R E G I O N A L W O R K S H O P O NT H E D E V E L O P M E N T O F T R A N S P R OT S TAT I S T I C S A N D T R A N S P O R T R E L AT E D S U S TA I N A B L E D E V E L O P M E N T
I N D I C ATO R S I N T H E A R A B C O U N T R I E S
Harnessing the Power of Alternative Transport Data: Data-Driven Case
Studies in the MENA Region
B E I R U T, L E B A N O N 1 6 - 1 8 S e p t e m b e r 2 0 1 9
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Mindsets is the strategy consulting arm of SETS Group. We work with decision makers to create value, uncover opportunities, manage risk, and make sound strategic decisions.
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• Strategic Management• Investment Analysis• Risk Analysis• Data to Decision• Business & Digital
Transformation
Strategic Management
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Operating Model Strategy Implementation Portfolio Prioritization
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AcquisitionsDivestitures
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1SMART Ring Road
2Beirut Transport
Improvement Plan
3Power of Transport Network
Companies Data
4Roadway Automatic Safety
Features Detection
5Mapping Cities Air Quality
1SMART Ring Road
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Cairo’s Ring Road [In Numbers]
Busiest Urban Highway in the Middle East and North Africa region.
Roughly 110 km of paved road encircling 450 km2 of Cairo, with an average width of 45 meters, and a total of 156 structures.
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Cairo’s Ring Road [Context Matters when it comes to reporting and collection of data….]
Residential Areas within ROWDirect Staircases into the Highway
Direct Staircases into the HighwayInformal Waiting AreasInformal Transit Hubs
Designated Microbus Stops
Formal Shaded Bus Stop
1
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Cairo’s Ring Road [Mapping Transport and Landuse Activities and Population Density]
Segmenting Ring Road into sections for further analysis and indicators reporting
Mapping all transport activities [driving, pedestrians, public transit, direct access, bridges, parking areas, waiting areas], landuse
and population density.
1
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Towards a S M A R T Ring Road [Safety, Mobility, Accessibility, and Reliability of Transport]
Dimen
-sion
Local
Indicators
Definition
SA
FE
TY
(S
)
Accidents/km
Total number of reported accidents in 2016-2017 normalized by length of segment.
Presence of
Pedestrian Access
Points (PAP)
Total number of observed PAP normalized by length of segment.
MO
BIL
ITY
(M
)
Average Speed
Average speed was measured from travel time data for three peaks: AM peak,
Midday and PM peak: 7-10 am, 12-3 pm and 4-7 pm respectively.
Presence of
Informal Waiting
Areas/Stops
(IWA)
Total number of observed IWA normalized by length of segment.
AC
CE
SS
IBIL
ITY
(A
)
Presence of
Informal Waiting
Areas/Stops
(IWA)
Total number of observed IWA normalized by length of segment and land-use.
Presence of Built
Stops (BS)
Total number of observed BS normalized by length of segment and land-use.
Presence of Large
Stops/Informal
Parking (LS/IP)
Total number of observed LS/IP normalized by length of segment and land-use.
Presence of
Transit Hubs
(TH)
Total number of observed TH normalized by length of segment and land-use. The
presence of transit hubs along the road adds to a more “accessible” option for public
transit users.
Presence of
Informal
Pedestrian Access
Points (PAP)
Total number of observed PAP normalized by length of segment and land-use..
RE
LIA
BIL
ITY
OF
TR
AN
SP
OR
T (
RT
)
Average Travel
Time Reliability
(Buffer Time
Index*)
According to US FHWA (Federal Highway Administration), buffer time index
represents the percentage of extra buffer time (or time cushion) that most travelers
add to their average travel time when planning trips to ensure on-time arrival. The
higher the Buffer time index the more unreliable the roadway segment is.
Presence of Built
Stops (BS)
Total number of observed BS normalized by length of segment.
Presence of
Informal Waiting
Areas/Stops
(IWA)
Total number of observed IWA normalized by length of segment.
1
1SMART Ring Road
2Beirut Transport
Improvement Plan
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Beirut Transport Improvement Plan 2
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Beirut Transport Improvement Plan [Hot Spots Identification and Immediate Interventions Schemes]
2
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Beirut Transport Improvement Plan [Hot Spots Identification and Immediate Interventions Schemes]
2
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Beirut Transport Improvement Plan [Hot Spots Identification and Immediate Interventions Schemes]
2
1SMART Ring Road
2Beirut Transport
Improvement Plan
3Power of Transport Network
Companies Data
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Transportation Network Companies – Ride Hailing Companies… 3
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Harnessing the Power of Transport Network Companies Data 3
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Harnessing the Power of Transport Network Companies Data 3
Distance Patterns – Short Trips
Fare / Distance VariationsCongestion Patterns / Times
Inter-City Patterns and MatricesIntra-City Patterns and Matrices
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Harnessing the Power of Transport Network Companies Data 4
Trips used the Ring Road – How Vital ?
Cairo OD Flows – How Vibrant ?
1SMART Ring Road
2Beirut Transport
Improvement Plan
3Power of Transport Network
Companies Data
4Roadway Automatic Safety
Features Detection
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Roadway Automatic Safety Features Detection – “environment” perspective 4
Traffic Signs Marking Curbs Barriers
Light Poles
Buildings Trees Billboards Fence
Pedestrians Cars BusesPublic
TransportationMotorcycles Heavy Vehicles
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Roadway Automatic Safety Features Detection – Mapping Roadway Classes 4
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Roadway Automatic Safety Features Detection – Annotation of Roadway Images 4
1SMART Ring Road
2Beirut Transport
Improvement Plan
3Power of Transport Network
Companies Data
4Roadway Automatic Safety
Features Detection
5Mapping Cities Air Quality
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Mapping City-Wide Air Quality is enabled by Game-Changing Sensory Technology 5
…. in relation to traffic, land-use, the built environment, and other related factors (e.g. metrology) in order to develop innovative policies and guidelines able toreduce the impact of traffic-related air pollution on health. Therefore DATA on air pollution, air quality, and traffic / human activities are needed.
New generation of small, portable, cheap air sensors could revolutionize pollutionmeasurements for citizen scientists and governments alike.
One effective way to improve public health in response to these unsustainable traffic-related pollutants is to better understand the spatialvariability of these pollutants
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Greater Cairo in the largest metropolis in the region with over 23 M people in area of ~ 1700 Km2
5
Over 3.5 Million Vehicles, 36,000 km of Paved RoadsOver 20 Million Daily Motorized Person Trips
Over 23 Million PeopleArea of 1,709 km2
51% Urban Landuse(Mixed - Mostly Residential)
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Mobile Monitoring of Black Carbon Levels and Development of Exposure Surfaces Reflecting Traffic-Related Air Pollution: The Case of Cairo
5
BC is the most strongly light-absorbing component of particulatematter (PM). BC is emitted directly into the atmosphere in theform of fine particles (PM2.5). (BC) pollution is associated withtraffic emissions.
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Mobile Monitoring of Black Carbon Levels and Development of Exposure Surfaces Reflecting Traffic-Related Air Pollution: The Case of Cairo
5
Actual Observations
Land Use Regression
Model
Predict Black Carbon on each City Cell
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Mobile Monitoring of Black Carbon Levels and Development of Exposure Surfaces Reflecting Traffic-Related Air Pollution: The Case of Cairo
5
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....... developed the first Open Data Platform in the MENA Region with the goal of advancing the concept of open data, data sharing, data standards to act as a Knowledge Platform
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