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Assessing the impact of different policy decisions on the resource requirements of a Demand Responsive Transport system for persons with disabilities

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  • Neven, An
  • Braekers, Kris
  • Declercq, Katrien
  • Wets, Geert
  • Janssens, Davy
  • Bellemans, Tom

Abstract

Demand Responsive Transport (DRT) services are frequently offered in the context of door-to-door transportation of elderly and persons with disabilities (PWD), but are expensive to provide. Therefore, the present study aims to determine the impact of different policy decisions on the resource requirements of a DRT system, in terms of vehicles and drivers required and kilometers traveled. A number of policy scenarios are analyzed in the case study of Flanders for the prediction years 2015, 2020 and 2030: a base scenario assuming a geographically covering subsidized DRT system; a more economical scenario limiting the subsidized DRT services; a more accessible public transport; more flexibility of the users of the DRT system; an increase in the service area of the DRT service providers; and a doubling of the current supply of transport by volunteers.

Suggested Citation

  • Neven, An & Braekers, Kris & Declercq, Katrien & Wets, Geert & Janssens, Davy & Bellemans, Tom, 2015. "Assessing the impact of different policy decisions on the resource requirements of a Demand Responsive Transport system for persons with disabilities," Transport Policy, Elsevier, vol. 44(C), pages 48-57.
    • Handle: RePEc:eee:trapol:v:44:y:2015:i:c:p:48-57
    DOI: 10.1016/j.tranpol.2015.06.011
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    References listed on IDEAS

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    Cited by:

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    2. Marković, Nikola & Kim, Myungseob (Edward) & Schonfeld, Paul, 2016. "Statistical and machine learning approach for planning dial-a-ride systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 41-55.

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    Keywords

    Demand Responsive Transport; Paratransit;

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