1 / 13

Passenger Transport

Passenger Transport . Angelo Martino TRT Trasporti e Territorio srl Brussels 31st January 2012. OUTLINE. Dataset Contents Main features Methodology. ETISplus DATASETS. Supporting Data. Passengers Demand. Freight-Logistics. International Freight Flows National Freight Flows

fadhila
Download Presentation

Passenger Transport

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Passenger Transport Angelo Martino TRT Trasporti e Territorio srl Brussels 31st January 2012

  2. OUTLINE • Dataset Contents • Main features • Methodology

  3. ETISplus DATASETS Supporting Data Passengers Demand Freight-Logistics • International Freight Flows • National Freight Flows • Transport logistics, inventory, containers • Socio-economic • Networks (road, rail, air, inland, maritime) • Level of Service • Transport External Impacts • Road, rail, air • Coach • Local (intrazonal)

  4. Passenger Demand - Dataset contents (1) • Origin-Destination matrices • Car - OD Trips and Vehicles matrices • Rail - OD Trips matrix • Air - OD Trips matrix • Local demand (Intra ZONE3 LEVEL trips by distance band) • Car • Bus (Local public transport) • Rail • Tram&Metro • Walking • Cycling

  5. Passenger Demand - Dataset contents (2) • Intercity coach transport • Intercity coach demand • Intercity coach supply • Summary tables • Total trips between zones per purpose/mode • Total originated/destined trips per purpose • Total originated/destined trips per mode

  6. Dataset main features (1) • 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)

  7. Dataset main features (2) • 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

  8. Methodology - CAR and RAIL (Inter zonal) • VACLAV model

  9. Methodology - AIR • VIA model

  10. Methodology - Intercity coach services • Estimation from existing supply

  11. Intercity coach services

  12. Methodology - Local (intrazonal) demand • Estimation by analytical method based on available observed data • 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

  13. Thank you for your attention martino@trt.it

More Related