Passenger Transport

Funded by the European Commission throughthe 7th Framework Programme for Research

http//www.etisplus.eu/ET

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Passenger Transport

Angelo Martino TRT Trasporti e Territorio srl

Brussels 31st January 2012



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• Dataset Contents

• Main features

• Methodology

OUTLINE



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ETISplus DATASETS

• Socio-economic• Networks (road,

rail, air, inland, maritime)

• Level of Service• Transport

External Impacts

Supporting Data

• International Freight Flows

• National Freight Flows

• Transport logistics, inventory, containers

Freight-Logistics

• Road, rail, air • Coach • Local (intrazonal)

Passengers Demand



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g Passenger Demand - Dataset contents (1)•Origin-Destination matrices

oCar - OD Trips and Vehicles matrices oRail - OD Trips matrix oAir - OD Trips matrix

•Local demand (Intra ZONE3 LEVEL trips by distance band)oCar oBus (Local public transport)oRailoTram&MetrooWalkingoCycling



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•Intercity coach transportoIntercity coach demandoIntercity coach supply

•Summary tablesoTotal trips between zones per purpose/modeoTotal originated/destined trips per purposeoTotal originated/destined trips per mode

Passenger Demand - Dataset contents (2)



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Time horizons: 2005 and 2010

Geographical scope : EU27 + Candidate + EFTA + Neighbouring + Rest of the world (for AIR transport; intercontinental flows to/from Europe)

Zoning: ETIS zone 3 LEVEL (NUTS3 and similar)

Dataset main features (1)



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Trip purposes:• Business: Trips for working purposes with different

destination than the usual workplace• Commuting: Daily trips for working or studying purposes• Private: Non business related trips (< 4 days)• Vacation: Non-business trips (> 4 days)

Distance bands for intra zonal trips:• Trips with length <3Km• Trips with length between 3 and 25 Km• Trips with length between 25 and 50 Km• Trips with length >50 Km

Dataset main features (2)



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VACLAV modelMethodology - CAR and RAIL (Inter zonal)



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VIA modelMethodology - AIR

Distribution

Generation

Mode Choice

Route Choice

Assignment Assessment Assignment

Assessment of Matrix

Airport/Route Choice Assessment

Assessment Mode Choice

Assessment Base Statistics

Matrix Bounding

Check Input / Model Results

Assessment Statistics



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Estimation from existing supply

Methodology - Intercity coach services



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g Intercity coach services



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g Methodology - Local (intrazonal) demand

• Identification of distance bands belonging to each ETIS zone• Estimation of trip shares by distance band per mode at national level• Estimation of average trip length by distance band per mode at

national level• Differentiation of mode shares per zone (high densely populated

zones have a higher share of public transport)• Distribution by trip purposes at zone level

Estimation by analytical method based on available observed data



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Thank you for your attention

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Passenger Transport

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