Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment....

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Data Collection Survey on Traffic for International Port and International Corridor in Western Africa 9-1 Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea for Future Traffic Demand Forecast In this Survey, future OD tables are forecasted based on the OD tables to indicate present situation created through field traffic surveys, while an overview of future traffic demand for each corridor is calculated. Basic preconditions are shown in Table 9-1 below. Forecast of future traffic demand was obtained based on these preconditions and using flows of passengers and freight shown in Figure 9-1. Table 91 Preconditions of future traffic demand forecast Items Preconditions Target year Future OD table (2022) Zoning 27 zones Future road network The target road network is UEMOA corridors. It is presumed that current underdeveloped routes will be difficult to be in service by the year for forecast. Therefore, the current UEMOA corridors are used in the forecast. Generation/Attraction model The growth rate methodology is applied here. Since the traffic subject to the survey has the nature of crossborder traffic, the regression model usually used for urban traffic surveys cannot offer a fully satisfactory explanation. And, the number of samples is limited. Distribution model The present pattern methodology is applied here. It is presumed that there is no major variables in road performance and duration needed to travel between zones and linkage of zones will not change (Business As Usual: BAU). Assignment model Route assignment. Routes connecting zones are limited and interzone traffic is uniquely allocated to interzone roads. In accordance with bilateral agreements, traffic bound to landlocked countries cannot cross over other coastal countries. Share of vehicles In the year for forecast, share of vehicles and Railroads in traffic volume does not change. For share among vehicle types, the current share is applied. Transport efficiency Conversion factor to vehicles is obtained based on the number of passengers and freight volume transported in a vehicle obtained from surveys. Source: JICA Study team Figure 91 Basic idea for future traffic demand forecast Present OD pattern Present OD MarixGDP Growth rate Population /GDP per capita Passenger Demand Passager CarBusFreight Demand Light and Heavy TruckGrowth rate of export /import Traffic Assignment(Veh./day) Vehicle Type share Adjustment for AADT /Number of Vehicle Present OD pattern Present OD Marix*Customs data Share of Vehicle Type Adjustment to AADT /Number of Vehicle Present trade volume (t/year) Future freight OD Matrix (t/year) Future Vehicules Distribution (Future OD Matrix Veh./day) Future trade volume (t/year) Present Generation/Attraction (Trip/year) Future Generation/Attraction (Trip/year) Future Generation/Attraction (Veh./day) Future Vehicules Distribution (Future OD Matrix Veh./day)

Transcript of Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment....

Page 1: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port and International Corridor in Western Africa

9-1

Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea for Future Traffic Demand Forecast

In this Survey, future OD tables are forecasted based on the OD tables to indicate present

situation created through field traffic surveys, while an overview of future traffic demand for

each corridor is calculated. Basic preconditions are shown in Table 9-1 below. Forecast of

future traffic demand was obtained based on these preconditions and using flows of passengers

and freight shown in Figure 9-1.

Table 9‐1 Preconditions of future traffic demand forecast 

Items  Preconditions Target year  Future OD table (2022)Zoning  27 zones 

Future road network The target road network is UEMOA corridors. It is presumed that current underdeveloped routes will be difficult to be in service by the year for forecast. Therefore, the current UEMOA corridors are used in the forecast. 

Generation/Attraction model 

The growth rate methodology is applied here. Since the traffic subject to the survey has the nature of cross‐border traffic, the regression model usually used for urban traffic surveys cannot offer a fully satisfactory explanation. And, the number of samples is limited.

Distribution model 

The present pattern methodology is applied here. It is presumed that there is no major variables in road performance and duration needed to travel between zones and linkage of zones will not change   (Business As Usual: BAU).

Assignment model 

Route assignment. Routes connecting zones are limited and inter‐zone traffic is uniquely allocated to inter‐zone roads. In accordance with bilateral agreements, traffic bound to landlocked countries cannot cross over other coastal countries.

Share of vehicles In the year for forecast, share of vehicles and Railroads in traffic volume does not change. For share among vehicle types, the current share is applied. 

Transport efficiency Conversion factor to vehicles is obtained based on the number of passengers and freight volume transported in a vehicle obtained from surveys. 

Source: JICA Study team 

Figure 9‐1 Basic idea for future traffic demand forecast 

Present OD pattern(Present OD Marix)

GDP Growth rate

(Population

/GDP per capita

Passenger Demand (Passager Car、Bus) Freight Demand (Light and Heavy Truck)

Growth rate of export /import

Traffic Assignment(Veh./day)

Vehicle Type shareAdjustment for AADT /Number of Vehicle

Present OD pattern(Present OD Marix)

*Customs data

Share of Vehicle TypeAdjustment  to AADT /Number of Vehicle

Present trade volume(t/year)

Future freight OD Matrix (t/year)

Future Vehicules Distribution(Future OD Matrix Veh./day)

Future trade volume(t/year)

Present Generation/Attraction(Trip/year)

Future Generation/Attraction(Trip/year)

Future Generation/Attraction(Veh./day)

Future Vehicules Distribution(Future OD Matrix Veh./day)

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9.2 Socio-Economic Frame Work In forecasting future traffic demand for passengers and freight, a socio-economic frame was

set up. Population, GDP and import/export volumes that are generally used in forecasting future

traffic demand are set up for the frame.

9.2.1 Population

For the population frame, a frame established in each country was applied. For countries

where the population frame up until 2022 is not known, forecast was made by applying a

logistic curve created with actual data for 1990 and later. The population frame established is

160 million for 2022 (120 million for 2011).

Source: Estimation by JICA Study team 

Figure 9‐2 Population frame 

Table 9‐2 Population frame 

   Senegal  Mali Burkina 

Faso Niger 

Cote 

d'IvoireGhana  Togo  Benin  Total 

2011  12.9  15.8  16.2 15.7 20.1 25.0 6.4  9.1  121.2

2022  17.3  21.8  22.8 22.9 24.2 31.8 8.7  12.2  161.7

Source: Estimation by JICA Study team 

0

5

10

15

20

25

30

35

1990

1992

1994

1996

1998

2000

2002

2004

2006

2008

2010

2012

2014

2016

2018

2020

2022

百万人

Ghana

Cote d'Ivoire

Burkina Faso

Niger

Mali

Senegal

Benin

Togo

million 

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9.2.2 GDP

GDP here is based on the median estimates published in REP2 (Deuxieme phase du

Programme economique regional de l’UEMOA). For 2017 to 2022, the value of 2016 is applied.

Meanwhile, for GDP frame by country, linear regression analysis was made based on actual per

capita GDP up until 2011 to obtain future values up until 2022. By multiplying the values by

already obtained future population, GDP for each country was obtained. Furthermore, using

GDP for the entire UEMOA area as a control total, each country’s GDP was adjusted to obtain

GDP for each zone subject to forecast.

Table 9‐3 GDP frame (Growth rate)

  Senegal  Mali 

Burkina 

Faso Niger 

Cote 

d'Ivoire Ghana  Togo  Benin 

2012‐2017  6.6 %  7.0 %  7.8 % 7.3 % 4.3 % 4.3 % 6.1 %  6.4 %

2017‐2022  6.8 %  7.1 %  7.7 % 7.5 % 4.3 % 4.0 % 6.3 %  6.5 %

Source: Estimation by JICA Study team 

Absolute GDP in 2011 in Ghana is the largest accounting for 1/3 of the total but the growth

rate in 2022 over 2011 (2022/2011) will be 1.54 times at the lowest in Ghana. The highest

growth rate will be 2.19 times in Burkina Faso and 2.12 times in Niger. The growth rate in Cote

d’Ivoire will be the second lowest at 1.63 times.

Source: Estimation by JICA Study team 

Figure 9‐3 Forecast of GDP by country 

 ‐

 5,000

 10,000

 15,000

 20,000

 25,000

2000

2002

2004

2006

2008

2010

2012

2014

2016

2018

2020

2022

Benin

Burkina Faso

Cote d'Ivoire

Ghana

Mali

Niger

Senegal

Togo

Billion CFA 

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9.2.3 Imports and Exports Volume in weight

(1) Import/export volumes (Weight basis)

For import/export volumes, a future frame was obtained through linear regression analysis in

which country-by-country import/export volumes (weight basis) for the past five years were

used. Major items of goods used here are key 10 items selected when conducting analysis of

present traffic flow. In the volume totaling those of all items, exports are forecasted to grow by

1.63 times and imports by 1.56 times.

Based on the latest data on import and export volumes in weight for each item of key goods

for the past 5 years, forecasts of future imports and exports (in weight) were obtained through

the linear regression method (in order not to forecast based on singular values, however, the

upper limit of the growth rate in 2022 over 2011 was set at 2.50 times and lower limit at 0.50

times).

Major items of goods used in this forecast include 10 items selected in the section of 8.4.1 (3)

and the average growth rate for each item is indicated below for the 8 countries subject to this

survey.

The highest growth rate will be seen in grain exports, while in imports, the highest growth

rate will be found in fertilizer. Meanwhile, the lowest growth rate will be seen in cotton, both

for imports and exports. In total, exports will grow 1.63 times and imports 1.56 times, with not

much difference between the two.

Source: Data prepared by JICA survey team based on country statistics. 

Figure 9‐4 Average growth rate of imports and exports by item of key goods 

1.61

1.14

1.94

1.17 1.261.44 1.44 1.37

0.80

1.82 1.82 1.631.55

1.231.17

1.32

1.77 1.881.55 1.59

0.96

1.50 1.54 1.56

0.00

0.50

1.00

1.50

2.00

2.50

HS25:Cement; Salt &

Sulphur

HS27:M

ineral Fuels & Oils

HS10:Cereals

HS23:Residues from the

Food Industries

HS72:Iron and Steel

HS31:Fertilisers

HS17:Sugars and Sugar

Confectionery

HS 7:Edible Vegetables

HS52:Cotton

HS12:Oil Seed

s and

Oleaginous Fruits

other

total

EXPORT 2022/2011 IMPORT 2022/2011

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The growth rate of total imports and exports, respectively, of the 8 countries subject to this

survey is shown below.

The highest growth rate will be recorded by Senegal in exports and by Niger in imports. On

the other hand, the lowest growth rate will be seen in Cote d’Ivoire both in imports and exports.

In total of the 8 countries, exports will grow 1.63 times and imports 1.56 times. Characteristics

found in growth of imports and exports by item of goods in the 8 countries are shown below.

Source: Data prepared by JICA survey team based on country statistics. 

Figure 9‐5 Growth rate of imports and exports by country 

2.17

1.58

1.99

1.50

0.85

1.69

1.14

2.14

1.63

1.52

1.62 1.71

1.83

1.18

1.46

1.74

1.441.56

0.00

0.50

1.00

1.50

2.00

2.50

Senegal

Mali

Burkina Faso

Niger

Cote d'Ivoire

Ghana

Togo

Benin

total

EXPORT 2022/2011 IMPORT 2022/2011

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Table 9‐4 Characteristics of growth of imports and exports by item 

  Characteristics 

Senegal 

 

 

Exports 

Cement, etc. with the largest volume in weight grows 2.50 times. 

Imports 

Oil, etc. with the largest volume in weight grows 1.93 times. 

Mali  Exports 

Others with the largest volume in weight grow 2.50 times. 

Oil with the second largest volume in weight grows 1.57 times. 

Imports 

Cement, etc. with the largest volume in weight grows 2.17 times. 

Burkina Faso  Exports 

Others with the largest volume in weight grow 2.50 times. 

Shea nut with the second largest volume in weight grows 2.00 times. 

Imports 

Others with the largest volume in weight grow 2.07 times. 

Cement, etc. with the second largest volume in weight grow 1.60 times. 

Niger  Exports 

Others with the largest volume in weight grow 2.08 times. 

Imports 

Others with the largest volume in weight grow 2.50 times. 

Vegetables with  the  second  largest  volume  in weight  shrink  at  the  rate  of  0.74 times.   

Cote d'Ivoire  Exports 

Others with the largest volume in weight slightly grow 1.18 times. 

Oil with the second largest volume in weight shrinks at the rate of 0.50 times. 

Imports 

Others with the largest volume in weight grow 1.75 times. 

Ghana  Exports 

Oil with the largest volume in weight grows 2.50 times. 

Others with the second largest volume in weight shrink at the rate of 0.62 times. 

Imports 

Others with the largest volume in weight grow 1.86 times. 

Togo  Exports 

Cement, etc. with  the  largest volume  in weight  slightly  shrink at  the  rate of 0.98 times. 

Cotton with the second largest volume in weight grows 2.09 times. 

Imports 

Cement, etc. with the largest volume in weight grow 1.94 times. 

Benin  Exports 

Others with the largest volume in weight grow 2.27 times. 

Imports 

Others with the largest volume in weight grow 1.74 times. 

Data  justifying  the  forecasts of  imports and exports by  item of key goods by country are  included  in  the attached collection of 

materials. 

Source: JICA survey team 

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9.3 Future Traffic Demand Forecast

9.3.1 Forecasts of Future Passenger Demand

(1) Forecast procedures

Forecast was made on the future growth rate of concentrated occurrence traffic volume for

each zone, using each country’s present traffic statistics and future GDP growth rate forecasts

(see 9.2.2). Then, forecasted concentrated occurrence traffic volume and OD tables indicating

the present situation were used to create OD tables indicating the future situation through the

present pattern method.

(2) Results of forecast

According to the forecast, future cross-border passenger traffic demand (generated demand)

will be 40 million peoples/year, which is about 1.9 times the current figure. Examining

concentrated occurrence by country, Benin (16 million peoples/year) and Cote d’Ivoire (13

million peoples/year) are the largest, followed by Togo (11 million peoples /year).

In cross-border traffic, generally, flow in coastal countries is prominent; particularly linkage

between southern Cote d’Ivoire and southern Ghana and between southern Togo and southern

Benin is strong.

Of flow mainly in relation to inland countries, linkage between Niger and Benin and Nigeria

is strong, while Burkina Faso has a strong linkage with Cote d’Ivoire, Mali with Senegal and

Cote d’Ivoire.

            Source: JICA survey team 

Figure 9‐6 Flow of future (2022) passenger demand (‘000 peoples/year) 

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

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Boarder Passengers Volume2022 (1000people/year)

5000 ~ 4000 ~ 50003000 ~ 40002000 ~ 30001000 ~ 2000500 ~ 100010 ~ 500

Total Volume* : 40304

notice : Do not show less than 10

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Future OD traffic volume will increase from the current value in flow in inland countries of

Burkina Faso, Mali and Niger.

Source: JICA survey team 

Figure 9‐7 Growth of passenger demand (2022/2011) 

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

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2.1

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2.1

1. 91. 91. 91. 91. 91 .91 .91 .91. 9

1 .9

1 .9

1 .91 .9

1 .91 .9

1 .9

1 . 91 .9

1 .9

1 .91 .91.9

1.91.9

1.91.91.9

2. 1

2. 1

2. 12.1

2.12.1

2.1

2.1

2.1

2.1

2.1

2.12. 1

2. 12.1

2.1

2.12. 1

2.1

2.1

2.1 2.1

2.1 2.1

2.1

2.12.1

2.2

2.2

2.2 2.2

2.2 2.2

2.2

2.2

2.2

2.02.02.02.02.02 .02 .02 .02.01 .91 .91 .91 .91 .91.91.91.91 .9

2.12.12.12 .12 .12 .12 .12 .12 .1

2.12.12.12.12.12 .12 .12 .12.1

2 .12 .12 .12.12.12.12.12.12.1

2.32.3

2.32.32.32 .32 .3

2 .3

2.3

2.0

2.0

2.02.0

2.02. 0

2. 0

2. 0

2.0

1 .71.71.71.71.71.71.71.71.7

1.71.71.71 .71 .71.71.71.71 .71.51.51.51.51.51.51.51.51.5

1.51.51.51.51.51.51.51.51.5 1.71.71.71.71.71.71.71.71.71.81.81.81.81.81.81.81.81.8

1.71.71.71.71.71.71.71.71.7

1.71.71.71.71.71.71.71.71.7

1.61.61.61.61.61.61.61.61.6

1.91.91.91 .91 .91 .91 .91 .91 .9

1.81.81.81 .81 .81 .81 .81 .81 .81.91.91.91.91.91 .91 .91 .91.9

Boarder Passengers Volume Ratio2022 / 2011

3.0 ~2.0 ~ 3.01.0 ~ 2.0~ 1.0

228

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Data Collection Survey on Traffic for International Port and International Corridor in Western Africa

9-9

9.3.2 Forecast of Future Freight Demand

(1) Forecast procedures

Future growth rate of imports and exports by item of goods forecasted for each country over

the present situation (see Figure 9-4 and Figure 9-5) was used to obtain the future concentrated

occurrence traffic volume for each zone. And then, future OD tables were created based on the

above zone-based concentrated occurrence traffic volume and the current OD tables through the

present pattern method.

(2) Results of forecast

Future cross-border freight traffic demand (generated demand) will be 20 million tons/year,

which is about 1.6 times the current figure. Looking at concentrated occurrence by country,

Mali (8.6 million tons/year) is the largest, followed by Senegal (6.2 million tons/year) and

Burkina Faso (5.0 million tons/year).

In cross-border traffic, generally, flow between Mali and Senegal is prominent, while flow

between eastern Burkina Faso and the port of Lomé and southern Togo as well as between Mali

and the port of Abidjan is also large.

Source: JICA survey team 

Figure 9‐8 Flow of future (2022) freight demand (‘000t/year) : All Items of goods 

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

000000000

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

458945894589458945894589458945894589

158158158158158158158158158

141414141414141414

141414141414141414

83083

083083083083083

083083

0

364

364

36436

436436

436

4364364

109109109109109109109109109

808080808080808080

11

111111

1111

111111

434343434343434343248248248248248248248248248

101010101010101010

252525252525252525

3 02

302

302

302

30 2

302

302

30 2

302

797979797979797979

8181818 18 18181818 1

222222222222222222222222222

36736736736 736 736 736 736 736 7

21212121

2121

212121

989898

9898

989898

98

63636363

6363636363

434343434343434343

781781781781781781781781781

1325

1325132

513

25132

513

251325132

51325

757575757575757575

878787878787878787

57

5 75 757

5757

575757

4 646

4 646

4646

46

4 646

281

281

281

281

281

281

281

2 81

281

2 62 62 626262 62 62 626

404040404040404040

727272

7272

72727272

175175175175175175175175175

434343434343434343

38

38

3838

3838

38

3 838

808080808080808080

2 51

251

2 51

251

251

2 51

251

2 51

251

560

560

560

5 60

5 60

560

56 0

560

560

141414141414141414

151515151515151515

123

123

123 123

123123

1 23

12312

3

4 04 04 0404040404040

11111111111 11 11 111

5555

55 5555 5555

5555

14141414141 41 41 414333333333333333333

71

71

7171

7171

71

7171

160

160

160

160

160

160

160

160

160 299

299

2 99

29 9

299

29 9

29 9

299

29 9

47474747

4747

474747

87878787

8787878787

19191919

1919191919

409

409

409

409

4 09

409

409

409

4 09

282828282828282828

454 54 5

4545

454545

45

730

730

730

730

730

7 30

730

7 30

730

163163163163163163163163163

256256256256256256256256256

109110911091109110911091109110911091

323232323232323232

212121212121212121

260

260

260260

260260

260

260

260

242424242424242424

Boarder Cargo Weight(1000ton/year)2022 All Category

5000 ~ 4000 ~ 50003000 ~ 40002000 ~ 30001000 ~ 2000500 ~ 100010 ~ 500

Total Volume* : 20271

notice : Do not show less than 10

229

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Data Collection Survey on Traffic for International Port and International Corridor in Western Africa

9-10

Future OD traffic volume is particularly larger than the current figure in relation to flow in

inland countries such as Burkina Faso and western Niger, while flow in relation to Cote

d’Ivoire is found to have a tendency to decrease. (See Figure 9-9)

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

1.91.9

1.9

1.91.9

1. 91. 9

1. 9

1.9

1.4

1.4

1.4

1.4

1.4

1. 4

1. 4

1. 4

1.4

1.8

1 .8

1.81. 8

1. 81. 8

1 .8

1. 81.8

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

2.12.12.12.12.12.12.12.12.1 2.52.52.52.52.52.52.52.52.5

3 .03 .03 .03 .03 .03.03.03.03 .0

1.71.71.71.71.71.71.71.71.7

1.81.81.8

1.81.8

1.81.81.8

1.8

1.8

1.8

1.81.8

1.81.8

1.8

1.81.8

1 .51 .51 .51 .51 .51.51.51.51 .5

1.71.71.71.71.71.71.71.71.7

1. 6

1.6

1. 61. 6

1. 61.6

1.6

1.61.6

1.71.71.71.71.71.71.71.71.7

1.81.81.81.81.81.81.81.81.8

1.71.71.71.71.71.71.71.71.7

1.01.0

1.0

1.01.0

1.01.0

1.0

1.0

0.7

0.7

0.7

0. 70. 7

0. 7

0. 7

0. 7

0. 7

1.51.51.51.51.51.51.51.51.5

1.11.11.11 .11 .11. 11. 11. 11 .1

2.02.02.02.02.02.02.02.02.0

2 .02 .02 .02.02.02.02.02.02.0

1 .3

1 .3

1.31.3

1.31.3

1.3

1.31.3

1. 4

1. 4

1. 4

1. 41. 4

1.4

1.4

1.4

1. 4

1.41.41.41.41.41. 41. 41.41.4

1.41.41.41.41.41.41.41.41.4

1.51.51.51.51.51.51.51.51.5

1.91.91.9

1.91.9

1.91.91.9

1.9

1.51.51.51.51.51. 51. 51. 51.5

2 .22 .22 .22 .22 .22.22.22.22 .2

0.9

0 .9

0 .9

0.9

0.9

0.9

0.9

0.9

0.9

1.8

1.8

1.81. 8

1. 81.8

1.8

1.81. 8

1.8

1.8

1.8 1.8

1.81.8

1.8

1.8

1.8

1 .31.3

1.3

1. 31. 3

1 . 31. 3

1. 3

1. 3

2. 52. 52. 52. 52. 52.52.52.52. 5

2 .02 .02 .02 .02 .02 .02 .02 .02 .0

1.81.81.81 .81 .81.81.81.81 .8

1. 7

1. 7

1.7

1. 7

1 .7

1.7

1.7

1 .7

1. 7

1.81.81.81.81.81.81.81.81.8

2.4

2. 4

2. 42. 4

2. 42. 4

2. 4

2. 42. 4

2.12.12.12.12.12.12.12.12.1

2.32.32.32.32.32.32.32.32.3

2.5

2.5

2.5 2.5

2.52.5

2.5

2.52.5

2.0

2 .02 .02.02.0

2.0

2.02.02.0

0. 90. 90. 90. 90. 90 .90 .90 .90. 9

1.9

1.9

1.9 1.9

1.9 1.9

1.9

1.91.9 2.02.02.0

2.02.02 .02 .02 .02.01 .31 .31 .31.31.31.31.31.31.3

1. 9

1. 9

1. 91. 9

1. 91.9

1.9

1.91. 9

2.1

2. 1

2. 12 .1

2. 12.1

2.1

2.12. 1 1 .

91.9

1.91.9

1. 91.9

1.9

1.91. 9

1.4

1.4

1.41 .4

1 .41 .4

1 .4

1 .4

1 .4

1 .3

1 .3

1 .31 .3

1 .31 .3

1 .3

1 .31 .3

1 .7

1 .7

1 .71 .7

1 .71.7

1.7

1.71 .7

1.8

1.8

1.81.8

1.81. 8

1. 8

1. 8

1.81.21.21.21 .21 .21 .21 .21 .21 .2

1.8

1 .81 .81.81 .8

1.8

1.81.81 .8

1.9

1.9

1.91.9

1.91.9

1.9

1.9

1.9

0.70.70.70.70.70.70.70.70.7

1.21.21.21 .21 .21.21.21.21 .2

1.21.21.21.21.21.21.21.21.2

1.61.61.61.61.61.61.61.61.6

2.02.02.02.02.02.02.02.02.0

1.2

1.2

1.21 .2

1 .21 .2

1 .2

1 .21 .2

1. 91. 91. 91 .91 .91 .91 .91 .91 .9

Boarder Cargo Weight Ratio2022/2011 All Category

3.0 ~2.0 ~ 3.01.0 ~ 2.0~ 1.0

Source: JICA survey team 

Figure 9‐9 Growth of freight demand (2022/2011) for All Items of goods 

Figures from 9-10 to 9-29 are flow maps of Freight by item of goods (2022) and grow rates

of freight demand by item of goods (2022/2011).

Major characteristics found in traffic flow are shown below for each item of goods (see Table

9-5).

230

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Data Collection Survey on Traffic for International Port and International Corridor in Western Africa

9-11

Table 9‐5 Characteristics of imports and exports traffic demand by item of goods 

  Characteristics 

HS7:Edible Vegetables  Flow between Niger and southern Ghana is large. 

Growth rate is higher for flow between inland countries (Burkina Faso and western Niger) and coastal countries (southern Ghana, southern Togo and southern Benin). 

Flow in relation to Cote d’Ivoire tends to decrease. 

HS10:Cereals  Flow between  inland countries and ports are  large: between Mali and the port of Dakar or Abidjan as well as between Burkina Faso and the port of Tema, Lomé or Cotonou. 

Growth rate is higher for flow in relation to the port of Tema or Lomé and Mali. 

HS12:Oil Seeds   

and Oleaginous Fruits 

Flow volume is the largest between east zone of Burkina Faso and the port of Lomé. 

Most of  flow  concentrates on east  zone of Burkina Faso, which  is mainly between domestic zone of Ghana or Togo and ports. 

Growth rate is higher for flow in relation to Senegal or Burkina Faso, while flow decreases in relation to Mali.   

HS17:Sugars and   

Sugar Confectionery 

Flow volume is the largest between Mali and the port of Abidjan or Dakar, that  is  flow  in  relation  to Mali, while  flow between eastern Burkina Faso and ports is rather large. 

Growth  rate  is  higher  for  flow  in  relation  to  Burkina  Faso, while  flow  in relation to Niger tends to decrease. 

HS23:Residues  from  the 

Food Industries 

Flow volume is the largest in relation to Senegal. 

Growth rate is the highest for flow in relation to Niger. 

HS25:Cement;   

Salt & Sulphur 

The largest is flow between Mali and Senegal. 

Growth  rate  is  the highest  for  flow  in  relation  to Senegal and  the port of Cotonou. 

HS27:Mineral Fuels   

& Oils 

Flow volume  is the  largest between Mali and Senegal and flow  in relation to Mali is large. 

Growth rate is the highest for flow in relation to Mali and flow in relation to eastern Niger. 

HS31:Fertilizers  Flow volume is the largest between Mali and the port of Abidjan or Dakar. 

Growth  rate  is  the  highest  for  flow  in  relation  to  the  port  of Abidjan  or Cotonou and Burkina Faso. 

HS52:Cotton  Flow volume  is the  largest between eastern Burkina Faso and the port of Lomé, all in relation to Burkina Faso. 

Growth  rate  is  the  highest  for  flow  in  relation  to  eastern  Burkina  Faso, while flow tends to decrease in relation to Mali.   

HS72:Iron and Steel  Flow volume is the largest between Mali and the port of Abidjan or Dakar. 

Growth rate  is the highest for flow  in relation to the ports of Abidjan and Cotonou and Niger. 

Source: JICA survey team 

231

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Data Collection Survey on Traffic for International Port and International Corridor in Western Africa

9-12

Figure 9‐10 Flow of future (2022) freight demand (‘000t/year): HS7 Edible Vegetables 

Figure 9‐11 Growth of freight demand (2022/2011): HS7 Edible Vegetables 

Source: JICA survey team 

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

000000000

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

111111111111111111

111111111

111 111111 555555555333333333

222222222

111111111

777777777

111111111

666666666

888888888

111111111

111111111

888 88888843

43

43 43

4343

43

43

43

18

1818

181 8

18

1818

18

222222222

22222 2222

111111111

111111111

333333333

111111111

222 22 2222

292929292929292929

222222222

333 33 3333

14141414

1414

141414

23

23

2323

2323

23

23

23

222222222

111111111 272727272727272727

Boarder Cargo Weight(1000ton/year)2022 HS7 Edible Vegetables

100 ~ 80 ~ 10060 ~ 8040 ~ 6020 ~ 4010 ~ 201 ~ 10

Total Volume* : 304

notice : Do not show less than 1

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMaliMaliMaliMaliMaliMali

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

1.21.21.21.21.21.21.21.21.2

1.0

1.0

1.01.0

1.01.0

1.0

1.01.0

0.9

0.9

0.9

0. 90. 9

0. 9

0. 9

0. 9

0. 9

1. 0

1. 0

1. 0

1. 01. 0

1.0

1.0

1.0

1. 0

1.01.01.01.01.01.01.01.01.0

1.31.31 .31 .31 .31 .31 .31 .31 .3

1 .01 .01 .01. 01. 01.01.01.01. 0

2 .02 .02 .02 .02 .02.02.02.02 .0

1 .3

1.3

1.31.3

1. 31 .3

1.3

1.31. 3

2.1

2.1

2.1

2.1

2.1

2.1

2 .1

2 .1

2.1

3.6

3.6

3.6

3.6

3.6

3. 6

3. 6

3. 6

3.6

2.0

2.02.0

2.0

2.0

2.0

2.02.0

2.0

2.02.02.02 .02 .02. 02. 02. 02 .0

2.02.0

2.02.02.02.02.0

2.02.0

1.01.01.01.01.01.01.01.01.0

3.03.03.0

3.03.0

3.03.03.0

3.0

0 .70 .70 .70 .70 .70 . 70. 70 .70.7

1 .0

1 .0

1 .01.0

1.01.0

1.0

1.0

1.0

0.7

0.7

0.7 0.7

0.7 0.7

0.7

0.70.7

1 .41.41.41.41.41.41.41.41.41.01.01.01.01.01.01.01.01.0

3 .0

3.0

3.03.0

3. 03.0

3.0

3.03. 0

0.5

0.5

0.50 .5

0 .50 .5

0 .5

0 .5

0 .5

1 .0

1 .0

1 .01 .0

1 .01.0

1.0

1.01 .0

1 .6

1 .6

1 .61 .6

1 .61.6

1.6

1.6

1 .6

1.31.31.31 .31 .31 .31 .31 .31 .3

1 .01 .01.0

1. 01. 0

1 . 01 . 01. 0

1. 0

2.0

2.0

2.02.0

2.02.0

2.0

2.0

2.0

0.50.50.50.50.50.50.50.50.5 2.32.32.32.32.32.32.32.32.3

Boarder Cargo Weight Ratio2022/2011 HS7 Edible Vegetables

3.0 ~2.0 ~ 3.01.0 ~ 2.0~ 1.0

232

Page 13: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port and International Corridor in Western Africa

9-13

Figure 9‐12 Flow of future (2022) freight demand (‘000t/year): HS10 Cereals 

Figure 9‐13 Growth of freight demand (2022/2011): HS10 Cereals 

Source: JICA survey team 

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

000000000

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

153153153153153153153153153

101010101010101010

131313131313131313

111111111

222222222

555 555555

555555555

555555555

666666666

222222222

888888888

444444444

333333333888888888

481481481481481481481481481

282

282

282

282

282

282

282

282

282

343434343434343434

5 35 35 3535353535353

333333333333333333

333333333 111 111111

666666666

21

21

2121

2121

21

2121

132

132

132

132

132

132

132

132

132

555555555

14

14

14 14

1414

14

1414

888888888

333 33 3333 222222222

3939

3939393939

3939 4

545

4545

45 45

45

4545

47

4747

4747

47

4747

47

49

49

4949

4949

49

49

49

555555555

222222222

Boarder Cargo Weight(1000ton/year)2022 HS10 Cereals

500 ~ 400 ~ 500300 ~ 400200 ~ 300100 ~ 20050 ~ 1005 ~ 50

Total Volume* : 1884

notice : Do not show less than 1

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

2.62.62.62.62.62.62.62.62.6

1.61.61.6

1.61.6

1.61.61.6

1.6

1.4

1.4

1.41.4

1.41.4

1.4

1.41.4

1.01.01.01.01.01.01.01.01.0

2. 02. 02. 02 .02 .02 .02 .02 .02 .0

3 .03 .03 .03.03.03 .03 .03 .03.0

1.81.81.81.81.81.81.81.81.8

1.31.31.31.31.31.31.31.31.3

3.03.0

3.0

3.03.0

3.03.0

3.0

3.0

2.3

2.3

2.3

2. 32. 3

2. 3

2. 3

2. 3

2. 3

3.73.73.73.73.73.73.73.73.7

2.02.02.0

2.02.0

2.02.02.0

2.0

3.53.53.53.53.53. 53. 53. 53.5

2 .12 .12 .12. 12. 12.12.12.12. 1

1 .91 .91 .91 .91 .91.91.91.91 .9

1.0

1.0

1.01. 0

1. 01.0

1.0

1.01. 0

1.0

1.0

1.0 1.0

1.01.0

1.0

1.0

1.0

3.5

3.5

3.5

3.5

3.5

3. 5

3. 5

3. 5

3.5

1. 4

1. 4

1. 41. 4

1. 41. 4

1. 4

1. 41. 4

2.5

2.5

2.5

2.52.5

2. 5

2. 5

2. 5

2.5

1.3

1.3

1.31.3

1.31.3

1.3

1.31.3

1.7

1.7

1.7 1.7

1.71.7

1.7

1.71.7

2.7

2 .72 .72.72.7

2.7

2.72.72.7

1 .0

1.0

1.01.0

1.01.0

1.0

1.01.0

1.0

1.0

1.0 1.0

1.0 1.0

1.0

1.01.0

1.0

1.0

1.0 1.0

1.0 1.0

1.0

1.0

1.0

1.51.51.51.51.51 .51 .51 .51.5

1.8

1. 8

1. 81.8

1. 81.8

1.8

1.81. 8 1 .

01.0

1.01.0

1. 01.0

1.0

1.01. 0

1.8

1.8

1.8

1.8

1.8

1.8

1.8

1.8

1.8

1 .0

1 .0

1 .01 .0

1 .01.0

1.0

1.01 .0

1.4

1.4

1.41.4

1.41. 4

1. 4

1. 4

1.4

1.7

1.7

1.71.7

1.71.7

1.7

1.7

1.7

0.30.30.30.30.30.30.30.30.3 1.01.01.01.01.01.01.01.01.0

Boarder Cargo Weight Ratio2022/2011 HS10 Cereals

3.0 ~2.0 ~ 3.01.0 ~ 2.0~ 1.0

233

Page 14: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port and International Corridor in Western Africa

9-14

Figure 9‐14 Flow of Future (2022) freight demand (‘000t/year):                                                             

HS12 Oil Seeds and Oleaginous Fruits 

Figure 9‐15 Growth freight demand (2022/2011): HS12 Oil Seeds and Oleaginous Fruits 

Source: JICA survey team

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

000000000

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

222222222333333333

777777777

666666666

111111111

262 62 6

2626

262626

26 111111111

333333333

111111111

333333333

13

13

1 313

1313

13

1 313

52

52

52 52

5252

52

52

52

63

6363

636 3

63

6363

63

333333333

18

18

1818

1818

18

1818

242424

242 4

242424

24

111111111 333333333

222 222222

333333333

111111111

20

20

2020

2020

20

20

20

222222222

222222222

Boarder Cargo Weight(1000ton/year)2022 HS12 Oil Seeds and Fruits

100 ~ 80 ~ 10060 ~ 8040 ~ 6020 ~ 4010 ~ 201 ~ 10

Total Volume* : 366

notice : Do not show less than 1

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

3.03.03.03.03.03.03.03.03.04.04.04.04.04.04.04.04.04.0

1.01.0

1.0

1.01.0

1.01.0

1.0

1.0

0.9

0.9

0.9

0. 90. 9

0. 9

0. 9

0. 9

0. 9

0.20.20.20.20.20.20.20.20.2

0.80.80.8

0.80.8

0.80.80.8

0.8 3.0

3 .0

3 .0

3.0

3.0

3.0

3.0

3.0

3.0

1.2

1.2

1.21. 2

1. 21.2

1.2

1.21. 2

1.3

1.3

1.3 1.3

1.31.3

1.3

1.3

1.3

2.8

2.8

2.8

2.8

2.8

2. 8

2. 8

2. 8

2.8

2.02.02.02.02.02.02.02.02.0

2.6

2. 6

2. 62. 6

2. 62. 6

2. 6

2. 62. 6

2.4

2.4

2.4

2.42.4

2. 4

2. 4

2. 4

2.4

1.01.01.01.01.01.01.01.01.0 3.03.03.0

3.03.03.03.03.03.0

3.0

3.0

3.0 3.0

3.03.0

3.0

3.03.0

2.0

2 .02 .02.02.0

2.0

2.02.02.0

1.0

1 .0

1.01. 0

1. 01. 0

1 .0

1. 01.0

2.0

2.0

2.02.0

2.02. 0

2. 0

2. 0

2.0

2.0

2.0

2.02.0

2.02.0

2.0

2.0

2.0

1.01.01.01.01.01.01.01.01.0

1.01.01.01.01.01.01.01.01.0

Boarder Cargo Weight Ratio2022/2011 HS12 Oil Seeds and Fruits

3.0 ~2.0 ~ 3.01.0 ~ 2.0~ 1.0

234

Page 15: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port and International Corridor in Western Africa

9-15

Figure 9‐16 Flow of future (2022) freight demand (‘000t/year)                                                               

HS17: Sugars and Sugar Confectionery 

Figure 9‐17 Growth freight demand (2022/2011): HS17: Sugars and Sugar Confectionery 

Source: JICA survey team 

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

000000000

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

111111111

222222222

333333333

111111111

444444444

777777777222222222

222 222222 444444444

333333333555555555

333333333

444444444

555555555

111111111 111111111

444444444

777777777

120120120120120120120120120

161

161

161

161

161

161

161

161

161

202020202020202020 666666666

555555555353535

353 5

353535

35

888888888

222 222222

111111111

111 11 1111

666 66 6666222 22 2222

555555555

666 666666

111111111

14

14

1414

1414

14

1414

111111111

222222222222222222

222222222

Boarder Cargo Weight(1000ton/year)2022 HS17 Sugars

100 ~ 80 ~ 10060 ~ 8040 ~ 6020 ~ 4010 ~ 201 ~ 10

Total Volume* : 505

notice : Do not show less than 1

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

1.31.31.3

1.31.3

1.31.31.3

1.3

2.0

2.0

2.02.0

2.02.0

2.0

2.02.0

2 .52 .52 .52 .52 .52.52.52.52 .5

2.0

2.0

2.0

2. 02. 0

2. 0

2. 0

2. 0

2. 0

1.01.01.01 .01 .01. 01. 01. 01 .0

1.41.41.41.41.41.41.41.41.4

1.81.81.8

1.81.8

1.81.81.8

1.8

3.53.53.53.53.53. 53. 53. 53.5 3

.53 .5

3 .5

3.5

3.5

3.5

3.5

3.5

3.5

2. 0

2. 0

2. 02. 0

2. 02. 0

2. 0

2. 02. 0

3.9

3.9

3.9

3.93.9

3. 9

3. 9

3. 9

3.9

3.0

3.0

3.03.0

3.03.0

3.0

3.03.0

1.5

1.5

1.5 1.5

1.51.5

1.5

1.51.5

2.0

2 .02 .02.02.0

2.0

2.02.02.0

0.5

0.5

0.50. 5

0. 50.5

0.5

0.50. 5

1.0

1. 0

1. 01.0

1. 01.0

1.0

1.01. 0

0.8

0.8

0.8

0.8

0.8

0.8

0.8

0.8

0.8

0.7

0.7

0.70.7

0.70.7

0.7

0.7

0.7

1.01.01.01.01.01.01.01.01.0

0.70.70.70.70.70.70.70.70.7

2.02.02.02.02.02.02.02.02.0

1.0

1.0

1.01 .0

1 .01 .0

1 .0

1 .01 .0

3.03.03.03 .03 .03 .03 .03 .03 .0

Boarder Cargo Weight Ratio2022/2011 HS17 Sugars

3.0 ~2.0 ~ 3.01.0 ~ 2.0~ 1.0

235

Page 16: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port and International Corridor in Western Africa

9-16

Figure 9‐18 Flow of future (2022) freight demand (‘000t/year)                                                     

HS23 Residues from the Food Industries 

  

Figure 9‐19 Growth freight demand (2022/2011): HS23 Residues from the Food Industries Source: JICA survey team 

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

000000000

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

222222222222222222

333333333

111111111111111111

444444444

444444444

111111111

333333333

666666666 777 77 7777

444 44 4444222 22 2222

333333333

111111111

777 77 7777

333333333

111111111

111111111111111111

111111111

222222222 111111111

Boarder Cargo Weight(1000ton/year)2022 HS23 Residues and Waste

100 ~ 80 ~ 10060 ~ 8040 ~ 6020 ~ 4010 ~ 201 ~ 10

Total Volume* : 80

notice : Do not show less than 1

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

2.02.02.02.02.02.02.02.02.00.70.70.70.70.70.70.70.70.7

1.51.51.5

1.51.5

1.51.51.5

1.5

1.8

1.8

1.81.8

1.81.8

1.8

1.81.8

0 .70 .70 .70.70.70 .70 .70 .70.7

1.0

1 .0

1 .0

1.0

1.0

1.0

1.0

1.0

1.0

1. 01. 01. 01. 01. 01.01.01.01. 0

1.0

1.01.0

1.0

1.0

1.0

1.01.0

1.01.0

1.0

1.01.0

1.01.0

1.0

1.01.0

1. 01. 01.01.01.01 .01 .01 .01.0

2.0

2.0

2.02. 0

2. 02.0

2.0

2.02. 0

2.0

2.0

2.0 2.0

2.0 2.0

2.0

2.02.0

2.0

2.0

2.0 2.0

2.0 2.0

2.0

2.0

2.0

3 .0

3 .0

3 .03 .0

3 .03 .0

3 .0

3 .03 .0

1 .0

1 .0

1 .01 .0

1 .01.0

1.0

1.01 .0

1.6

1.6

1.61.6

1.61. 6

1. 6

1. 6

1.6

1.31.31.31.31.31.31.31.31.3

1.01.01.01.01.01.01.01.01.0

1.01.01.01.01.01.01.01.01.0

1.01.01.01.01.01.01.01.01.0

1.01.01.01.01.01.01.01.01.00.50.50.50.50.50.50.50.50.5

1 .0

1 .0

1 .01.0

1.01 .0

1 .0

1 .01.0

2.0

2.0

2.02 .0

2 .02 .0

2 .0

2 .02 .0

Boarder Cargo Weight Ratio2022/2011 HS23 Residues and Waste

3.0 ~2.0 ~ 3.01.0 ~ 2.0~ 1.0

236

Page 17: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port and International Corridor in Western Africa

9-17

Figure 9‐20 Flow of future (2022) freight demand (‘000t/year): HS25 Cement; Salt & Sulphur 

Figure 9‐21 Growth freight demand (2022/2011): HS25 Cement; Salt & Sulphur 

Source: JICA survey team 

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

000000000

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

403840384038403840384038403840384038

616161616161616161

777777777

473

473

473

473

473

473

473

473

473

188

188

18818

818818

818

8188188

616161616161616161

404040404040404040

999999999

363636363636363636

505 05 0

5050

505050

50 666666666

2222222 22 22222222 2

29292929

2929292929

888888888 999999999

12

12

1 212

1212

12

1 212

121

121

121

121

121

121

121

121

121

2 32 32 323232 32 32 323

15

15

1515

1 515

15

1 515

50

5 05050

5050

5 05050 262

262

262

262

262

262

262

262

262

23

23

2323

2323

23

2323

51

5151

5151

51

5151

51

5 2525252

5252

525252

53

53

5353

5353

53

53

53

131 31 3

131 3

131313

1 3

777777777

115

115

115

115

115

115

115

1 15

115

111111111111111111

707070707070707070

814814814814814814814814814

66666666646464646

4646

464646

Boarder Cargo Weight(1000ton/year)2022 HS25 Salt; Sulphur

5000 ~ 4000 ~ 50003000 ~ 40002000 ~ 30001000 ~ 2000500 ~ 100010 ~ 500

Total Volume* : 7690

notice : Do not show less than 5

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

2.52.52.52.52.52.52.52.52.53.13.13.13.13.13.13.13.13.1

3 .53 .53 .53 .53 .53.53.53.53 .5

1.81.81.81.81.81.81.81.81.8

1.8

1.8

1.81.8

1.81.8

1.8

1.81.8

2 .32 .32 .32 .32 .32.32.32.32 .3

1.81.81.81.81.81.81.81.81.82.42.42.42.42.42.42.42.42.4

1.01.0

1.0

1.01.0

1.01.0

1.0

1.0

0 .50 .50.5

0. 50. 5

0. 50. 50. 5

0. 5

2.32.32.32.32.32.32.32.32.3

1.21.21.21 .21 .21. 21. 21. 21 .2

1.41.41.41.41.41. 41. 41.41.4

1.31.31.31.31.31.31.31.31.3

2.32.32.3

2.32.3

2.32.32.3

2.3 0.7

0 .7

0 .7

0.7

0.7

0.7

0.7

0.7

0.7

2 .4

2 .4

2.42.4

2. 42 .4

2 .4

2.42.4

2.7

2.7

2.7 2.7

2.72 .7

2.7

2.7

2.7

1 .21 .21 .21. 21. 21 . 21 . 21 . 21. 2

1.4

1.4

1.4

1.4

1.4

1. 4

1. 4

1. 4

1.4

1.8

1.8

1.81 .8

1 .81 .8

1 .8

1 .8

1 .8

2 .4

2 .4

2 .42.4

2.42 .4

2 .4

2 .42.4 1 .2

1 .2

1 .2

1.2

1.2

1.2

1.2

1.2

1.2

1. 4

1. 4

1. 41. 4

1. 41.4

1.4

1.41. 4

3.43.43.43.43.43.43.43.43.4

0 .80 .80 .80 .80 .80 .80 .80 .80 .8

1 .6

1 .6

1 .61 .6

1 .61.6

1.6

1.6

1 .6

1 .21 .21 .21 .21 .21.21.21.21 .2

3.1

3.1

3.13.1

3.13.1

3.1

3.13.1

1.71.71.71.71.71.71.71.71.7

1.01.01.01.01.01.01.01.01.0

1.01.01.01.01.01.01.01.01.0

0.30.30.30.3

0 .30.30 .30 .30 .3

Boarder Cargo Weight Ratio2022/2011 HS25 Salt; Sulphur

3.0 ~2.0 ~ 3.01.0 ~ 2.0~ 1.0

237

Page 18: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port and International Corridor in Western Africa

9-18

Figure 9‐22 Flow of future (2022) freight demand (‘000t/year): HS27 Mineral Fuels & Oils

Figure 9‐23 Growth freight demand (2022/2011): HS27 Mineral Fuels & Oils 

Source: JICA survey team

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

6464646 46 46464646 4

135135135135135135135135135

254

254

254

254

254

254

254

254

254

240240240240240240240240240

216

216

216

216

216

216

216

2 16

216

000000000

LomeLomeLomeLomeLomeLomeLomeLomeLomeCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

TemaTemaTemaTemaTemaTemaTemaTemaTemaAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

392392392392392392392392392131313131313131313

111111111111111111

171717171717171717

393939393939393939

111111111111111111

114

114

114

114

11 4

114

114

11 4

114

149149149149149149149149149

4141414 14 14141414 1

949494949494949494

156156156156156156156156156

999999999

11111111

1111111111

888888888

232323232323232323

777777777

666666666 11

11

11 11

1111

11

11

11

555555555

152152152152152152152152152

555555555

212121212121212121

56

56

5656

5656

56

5656

111

111

111

111

111

111

111

111

111

141414141414141414

37

37

37 37

3737

37

3737

777777777

10101010

1010101010

2626

2626262626

2626 5

959

5959

59 59

59

5959

27

27

2727

2727

27

27

27

777777777

232323232323232323 888888888

Boarder Cargo Weight(1000ton/year)2022 HS27 Mineral Fuels

500 ~ 400 ~ 500300 ~ 400200 ~ 300100 ~ 20050 ~ 1005 ~ 50

Total Volume* : 2836

notice : Do not show less than 5

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

0.90.90.90.90.90.90.90.90.9 1.21.21.21.21.21.21.21.21.2

0.80.80.80.80.80.80.80.80.8

1.3

1.3

1.31.3

1.31.3

1.3

1.31.3

1.81.81.81.81.81.81.81.81.8

3.73.73.73.73.73.73.73.73.7

3.33.33.33.33.33.33.33.33.3

0.9

0.90 .9

0. 90. 9

0. 9

0. 90. 9

0. 9

5 .55.55.55.55.55.55.55.55.5

0.90.90.90 .90 .90. 90. 90. 90 .9

0.90.90.90.90.90.90.90.90.9

0 .90 .90 .90.90.90. 90. 90. 90.9

1. 31. 3

1. 3

1. 31. 3

1.31.3

1.3

1. 3

1.81.81.81.8

1.81. 81. 81. 81.8

1.61.61.61.61.61.61.61.61.6

3.83.83.83.83.83.83.83.83.8

1 .41.41.41.41.41.41.41.41.4

0 .4

0 .40 .40.4

0.40.4

0.40.40.4 2.8

2.8

2.8 2.8

2.82 .8

2 .8

2 .8

2.8

0.40.40.40.40.40.40.40.40.4

1.91.91.91 .91 .91 .91 .91 .91 .9

2.52.52.52 .52 .52.52.52.52 .5

0.90.90.90.90.90.90.90.90.9

2.2

2.2

2. 22.2

2. 22 .2

2 .2

2. 22.2

1.31.31.31 .31 .31. 31. 31. 31 .3

2.02.02.02.02.02.02.02.02.0

2.5

2.5

2.5

2.5

2.5

2.5

2 .5

2 .5

2.5

1.41 .41 .4

1.41.4

1.41.41.4

1.40 .8

0 .8

0 .80 .8

0 .80 .8

0 .8

0 .80 .8

2 .6

2.6

2.62.6

2. 62.6

2.6

2.62. 6

3.4

3 .4

3 .4

3.4

3 .4

3. 4

3.4

3.4

3 .4

2.32.3

2.32.32.32 .32 .3

2.32.3 1.8

1.8

1.81.8

1.81.8

1.8

1.81.8

0.20.20.20.20.20.20.20.20.2

0.60.60.60.60.60.60.60.60.6

0.70.70.70.70.70.70.70.70.7

Boarder Cargo Weight Ratio2022/2011 HS27 Mineral Fuels

3.0 ~2.0 ~ 3.01.0 ~ 2.0~ 1.0

238

Page 19: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port and International Corridor in Western Africa

9-19

Figure 9‐24 Flow of future (2022) freight demand (‘000t/year):HS31 Fertilizers 

Figure 9‐25 Growth freight demand (2022/2011): HS31 Fertilizers 

Source: JICA survey team

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

000000000

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

252525252525252525

111111111

333333333

555555555

15

151515

1515

151515

444 444444

111111111

999999999

616161616161616161

929292929292929292

333333333999999999 222222222

1313131 31 31313131 3

111111111

626262

6262

626262

62

111111111

555555555

103103103103103103103103103

184

184

184

184

184

184

184

184

184

666666666

333333333

111111111

111 11111115

15

15 15

1515

15

15

15

2222222227777777 77 77777777 7

222222222

111111111

666666666101010

101 0

101010

10

333 333333

26

26

2626

26 26

26

2626 555 555555

999999999

17

17

1717

1717

17

17

17

16

16

1616

1616

16

1616

212121212121212121

22222222215151515

1515

151515

Boarder Cargo Weight(1000ton/year)2022 HS31 Fertilisers

100 ~ 80 ~ 10060 ~ 8040 ~ 6020 ~ 4010 ~ 201 ~ 10

Total Volume* : 918

notice : Do not show less than 1

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

1.51.51.51.51.51.51.51.51.5

2.02.02.02.02.02.02.02.02.0

1.01.01.0

1.01.0

1.01.01.0

1.0

1.7

1.7

1.71.7

1.71.7

1.7

1.71.7

2.7

2.7

2.72.7

2.72.7

2.7

2.72.7

3 .03.03.03.03.03.03.03.03.0

2.72.72.72.72.72.72.72.72.7

0.80.80.80.80.80.80.80.80.8

0.9

0.9

0.9

0. 90. 9

0. 9

0. 9

0. 9

0. 9

0.70.70.70.70.70.70.70.70.7

2.62.62.62 .62 .62. 62. 62. 62 .6

1. 5

1. 51. 51. 51. 5

1.5

1.51.51. 5

1.01.01.01.0

1.01. 01. 01. 01.0

1.51.51.51.51.51.51.51.51.5

1.41.41.41.41.41.41.41.41.4

2.32.32.32.32.32.32.32.32.3

1.01.01.01.01.01. 01. 01. 01.0

2 .02.02.02.02.02.02.02.02.0

2 .0

2 .02 .02.0

2.02.0

2.02.02.0

2 .0

2.0

2.02.0

2. 02 .0

2.0

2.02. 0

1.2

1.2

1.2 1.2

1.21 .2

1 .2

1 .2

1.2

3 .03 .03 .03. 03. 03 . 03 . 03 . 03. 0

3.43.43.43.43.43. 43. 43. 43.4

2.0

2.0

2.02 .0

2 .02 .0

2 .0

2 .0

2 .0

2.02.02.02.02.02.02.02.02.0

3.0

3.0

3.03.0

3.03 .0

3 .0

3 .0

3.0

1.41.41.41 .41 .41. 41. 41. 41 .4

1.01.01.01.01.01.01.01.01.0

3.0

3.0

3.0 3.0

3.03 .0

3 .0

3 .0

3.0

2 .6

2 .6

2 .6

2.6

2.6

2.6

2.6

2.6

2.6

1.01.01.01.01.01 .01 .01 .01.0

2.52.52.52.52.52.52.52.52.5

3 .33 .33 .33.3

3 .33.33 .33 .33 .3

1 .5

1 .5

1 .51 .5

1 .51.5

1.5

1.5

1 .5

4.0

4.0

4.04.0

4.04.0

4.0

4.0

4.0

4.24.24.24.24.24.24.24.24.2

0.8

0.8

0.80 .8

0 .80 .8

0 .8

0 .80 .8

Boarder Cargo Weight Ratio2022/2011 HS31 Fertilisers

3.0 ~2.0 ~ 3.01.0 ~ 2.0~ 1.0

239

Page 20: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port and International Corridor in Western Africa

9-20

Figure 9‐26 Flow of future (2022) freight demand (‘000t/year): HS52: Cotton 

Figure 9‐27 Growth freight demand (2022/2011): HS52 Cotton 

Source: JICA survey team

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

909090

9090

909090

90

000000000

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

444444444

222222222

111111111

111111111

555555555

575757575757575757

333333333

111 111111333 333333

111111111

26

26

2626

2626

26

2626

222222

222 2

222222

22

111111111

333 333333

333333333

111111111

111111111111111111

Boarder Cargo Weight(1000ton/year)2022 HS52 Cotton

100 ~ 80 ~ 10060 ~ 8040 ~ 6020 ~ 4010 ~ 201 ~ 10

Total Volume* : 247

notice : Do not show less than 1

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

0.40.40.40.40.40.40.40.40.4

1 .0

1 .0

1.01.0

1.01.0

1.0

1.01.0

1. 0

1. 0

1. 0

1. 01. 0

1.0

1.0

1.0

1. 0

1.01.01.01.01.01.01.01.01.0

0.80.80.80.80.80.80.80.80.8

0.70.70.7

0.70.7

0.70.70.7

0.7

0.40.40.40.40.40. 40. 40. 40.4

1.0

1.0

1.01. 0

1. 01.0

1.0

1.01. 0

1.5

1.5

1.5 1.5

1.51.5

1.5

1.5

1.5

2. 0

2. 0

2. 02. 0

2. 02. 0

2. 0

2. 02. 0

1.2

1.2

1.2

1.21.2

1. 2

1. 2

1. 2

1.2

1.0

1.0

1.01.0

1.01.0

1.0

1.0

1.0

1.5

1.5

1.5 1.5

1.51.5

1.5

1.51.5

1.0

1 .01 .01.01.0

1.0

1.01.01.0

1.01.01.01. 01. 01.01.01.01. 0

1.01.01.01.01.01.01.01.01.0 1.01.01.01.01.01.01.01.01.0

Boarder Cargo Weight Ratio2022/2011 HS52 Cotton

3.0 ~2.0 ~ 3.01.0 ~ 2.0~ 1.0

240

Page 21: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port and International Corridor in Western Africa

9-21

Figure 9‐28 Flow of future (2022) freight demand (‘000t/year): HS72 Iron and Steel 

Figure 9‐29 Growth freight demand (2022/2011): HS72 Iron and Steel 

Source: JICA survey team

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_afr icase_afr icase_afr icase_africase_africase_africase_africase_africase_africa

129

129

129

129

129

12 9

129

129

129

595959

595 9

595959

59

000000000

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

118118118118118118118118118

154

154

154

154

154

154

154

154

154

505050505050505050

111111111444444444

121 21 2

1212

121212

12

101010101010101010

555555555

666666666

333333333

111111111

131313131313131313

737373737373737373

128

128

128

128

12 8

128

128

12 8

128

888888888

131313131313131313

111111111 111 111111111111111

141414141414141414

10

10

1010

1010

10

1010

282828

282 8

282828

28

666666666

111111111

666 666666

222222222111111111

666 66 6666

39

39

39 39

39 39

39

3939

999 99 9999

888888888

222 222222

111111111

16161616

1616161616

444 44 4444

222222222

555555555

111111111

404040404040404040 555555555

222222222

111111111

Boarder Cargo Weight(1000ton/year)2022 HS72 Iron and Steel

100 ~ 80 ~ 10060 ~ 8040 ~ 6020 ~ 4010 ~ 201 ~ 10

Total Volume* : 1077

notice : Do not show less than 1

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

2.62.62.62.62.62.62.62.62.6

1.71.71.7

1.71.7

1.71.71.7

1.7

1.6

1.6

1.61.6

1.61.6

1.6

1.61.6

2.02.02.02.02.02 .02 .02 .02.0

1.5

1.5

1.5

1. 51. 5

1. 5

1. 5

1. 5

1. 5

1.41.41.41.41.41.41.41.41.4

1.31.31.31.31.31 .31 .31 .31.3

1.01.01.01 .01 .01. 01. 01. 01 .0

1 .01 .0

1.01.01.01.01.0

1.01.0

1. 0

1. 0

1. 0

1. 01. 0

1.0

1.0

1.0

1. 0

1.91.91.91.91.91.91.91.91.9

1.81.81.81.81.81.81.81.81.8

2.12.12.12.12.12.12.12.12.1

2.02.02.02.02.02. 02. 02. 02.0

3.33.33.33.33.33.33.33.33.3

1.0

1.0

1.0 1.0

1.01 .0

1 .0

1 .0

1.0

1.8

1.8

1.8

1.8

1.8

1. 8

1. 8

1. 8

1.8

1. 01. 01. 01.01.01.01.01.01.0

1.0

1.01.0

1.0

1.0

1.0

1.01.0

1.0

1.41.41.41.41.41.41.41.41.4

2.0

2. 0

2. 02. 0

2. 02. 0

2. 0

2. 02. 0

1.61.61.6

1 .61.6

1. 61. 61. 6

1 .6

2.02.02.02.02.02.02.02.02.0

1.01.01.01.01.01.01.01.01.0

2.0

2.0

2.0 2.0

2.02.0

2.0

2.02.0

2.0

2 .02 .02.02.0

2.0

2.02.02.0

1.2

1.2

1.21. 2

1. 21.2

1.2

1.21. 2

1.7

1.7

1.7 1.7

1.7 1.7

1.7

1.71.7

1.8

1.8

1.8 1.8

1.8 1.8

1.8

1.8

1.8

2.02.02.02.02.02.02.02.02.0

0 .5

0 .5

0 .50.5

0 .50.5

0 .5

0 .50 .5

1 .81 .81 .81 .8

1 .81.81.81.81 .8

2.0

2.0

2.02.0

2.02. 0

2. 0

2. 0

2.0

2.0

2.0

2.02.0

2.02 .0

2 .0

2.02.0 5.0

5.0

5.05.0

5.05.0

5.0

5.0

5.0

1.01.01.01.01.01. 01. 01. 01.0

1.11.11.11.11.11.11.11.11.1 0.80.80.80.80.80.80.80.80.8

0.3

0.3

0.30 .3

0 .30 .3

0 .3

0 .30 .3

1 .01 .01 .01.01.01 .01 .01 .01.0

Boarder Cargo Weight Ratio2022/2011 HS72 Iron and Steel

3.0 ~2.0 ~ 3.01.0 ~ 2.0~ 1.0

241

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Data Collection Survey on Traffic for International Port and International Corridor in Western Africa

9-22

9.3.3 Forecast of traffic demand

(1) Forecast procedures

Future concentrated occurrence of motor traffic volume by vehicle type is obtained using

future concentrated occurrence passenger traffic by zone and future concentrated occurrence

Freight traffic, share of vehicles in current OD tables by vehicle type and conversion factors for

the number of vehicle units and for annual average day. And then, based on the forecasted

concentrated occurrence traffic volume by zone and current OD tables, future OD tables were

forecasted through the present pattern method.

(2) Results of forecast

1) Growth of traffic volume

Growth rates of concentrated occurrence traffic volume by vehicle type and by country are

shown in the figures below.

Growth rate of passenger cars is the highest in Burkina Faso and the lowest in Ghana.

Average growth rate in the 8 target countries is 1.92 times (see Figure 9-30).

Growth rate of buses is the highest in Niger and the lowest in Ghana. Average growth rate in

the 8 target countries is 1.98 times (see Figure 9-31).

Growth rate of small-sized freight trucks is the highest in Burkina Faso and the lowest in

Cote d’Ivoire. Average growth rate in the 8 target countries is 1.65 times (see Figure 9-32).

Growth rate of large-sized freight trucks is the highest in Senegal and the lowest in Cote

d’Ivoire. Average growth rate in 8 target countries is 1.57 times (see Figure 9-33).

Growth rate of all vehicles is the highest in Niger and the lowest in Cote d’Ivoire. Average

growth rate in 8 target countries is 1.82 times (see Figure 9-34).

Figure 9‐30 Growth rate of traffic volume (Passenger Cars) by country (2022/2011) 

1.97

2.152.22

2.08

1.57 1.55

1.861.97 1.92

0.0

0.5

1.0

1.5

2.0

2.5

Senegal Mali BurkinaFaso

Niger Coted'Ivoire

Ghana Togo Benin average

242

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Data Collection Survey on Traffic for International Port and International Corridor in Western Africa

9-23

Figure 9‐31 Growth rate of traffic volume (Bus) by country (2022/2011) 

Figure 9‐32 Growth rate of traffic volume (Light trucks) by country (2022/2011) 

2.202.04

2.222.34

1.631.55

1.862.00 1.98

0.0

0.5

1.0

1.5

2.0

2.5

Senegal Mali BurkinaFaso

Niger Coted'Ivoire

Ghana Togo Benin average

1.701.53

2.061.90

1.21

1.55 1.51

1.721.65

0.0

0.5

1.0

1.5

2.0

2.5

Senegal Mali BurkinaFaso

Niger Coted'Ivoire

Ghana Togo Benin average

243

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Data Collection Survey on Traffic for International Port and International Corridor in Western Africa

9-24

Figure 9‐33 Growth rate of traffic volume (Heavy trucks) by country (2022/2011) 

Figure 9‐34 Growth rate of traffic volume (All Vehicles) by country (2022/2011) 

1.76 1.73 1.67 1.72

1.26

1.52

1.37

1.56 1.57

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

1.6

1.8

2.0

Senegal Mali BurkinaFaso

Niger Coted'Ivoire

Ghana Togo Benin average

1.811.89

2.01 2.04

1.51 1.54

1.811.95

1.82

0.0

0.5

1.0

1.5

2.0

2.5

Senegal Mali BurkinaFaso

Niger Coted'Ivoire

Ghana Togo Benin average

244

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Data Collection Survey on Traffic for International Port and International Corridor in Western Africa

9-25

2) OD traffic volume

Flow map indicating the number of vehicles (2022) and growth rate (2022/2011) by vehicle

type are shown in Figures from 9-35 to 9-44. Major characteristics found in flow by vehicle

type are shown below (see Table 9-7).

Future cross-border traffic demand for all vehicles (2022) obtained based on demands for

passengers and freight will be 27,330 veh./day, which represents about 1.8 times the current

figure. In the subject area, it is expected landlocked countries’ populations will grow as well

and imports/exports will increase as the economies expand. As a result, the growth rate of

traffic between landlocked countries and coastal countries will be higher.

Table 9‐6 Future road traffic demand 

 From landlocked countries to 

coastal countries 

Between landlocked countries 

Between coastal countries 

Others  Total 

Present  4,720  341 9,980 177  15,218

Future (2022)  9,217  802 17,009 302  27,330

Increased volume  4,497  461 7,028 125  12,112

Rate of increase  2.0  2.4 1.7 1.7  1.8

1)  There are 3 landlocked countries. They are Mali, Burkina Faso and Niger (OD zone: 2‐7). 

2)  The coastal countries include the Gulf of Guinea countries, which are Senegal, Nigeria and other countries in between   

  (OD zone: 1, 8‐17 and 21‐27). 

Source: JICA survey team 

 

 

Table 9‐7 Characteristics of traffic flow by vehicle type in 8 target countries 

  Characteristics 

Passenger car  Traffic  volume  is  the  largest  between  southern  Togo  and  southern Benin and between southern Cote d’Ivoire and southern Ghana. 

Growth rate is higher for flow in relation to inland countries. 

Bus  Traffic  volume  is  the  largest  between  southern  Togo  and  southern Benin, while it is more widely distributed than flow of passenger cars. 

Growth rate is higher for flow in relation to inland countries. 

Small‐sized   

freight truck 

Traffic volume is larger between southern areas of coastal countries. 

It  is  larger  between  eastern Niger  and Nigeria  and  between western Niger and northern Benin.   

Growth rate is higher for flow in relation to eastern Burkina Faso. 

Large‐sized   

freight trucks 

Traffic  volume  is  the  largest  for  flow  between  Mali  and  Senegal followed by flow between southern Ghana and southern Togo. 

Growth rate is higher for flow in relation to eastern Burkina Faso. 

All vehicle types  Traffic  volume  is  the  largest  for  flow  between  southern  Togo  and southern Benin,  followed by  flow between southern Cote d’Ivoire and southern Ghana. 

Growth rate is higher for flow in relation to inland countries. Source: JICA survey team 

245

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9-26

Figure 9‐35 Flow of future (2022) traffic demand (All vehicles: Veh./day) 

Figure 9‐36 Growth of passenger car traffic demand (2022/2011) 

Source: JICA survey team 

 

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

000000000

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

373373373373373373373373373

121212121212121212

226

226

226

226

226

226

226

226

226

109

109

10910

910910

910

9109109

151515151515151515

191191191191191191191191191

444 44 4

4444

444444

44

1010101 01 01010101 0

111111111111111111

20020020020020020020020

0200

17171717

1717171717

6 16 16 161

6161616161

87

87

8 787

8787

87

8 787

70

70

70 70

7070

70

70

70

5 55 55 555555 55 55 555

313131

3131

313131

31

616161616161616161

37

37

3737

3737

37

3737

56

56

5656

5656

56

56

56

225

225

225

225

225

225

225

225

225

1927

1927

1927

1927

1927

1927

1927

1927

1927

15 2815 2815 28152815281 5281 5281 5281528

56565656

5656

56565626262626262 62 62626

140

140

140

140

140

140

140

140

140

16161616

1616

1 61 616

232323232323232323

439343934393439343934393439343934393 797979797979797979

595959595959595959

454545454545454545

601601601601601601601601601

242242242242242242242242242

7507

7507

7507

7507

7507

7507

7507

7507

7507

13313313

3133133133133133133

Boarder Passenger Car Volume2022 (veh/day)AADT

5000 ~ 4000 ~ 50003000 ~ 40002000 ~ 30001000 ~ 2000500 ~ 100010 ~ 500

Total Volume* : 20266

notice : Do not show less than 10

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

2.12.12.12.12.12.12.12.12.1

1. 71. 71. 71.71.71.71.71.71.7

1.81.81.81.81.81.81.81.81.8

1.8

1.8

1.81.8

1.81.8

1.8

1.81.8

2.52.52.52.52.52.52.52.52.5

2 .42 .42 .42.42.42 .42 .42 .42.4

1.9

1.9

1.9

1. 91. 9

1. 9

1. 9

1. 9

1. 9

2.22.22.22 .22 .22. 22. 22. 22 .2

1 .8

1 .8

1.81.8

1.81.8

1.8

1.81.8

2 .52 .52 .52 .52 .52.52.52.52 .5

2. 02.0

2. 02.02.02.0

2.0

2.02.0

2.1

2 .1

2 .1

2.1

2.1

2.1

2.1

2.1

2.1

2.0

2.0

2.02. 0

2. 02.0

2.0

2.02. 0

2.0

2.0

2.0 2.0

2.02.0

2.0

2.0

2.0

2 .22.2

2.2

2. 22. 2

2 . 22. 2

2. 2

2. 2

2.1

2.1

2.1

2.1

2.1

2. 1

2. 1

2. 1

2.1

2.2

2.22.2

2.2

2.2

2.2

2.22.2

2.22.1

2.1

2.12.1

2.12.1

2.1

2.12.1

2.1

2.1

2.12.1

2.12.1

2. 1

2. 12.1

2. 1

2. 1

2. 12.1

2.12.1

2.1

2.1

2.1

2.1

2.1

2.12. 1

2. 12.1

2.1

2.12. 1

2.1

2.1

2.1 2.1

2.1 2.1

2.1

2.12.1

2.2

2.2

2.2 2.2

2.2 2.2

2.2

2.2

2.2

2.02.02.02.02.02 .02 .02 .02.0

2 .1

2 .1

2 .12 .1

2 .12 .1

2 .1

2 .12 .1

2.1

2.12.12.1

2.12 .1

2 .12 .12.1

2 .1

2 .1

2 .12 .1

2 .12.1

2.1

2.12 .1

2.3

2.3

2.32.3

2.32 .3

2 .3

2 .3

2.3

1.71.71.71.71.71.71.71.71.71.71.7

1.71.7

1.71. 71.7

1. 71.7

1.51.51.51.51.51.51.51.51.5 1.71.71.71.71.71.71.71.71.7

1.81.81.81.81.81.81.81.81.8

1.71.71.71.71.71.71.71.71.7

1.71.71.71.71.71.71.71.71.7

1.61.61.61.61.61.61.61.61.6

1.9

1.9

1.91 .9

1 .91 .9

1 .9

1 .91 .9

1.81.81.81 .81 .81 .81 .81 .81 .8

1.91.91.91.91.91.91.91 .91.9

Boarder Passenger Car Volume Ratio2022 / 2011

3.0 ~2.0 ~ 3.01.0 ~ 2.0~ 1.0

246

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9-27

Figure 9‐37 Flow of future (2022) traffic demand (Bus: Veh./day)

Figure 9‐38 Growth of Bus traffic demand (2022/2011)

Source: JICA survey team 

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

2.12.12.12.12.12.12.12.12.1

2.72.72.72.72.72.72.72.72.7

1. 81. 81. 81.81.81.81.81.81.8

1.81.81.81.81.81.81.81.81.8

2.0

2.0

2.02.0

2.02.0

2.0

2.02.0

2 .42 .42.42.42.42.42.42.42.4

2.32.32.32.32.32.32.32.32.3

1 .81 .81 .81. 81. 81. 81. 81. 81. 8

1.81.81.81.81.81.81.81.81.8

2.12.12.12 .12 .12. 12. 12. 12 .1

2 .02 .02 .02.02.02.02.02.02.0

2 .52 .52 .52 .52 .52.52.52.52 .5

2 .1

2 .12 .12.1

2.12.1

2.12.12.1

2 .1

2 .1

2 .12.1

2.12 .1

2 .1

2 .1

2.1

2.1

2.1

2.1 2.1

2.12 .1

2 .1

2 .1

2.1

2 .32 .32 .32. 32. 32 . 32 . 32 . 32. 3

2.22.22.22.22.22. 22. 22. 22.2

2.32.32.32.32.32.32.32.32.3

2.1

2.1

2.12.1

2.12.1

2.1

2.1

2.1

2 .02.02.02.0

2.02. 02. 02. 02.0

2 .02 .02 .02.02.02.02.02.02.0 2.2

2.2

2.22.2

2.22.2

2.2

2.2

2.2

2 .1

2 .1

2 .1

2.1

2.1

2.1

2.1

2.1

2.1

2.0

2.0

2.0 2.0

2.0 2.0

2.0

2.0

2.0

2.2

2.2

2.2 2.2

2.2 2.2

2.2

2.2

2.2

2.02.02.02.02.02 .02 .02 .02.01.81.81.81.81.81.81.81.81.8

2.12 .12 .12 .1

2 .12.12.12.12 .1

2.22.2

2.22.22.22 .22 .2

2 .22.2

2 .3

2 .3

2 .32 .3

2 .32.3

2.3

2.3

2 .3

1.71.71.71.71.71.71.71.71.7

1.61.61.61.61.61.61.61.61.6

1.51.51.51.51.51.51.51.51.5 1.71.71.71.71.71.71.71.71.7

1.81.81.81.81.81.81.81.81.8

1 .71.71.71 .71.71.71.71.71.7

1.71.71.71.71.71.71.71.71.7

1 .61 .61 .61.61.61.61.61.61.6

1.91.91.91.9

1 .91.91 .91 .91 .9

1.71.71.71 .71 .71 .71 .71 .71 .71.91.91.91.91.91.91.91.91.9

Boarder Bus Volume Ratio2022 / 2011

3.0 ~2.0 ~ 3.01.0 ~ 2.0~ 1.0

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

124

124

124

124

124

1 24

1 24

1 24

124

1881881881881881 881 881 88188

000000000

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

373737373737373737

888888888

202020202020202020

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606060606060606060

181818181818181818

7 77 77 7777777777777

1919191 91 91919191 9

202020202020202020

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7 37 37 373

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3 13 13 131

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3 13 131313131 31

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3 13 131

4 54 54 545454 54 54 545

181818181818181818

55555555

5555

555555

575757575757575757

1 61 61 616

1616161616 1111111

1111

1111111

5 65 65 656

56 56565656

101010 10

10 10

101010

26

26

26 26

26 26

26

26

26

36363636363 63 63 636999999999

15151515151515151528282828

28282 82 828

999 99 9999

555555555

888888888

606060606060606060 505050505050505050

626262626262626262

383838383838383838

676767676767676767323232323232323232

176176176176176176176176176

299

299

299299

299299

299

299

299

151515151515151515919191919191919191

Boarder Bus Volume2022 (veh/day)AADT

200 ~ 160 ~ 200120 ~ 16080 ~ 12040 ~ 8020 ~ 402 ~ 20

Total Volume* : 2337

notice : Do not show less than 5

247

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Data Collection Survey on Traffic for International Port and International Corridor in Western Africa

9-28

Figure 9‐39 Flow of Future (2022) traffic demand (Light truck: Veh./day) 

Figure 9‐40 Growth of Light truck traffic demand (2022/2011)

Source: JICA survey team 

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

000000000

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

141414141414141414

666666666

444444444

111111111

111111111

111111111

999999999

444 444444222 222222

999999999

22222 2222

111111111

207

207

207

207

207

207

207

207

207

12

12

1212

12 12

12

1212

111 111111

111111111

314

314

31 4314

314314

314

31 4

314

222222222

111111111

333333333

919191919191919191

999999999

131313131313131313

107107107107107107107107107

208208208208208208208208208

44444444418

18

1818

1818

18

1818

113

113

113

113

113

113

113

113

113

888888888

222222222

777777777 27272727

27272 72 727

222222222

222222222

111111111

555555555

Boarder Light Truck Volume2022 (veh/day)AADT

200 ~ 160 ~ 200120 ~ 16080 ~ 12040 ~ 8020 ~ 402 ~ 20

Total Volume* : 1472

notice : Do not show less than 1

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

1.51.51.51.51.51.51.51.51.5

1.81.81.8

1.81.8

1.81.81.8

1.8

1.3

1.3

1.31.3

1.31.3

1.3

1.31.3

2.02.02.02.02.02.02.02.02.0

2.02.02.02.02.02.02.02.02.0

1.01.01.01.01.01 .01 .01 .01.0

1 .81 .81 .81 .81 .81.81.81.81 .8

1.7

1.7

1.71. 7

1. 71.7

1.7

1.71. 7

2.0

2.0

2.0 2.0

2.02.0

2.0

2.0

2.0

2.5

2.52.5

2.5

2.5

2.5

2.52.5

2.5

3.0

3.0

3.0

3.03.0

3. 0

3. 0

3. 0

3.0

1 .0

1.0

1.01.0

1.01.0

1.0

1.01.0

2.0

2.0

2.0 2.0

2.0 2.0

2.0

2.02.0

1 .7

1.7

1.71.7

1. 71.7

1.7

1.71. 7

2.0

2.0

2.0

2.0

2.0

2.0

2.0

2.0

2.0

1.0

1.0

1.01 .0

1 .01 .0

1 .0

1 .0

1 .0

1.8

1.8

1.81.8

1.81. 8

1. 8

1. 8

1.8

1.5

1.5

1.51.5

1.51 .5

1 .5

1.51.5

0.70.70.70.70.70.70.70.70.7

1.51.51.51.51.51.51.51.51.51.01.0

1.01.0

1.01. 01.0

1. 01.0

1.01.01.01.01.01.01.01.01.0

1.81.81.81.81.81.81.81.81.8

1.61.61.61.61.61.61.61.61.6

1 .51 .51 .51 .51 .51.51.51.51 .5

1.61.61.61.61.61.61.61.61.6 1.71.71.71.71.71.71.71.71.7

1. 6

1. 6

1. 61.6

1.61.6

1.6

1.6

1.6

1.8

1.8

1.81 .8

1 .81 .8

1 .8

1 .81 .8

1 .61.61.61.61.61.61.61.61.6

1.51.51.51.51.51.51.51.51.51.41.41.41 .41 .41 .41 .41 .41 .4 1.61.61.61.61.61 .61 .61 .61.6

2.02.02.02.02.02.02.02.02.0

1.5

1.5

1.51.5

1.51.5

1.5

1.51.5

2.02.02.02.02.02.02.02.02.01.31.31.31.31.31.31.31.31.3

Boarder Light Truck Volume Ratio2022 / 2011

3.0 ~2.0 ~ 3.01.0 ~ 2.0~ 1.0

248

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Data Collection Survey on Traffic for International Port and International Corridor in Western Africa

9-29

Figure 9‐41 Flow of Future (2022) traffic demand (Heavy truck: Veh./day) 

Figure 9‐42 Growth of Heavy truck traffic demand (2022/2011)

Source: JICA survey team

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

000000000

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

533533533533533533533533533161616161616161616

474747474747474747

595959595959595959

111111111111111111

888888888

666666666

393939393939393939

434 34 3

4343

434343

43

222222222222222222

1111111 11 11111111 1

222222222222222222

373737373737373737

101010

1010

101010

10

18181818

1818181818

121212121212121212

787878787878787878

125

125

125

125

125

125

125

125

125

111111111111111111

131313131313131313

999999999

24

2 42 424

2424

242424

666 66666676

76

76 76

7676

76

76

76

777777777

181818181818181818

11

11

1111

1 111

11

1 111

242424242424242424

20

20

2020

2020

20

2020

939393

939 3

939393

93

88888888813

13

13 13

1313

13

1313

666666666

98

98

9898

98 98

98

9898

555 55 5555

777777777

1515

1515151515

1515

54

5454

5454

54

5454

54

666666666

27272727

2727

272727

39

39

3939

3939

39

39

39

114

114

114

114

114

114

114

1 14

114

101010101010101010

787878787878787878

539539539539539539539539539

26262626

2626

262626

Boarder Heavy Truck Volume2022 (veh/day)AADT

500 ~ 400 ~ 500300 ~ 400200 ~ 300100 ~ 20050 ~ 1005 ~ 50

Total Volume* : 3227

notice : Do not show less than 5

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

2.12.12.12.12.12.12.12.12.12.32.32.32.32.32.32.32.32.3

1.81.81.8

1.81.8

1.81.81.8

1.8

1.7

1.7

1.71.7

1.71.7

1.7

1.71.7

1 .41 .41 .41 .41 .41.41.41.41 .4

1.61.61.61.61.61.61.61.61.6

1.51.51.51.51.51.51.51.51.5

1 .81 .81 .81.81.81 .81 .81 .81.8

0.7

0.7

0.7

0. 70. 7

0. 7

0. 7

0. 7

0. 7

1.51.51.51.51.51.51.51.51.5

1.11.11.11 .11 .11. 11. 11. 11 .1

2.12.12.12.12.12.12.12.12.1

2 .02 .02 .02.02.02.02.02.02.0

1. 4

1. 4

1. 4

1. 41. 4

1.4

1.4

1.4

1. 4

1.51.51.51.51.51. 51. 51.51.5

1.41.41.41.41.41.41.41.41.4

1.51.51.51.51.51.51.51.51.5

2.02.02.0

2.02.0

2.02.02.0

2.0

1.41.41.41.41.41. 41. 41. 41.4

2 .02 .02 .02 .02 .02.02.02.02 .0

1.81.81.81.81.81 .81 .81 .81.8

0.9

0 .9

0 .9

0.9

0.9

0.9

0.9

0.9

0.9

1.8

1.8

1.81. 8

1. 81.8

1.8

1.81. 8

1.8

1.8

1.8 1.8

1.81.8

1.8

1.8

1.8

1.4

1.4

1.4

1.4

1.4

1. 4

1. 4

1. 4

1.4

2.7

2.72.7

2.7

2.7

2.7

2.72.7

2.7

2.02.02.02.02.02.02.02.02.0

1.8

1. 8

1.8

1. 8

1 .8

1.8

1.8

1 .8

1. 8

1.71.71.71.71.71.71.71.71.7

2.6

2. 6

2. 62. 6

2. 62. 6

2. 6

2. 62. 6

1.9

1.9

1.9

1.91.9

1. 9

1. 9

1. 9

1.9

1 .81 .81 .81.81.81 .81 .81 .81.8

2.6

2.6

2.6 2.6

2.62.6

2.6

2.62.6

2.0

2 .02 .02.02.0

2.0

2.02.02.0

1.4

1.4

1.41. 4

1. 41.4

1.4

1.41. 4

2.0

2.0

2.0 2.0

2.0 2.0

2.0

2.02.0

1. 8

1. 8

1. 81. 8

1. 81.8

1.8

1.81. 8

1.9

1.9

1.9

1.9

1.9

1.9

1.9

1.9

1.9

1.5

1.5

1.51 .5

1 .51 .5

1 .5

1 .5

1 .5

1 .3

1 .3

1 .31 .3

1 .31 .3

1 .3

1 .31 .3

1.8

1.8

1.81.8

1.81. 8

1. 8

1. 8

1.8

1.7

1 .71 .71.71 .7

1.7

1.71.71 .7

1.9

1.9

1.91.9

1.91.9

1.9

1.9

1.9

0.70.70.70.70.70.70.70.70.7

1.21.21.21.21.21.21.21.21.2

1.21.21.21.21.21.21.21.21.2

1.71.71.71.71.71.71.71.71.7

1.2

1.2

1.21 .2

1 .21 .2

1 .2

1 .21 .2

Boarder Heavy Truck Volume Ratio2022 / 2011

3.0 ~2.0 ~ 3.01.0 ~ 2.0~ 1.0

249

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Data Collection Survey on Traffic for International Port and International Corridor in Western Africa

9-30

Figure 9‐43 Flow of future (2022) traffic demand (All vehicles: Veh./day) 

Figure 9‐44 Growth of All vehicles traffic demand (2022/2011) 

Source: JICA survey team 

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

NigerNigerNigerNigerNigerNigerNigerNigerNiger

NigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeriaNigeria se_africase_africase_africase_africase_africase_africase_africase_africase_africa

000000000

TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

959959959959959959959959959161616161616161616

313131313131313131

305

305

305

305

305

305

305

305

305

179

179

17917

917917

917

9179179

111111111111111111

252525252525252525

290290290290290290290290290

292929292929292929

165

165

165

165

16 5

165

165

16 5

165

494949494949494949

4141414 14 14141414 1

222222222222222222

606060606060606060

131313131313131313

101010

1010

101010

10

18181818

1818181818

121212121212121212

797979797979797979

125

125

125

125

125

125

125

125

125

121212121212121212

40840840840840840840840

8408

111111111111111111

159

1 59

1 59

15 9

159

159

159

159

159

129

129

129

129

129

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180

180

180

180

180

180

180

180

180

1 04

104

104

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104

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6666

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292929292929292929

11

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242424242424242424

21

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959595

959 5

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13

13

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65656565

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1 91 91 919

1919

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67

67

6767

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379

379

379

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2151

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15 6615 6615 66156615661 5661 5661 5661566121212121212121212

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8 4848484

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84848429292929292 92 92929

157

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157

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44444444

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363

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36 3363

363363

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31313131313131313112121212

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455645564556455645564556455645564556 129129129129129129129129129

122122122122122122122122122

161161161161161161161161161

120712071207120712071207120712071207

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107107107107107107107107107

30

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3030

3030

30

3030

7946

7946

7946

7946

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7946

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15115115

1151151151151151151

Boarder All Vehicle Volume2022 (veh/day)AADT

5000 ~ 4000 ~ 50003000 ~ 40002000 ~ 30001000 ~ 2000500 ~ 100010 ~ 500

Total Volume* : 27302

notice : Do not show less than 10

TogoTogoTogoTogoTogoTogoTogoTogoTogo

GhanaGhanaGhanaGhanaGhanaGhanaGhanaGhanaGhana

BeninBeninBeninBeninBeninBeninBeninBeninBenin

Cote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'IvoireCote d'Ivoire

n_african_african_african_african_african_african_african_african_africa

Burkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina FasoBurkina Faso

SenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegalSenegal

GuineaGuineaGuineaGuineaGuineaGuineaGuineaGuineaGuinea

MaliMaliMaliMal iMal iMaliMaliMaliMal i

nw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africanw_africa

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TemaTemaTemaTemaTemaTemaTemaTemaTema

LomeLomeLomeLomeLomeLomeLomeLomeLome

AbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjanAbdjan

DakarDakarDakarDakarDakarDakarDakarDakarDakar

CotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonouCotonou

San-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroSan-PedroTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradiTakoradi

2.12.12.12.12.12.12.12.12.12.32.32.32.32.32.32.32.32.3

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1.91.91.91.91.91.91.91.91.9

Boarder All Vehicle Volume Ratio2022 / 2011

3.0 ~2.0 ~ 3.01.0 ~ 2.0~ 1.0

250

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Data Collection Survey on Traffic for International Port and International Corridor in Western Africa

9-31

9.3.4 Road Traffic Assignment

From the results of a process of traffic assignment among the UEMOA corridors, it is found

that, of corridors connecting landlocked countries and areas where a port is located, the

Ouagadougou-Lomé corridor will be the largest traffic volume, with 1,109 veh./day. It

represents about 1.8 times of the present figure. Following this is the Niamey-Cotonou corridor,

where the traffic will be 1,075 veh./day. In future, road traffic volume will vary depending on

the transport conditions of ports and corridors.

Future OD tables for all vehicle types (2022) prepared in 1.3.3 were allocated on future road

networks. Future traffic volume for each road route is shown in Figure 9-45 and growth of

traffic volume for each road route (2022/2011) is shown in Figure 9-46.

Sections with higher traffic volume are corridors running from east to west in southern parts

of coastal countries, with approximately 9,500 veh./day between Benin and Togo.

In inland countries, traffic volume is larger between Niger and Benin, with approximately

4,500 veh./day.

Future growth rate over the current figure is approximately 2.0 times between Mali and

Senegal and in an area near the border of Niger, Burkina Faso and Benin. In other roads

connecting coastal countries and inland countries, growth rate is mostly over 1.8 times,

indicating traffic on roads in relation to inland countries will have a higher growth rate.

251

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Data Collection Survey on Traffic for International Port and International Corridor in Western Africa

9-32

   

 

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Source:JICA Study team

 

252

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Data Collection Survey on Traffic for International Port and International Corridor in Western Africa

9-33

Figure 9‐46 Growth of Traffic Volume by Road

 Route (All Veh

icles) (2022/2011) 

Source: JICA Study team

 

582582582 582582582582582582

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~ 1

.5~

1.0

253

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254

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Data Collection Survey on Traffic for International Port and International Corridor in Western Africa

10-1

Chapter 10 ISSUES AND DIRECTION FOR PROMOTION OF IMPROVEMENT OF INTERNATIONAL CORRIDOR

This study has revealed the current state of the cross-border traffic in the study area. The

analysis of the findings of the study has confirmed a large movement of people and goods

between the densely populated coastal countries where geographic distances between major

cities are small.

Meanwhile, the Study Team has been able to confirm that most of the transport to and from

the three landlocked countries is with the countries with trading ports. The study has found a

characteristic that Lomé port Cotonou port which have limited volume of import and export

freight transport to and from them, in particular, handle a large portion of transit freight to and

from the landlocked countries. The study has also found that ca. half of the traffic volume on

the international corridors is that of large trucks and that the volumes of the transit freight and

the freight traded within the study area on the corridors are approximately the same.

The above-mentioned study results have proven the indispensability of the road infrastructure

which forms the international corridors as basic infrastructure which supports movement within

the area and composes part of the framework of the area. The landlocked countries which have

to import the majority of everyday goods can emphasize the importance of the international

corridors as major transport infrastructure, because they are the trading routes to the trading

ports and gateways to foreign countries, on which economic activities and development in the

countries depend. If the political and economic stability of the countries in the area is

maintained in future, the volume of traffic between the landlocked and coastal countries is

expected to double in the next ten years. As a consequence, the importance of the road

infrastructure is expected to increase further. The following summarizes the tasks for the

development of the study area and the improvement of the transport infrastructure.

10.1 Importance of the International Corridors in the Social Development

(1) Promotion of the Integrated Improvement in the West Africa

The study results have revealed that the international corridors support transport of people

and goods not only within countries in which a corridor exists but also over a wider area.

Therefore, an integrated approach to their improvement and maintenance will have to be taken

by all the countries in the area. The practical issue of the highest priority is finding a guaranteed

source of funding, which requires reform of the existing UEMOA Fund for appropriate sharing

of financing among the member countries and the increase in the amount of the fund.

255

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10-2

(2) Increasing the Impact of the Synergy between the Landlocked and Coastal

Countries

Integrated development of this area requires the viewpoint that the three economically

advanced countries (Cote d’Ivoire, Ghana and Senegal) with strong economies help the other

countries in the area, including the three landlocked countries, in their economic development.

Therefore, there is a need for the implementation of economic and industrial policies and

regional development projects that strengthen mutually complementary relationships between

the landlocked and coastal countries, in addition to the improvement of the international

corridors.

10.2 Issues for Transport Infrastructure and Direction for Future Improvement (1) Road Network

The UEMOA corridors are positioned as a critical infrastructure to support not only transit

transport in landlocked countries but also exchanges and trades between landlocked countries

and coastal countries. At present, the UEMOA Corridors which connect the landlocked

countries and the coastal countries are the only major highways connecting the countries in the

area.

There are a number of poorly maintained sections along the corridors in landlocked areas of

coastal countries as well as cross-border areas, which is a bottleneck for logistics. Meanwhile,

the projection of the traffic demand suggests that two-lane roads will meet the demand for the

next ten years with the exception of urban areas.

Therefore, the cross section of the UEMOA standard two-lane road shall be used as the basic

road cross section in the future road construction and the pavement and bridges shall have to

have sufficient durability to withstand the expected increase in the traffic of heavy trucks. It is

extremely important to continue appropriate maintenance of the roads to ensure that they serve

the function of permanent physical distribution routes.

Measures to increase traffic capacity of certain sections of roads, such as construction of

bypasses, passing lanes and climbing lanes, shall be taken where such measures are required.

Sufficient right of way shall be reserved beside the roads so that appropriate measures can be

taken when the traffic demand has increased.

If the criterion that the importance of a corridor correlates with the volume of transit freight

transport on it is used, the priorities of the followings are high: Ouagadougou - Lomé and

Niamey - Cotonou Corridors with the long stretches of unpaved sections and serious

degradation of the pavement.

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10-3

(2) Railroad Network

Although some of railroads have been in operation, there are issues such as degraded

infrastructure and poor transport capacity. When compared with road transport, railroad

transport has advantages including lower costs and higher safety. Since it is expected, however,

reasonable costs will be necessary to develop new and rehabilitate old railroad facilities, it is

needed to work on railroad development from the mid to long perspective, while promoting

demands for freight transport.

(3) Ports

Ports play a role of core economic activities in landlocked countries as an import/export

gateway to those countries. As it is expected that demands will increase in the future, each port

is promoting its modernization efforts and expansion programs.

In transit freight transport to and from landlocked countries, considerations to realize smooth

access from ports to international corridors are required when developing infrastructure. In

relation to this, reviews should be made to install dry ports for more efficient customs clearance

processes.

(4) Soft Infrastructure

Transport is unable to be efficient, since there are hindrances such as troublesome procedures

at the port or border, the issue of customs clearance escort and a number of checkpoints along

the corridors. It is significant to create an environment that can meet needs of road users who

want lower transport costs and shorter travel time.

(5) Promotion of the Creation of the Basic Data of Infrastructure

Measures are required for elucidating the current conditions in the area accurately and

identifying problems and tasks to be tackled. Such measures include regular implementation of

both inventory surveys of transport infrastructure and traffic flow surveys, whose results are to

be used for the formulation of effective programs and the maintenance of the infrastructure. The

Study Team is convinced that the results of this study will help implement these measures.

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P-1

Appendix

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P-2

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P-3

Appendix 1

Traffic Survey Sheet

261

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P-4

<Traffic Count Survey Sheet> 

Survey Date DirectionFrom To

Survey Point Name

Surveyor Checker

Supervisor Encoder

From To

6:00 7:00

7:00 8:00

8:00 9:00

9:00 10:00

10:00 11:00

11:00 12:00

12:00 13:00

13:00 14:00

14:00 15:00

15:00 16:00

16:00 17:00

17:00 18:00

18:00 19:00

19:00 20:00

20:00 21:00

21:00 22:00

22:00 23:00

23:00 0:00

0:00 1:00

1:00 2:00

2:00 3:00

3:00 4:00

4:00 5:00

5:00 6:00

Time Type of VehicleEvent/Accident

Traffic VolumeCount Survey

Passenger Car Bus Light TruckTruck

&TrailerContainer

truck

Data Collection Survey on Traffic for International port and international corridor

in Western Africa

YACHIYO Eng. Corp.INGEROSEC Corp.

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P-5

<Road Side Origin Destination Survey Sheet> 

Survey Date Direction From To

Survey Point Name

Surveyor Checker

Supervisor Encoder

5. Container truck 5. Container truck 5. Container truck 5. Container truck

(City)

(Department)

(Region)

(Country)

(City)

(Department)

(Region)

(Country)

1. To work 1. To work 1. To work 1. To work

2. To school 2. To school 2. To school 2. To school

3. Business 3. Business 3. Business 3. Business

4. Private 4. Private 4. Private 4. Private

5. To home 5. To home 5. To home 5. To home

6. Tourism 6. Tourism 6. Tourism 6. Tourism

7. Others 7. Others 7. Others 7. Others

8. Number of

Passengers

(Incl.Driver)

The following question is for "c. Light Truck", "d. Truck&Trailer", "e. Container truck"

8. Type of Goods 1. Agricultural product 1. Agricultural product 1. Agricultural product 1. Agricultural product

2. Construction material 2. Construction material 2. Construction material 2. Construction material

3. Petroleum product 3. Petroleum product 3. Petroleum product 3. Petroleum product

4. Domestic animal 4. Domestic animal 4. Domestic animal 4. Domestic animal

5. Consumption goods 5. Consumption goods 5. Consumption goods 5. Consumption goods

6. Others 6. Others 6. Others 6. Others

9. Load Actual load Actual load Actual load Actual load

(ton,litre) (ton,litre) (ton,litre) (ton,litre)

Maximum load capacity Maximum load capacity Maximum load capacity Maximum load capacity

(ton,litre) (ton,litre) (ton,litre) (ton,litre)

4. Truck&Trailer

4. Origin of Trip

5. Destination

7. Trip Purpose

4. Truck&Trailer

2. Bus 2. Bus 2. Bus 2. Bus

3. Light Truck 3. Light Truck 3. Light Truck 3. Light Truck

4. Truck&Trailer

3.Vehicle Type1. Passenger Car 1. Passenger Car 1. Passenger Car 1. Passenger Car

4. Truck&Trailer

2.Survey Time : : : :

Roadside OD Interview Survey

Data Collection Survey on Traffic for International port and international corridor

in Western Africa

YACHIYO Eng. Corp.INGEROSEC Corp.

1.No. of car

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<Logistic facilities Origin Destination Survey Sheet> 

Survey Date Direction From To

Survey Point Name

Surveyor Checker

Supervisor Encoder

3. Container truck 3. Container truck 3. Container truck 3. Container truck

4 (a).

Origin Port

Trip Mode to port

4 (b).

Destination Port

(City)(Department)(Region)(Country)

(City)(Department)(Region)(Country)

7. Type of Goods 1. Agricultural product 1. Agricultural product 1. Agricultural product 1. Agricultural product2. Construction material 2. Construction material 2. Construction material 2. Construction material3. Petroleum product 3. Petroleum product 3. Petroleum product 3. Petroleum product4. Domestic animal 4. Domestic animal 4. Domestic animal 4. Domestic animal5. Consumption goods 5. Consumption goods 5. Consumption goods 5. Consumption goods6. Others 6. Others 6. Others 6. Others

8. Load Actual load Actual load Actual load Actual load

(ton,litre) (ton,litre) (ton,litre) (ton,litre)Maximum load capacity Maximum load capacity Maximum load capacity Maximum load capacity

(ton,litre) (ton,litre) (ton,litre) (ton,litre)

2 Truck&Trailer

1. Light Truck

: : ::

1. Light Truck

YACHIYO Eng. Corp.INGEROSEC Corp.

6. Destination

3.Vehicle Type 1. Light Truck

2 Truck&Trailer

1. Light Truck

Trip Mode to trip destination

5. Origin of Trip

2 Truck&Trailer 2 Truck&Trailer

OD Interview Survey in Port

1.No. of car

2.Survey Time

Data Collection Survey on Traffic for International port and international corridor

in Western Africa

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Appendix 2

OD Table (OD Matrix)

265

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and International Corridor in Western Africa

P-8

 

<List of OD table> 

 

No year type Unit Contents

1 All  vehicletype OD table

2 Passengercar OD table

3 Bus  ODtable

4 Light truck OD table

5 Heavy truck OD table

6 Passengers  OD ’000people /year Passenger OD table

7 Freight weight OD table (Total  of all  goods)

8 HS25:Cement; Salt & Sulphur

9 HS27:Mineral  Fuels & Oils

10 HS10:Cereals

11 HS23:Residues  from the Food Industries

12 HS72:Iron and Steel

13 HS31:Ferti l izers

14 HS17:Sugars  and Sugar Confectionery

15 HS 7:Edible Vegetables

16 HS52:Cotton

17 HS12:Oil  Seeds  and Oleaginous  Fruits

18 All  vehicletype ODtable

19 Passengercar OD table

20 Bus  ODtable

21 Light truck OD table

22 Heavy truck OD table

23 Passengers  OD ’000people /year Passenger OD table

24 Freight weight OD table (Total  of all  goods)

25 HS25:Cement; Salt & Sulphur

26 HS27:Mineral  Fuels & Oils

27 HS10:Cereals

28 HS23:Residues  from the Food Industries

29 HS72:Iron and Steel

30 HS31:Ferti l izers

31 HS17:Sugars  and Sugar Confectionery

32 HS 7:Edible Vegetables

33 HS52:Cotton

34 HS12:Oil  Seeds  and Oleaginous  Fruits

’000ton/year

’000ton/year

Vehicle OD(AADT)

Vehicle OD

veh./day

veh./day

2022

2011

Freight OD

Freight OD

266

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<Z1 

10 

11 

12 

13 

14 

15 

Zone CodeSenegal 

Mali(North

Mali(South

Burkina Fa

Burkina Fa

Niger(Niam

Niger(othe

Cote d'Ivo

Cote d'Ivo

Ghana(No

Ghana(Sou

Togo(Nort

Togo(Sour

Benin(Nor

Benin(Sou

e and Map

h) 

h) 

aso(East) 

aso(West) 

mey region) 

er) 

ire(North) 

ire(South) 

rth) 

urth) 

th) 

rth) 

rth) 

rth) 

p> 

Data Collec a

P-9

16  N

17  G

18  N

19  N

20  E

21  P

22  P

23  P

24  P

25  P

26  P

27  P

99  O

ction Survey oand Internatio

Nigeria 

Guinea coast

North west a

North african

East,Central,S

Port Dakar 

Port Abidjan 

Port Tema 

Port Takorad

Port Lome 

Port Cotonou

Port San‐Ped

Overseas 

on Traffic foronal Corrido

frica 

South Africa 

 

ro 

r Internationaor in Western

al Port Africa

267

Page 48: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-10

1 2011 Vehicle OD veh./day All vehicle type

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Page 49: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-11

2 2011 Vehicle OD veh./day Passenger car

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Page 50: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-12

3 2011 Vehicle OD veh./day Bus

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Page 51: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-13

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Page 52: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-14

5 2011 Vehicle OD veh./day Heavy truck

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34

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Page 53: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-15

6 2011 Passengers OD ’000people /year Passenger

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56

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910

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Page 54: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-16

7 2011 Freight OD ’000ton/year Total of all goods

12

34

56

78

910

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Page 55: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-17

8 2011 Freight OD ’000ton/year HS25:Cement; Salt & Sulphur

12

34

56

78

910

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Page 56: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-18

9 2011 Freight OD ’000ton/year HS27:Mineral Fuels & Oils

12

34

56

78

910

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276

Page 57: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-19

10 2011 Freight OD ’000ton/year HS10:Cereals

12

34

56

78

910

11

12

13

14

15

16

17

18

19

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Dest

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277

Page 58: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-20

11 2011 Freight OD ’000ton/year HS23:Residues from the Food Industries

12

34

56

78

910

11

12

13

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Dest

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278

Page 59: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-21

12 2011 Freight OD ’000ton/year HS72:Iron and Steel

12

34

56

78

910

11

12

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14

15

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279

Page 60: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-22

13 2011 Freight OD ’000ton/year HS31:Fertilizers

12

34

56

78

910

11

12

13

14

15

16

17

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19

20

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1381

Dest

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ion

Origin

280

Page 61: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-23

14 2011 Freight OD ’000ton/year HS17:Sugars and Sugar Confectionery

12

34

56

78

910

11

12

13

14

15

16

17

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Page 62: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-24

15 2011 Freight OD ’000ton/year HS 7:Edible Vegetables

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Page 63: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-25

16 2011 Freight OD ’000ton/year HS52:Cotton

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Page 64: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-26

17 2011 Freight OD ’000ton/year HS12:Oil Seeds and Oleaginous Fruits

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Page 65: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-27

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Page 66: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-28

19 2022 Vehicle OD veh./day Passenger car

12

34

56

78

910

11

12

13

14

15

16

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Page 67: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-29

20 2022 Vehicle OD veh./day Bus

12

34

56

78

910

11

12

13

14

15

16

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18

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Page 68: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-30

21 2022 Vehicle OD veh./day Light truck

12

34

56

78

910

11

12

13

14

15

16

17

18

19

20

21

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Page 69: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-31

22 2022 Vehicle OD veh./day Heavy truck

12

34

56

78

910

11

12

13

14

15

16

17

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19

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289

Page 70: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-32

23 2022 Passengers OD ’000people /year Passenger OD table

12

34

56

78

910

11

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Page 71: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-33

24 2022 Freight OD ’000ton/year Total of all goods

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Page 72: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-34

25 2022 Freight OD ’000ton/year HS25:Cement; Salt & Sulphur

12

34

56

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910

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Page 73: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-35

26 2022 Freight OD ’000ton/year HS27:Mineral Fuels & Oils

12

34

56

78

910

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293

Page 74: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-36

27 2022 Freight OD ’000ton/year HS10:Cereals

12

34

56

78

910

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Dest

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294

Page 75: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-37

28 2022 Freight OD ’000ton/year HS23:Residues from the Food Industries

12

34

56

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295

Page 76: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-38

29 2022 Freight OD ’000ton/year HS72:Iron and Steel

12

34

56

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910

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296

Page 77: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-39

30 2022 Freight OD ’000ton/year HS31:Fertilizers

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34

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910

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Dest

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297

Page 78: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-40

31 2022 Freight OD ’000ton/year HS17:Sugars and Sugar Confectionery

12

34

56

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910

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Page 79: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-41

32 2022 Freight OD ’000ton/year HS 7:Edible Vegetables

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Page 80: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-42

33 2022 Freight OD ’000ton/year HS52:Cotton

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Page 81: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-43

34 2022 Freight OD ’000ton/year HS12:Oil Seeds and Oleaginous Fruits

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Page 82: Chapter 9 FUTURE TRAFFIC DEMAND FORECAST 9.1 Basic Idea ... · Assignment model Route assignment. ... Major items of goods used here are key 10 items selected when conducting analysis

Data Collection Survey on Traffic for International Port

and International Corridor in Western Africa

P-44

302