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Simulating ad-hoc demand-responsive transportation: a comparison of three approaches

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  • Nicole Ronald
  • Russell Thompson
  • Stephan Winter

Abstract

Transport models are used to evaluate new infrastructure and public transport services, varied levels of demand, and new ideas for demand management. Exploring these proposals virtually is easier than implementation and testing in situ. However, existing models are based around traditional forms of transportation. As part of a feature analysis using a case study approach, three different simulation packages (a simple custom-developed package, traffic microsimulation, and agent-based simulation) are used to develop and demonstrate simulations of demand-responsive transportation (DRT) and analyze the advantages and disadvantages of each simulation approach for evaluating DRT. While the simulations display some relational replication (meaning they produce similar relational patterns with respect to certain variables), they do not show distributional replication (that is, the value of the results is not statistically similar), meaning that under- or over-estimation of predicted travel could occur. Recommendations for the application of each modeling approach are made.

Suggested Citation

  • Nicole Ronald & Russell Thompson & Stephan Winter, 2017. "Simulating ad-hoc demand-responsive transportation: a comparison of three approaches," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(3), pages 340-358, April.
    • Handle: RePEc:taf:transp:v:40:y:2017:i:3:p:340-358
    DOI: 10.1080/03081060.2017.1283159
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    References listed on IDEAS

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    1. Round, Alfred & Cervero, Robert, 1996. "Future Ride: Adapting New Technologies to Paratransit in the United States," University of California Transportation Center, Working Papers qt3j05r8m8, University of California Transportation Center.
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    Cited by:

    1. Bürstlein, Johanna & López, David & Farooq, Bilal, 2021. "Exploring first-mile on-demand transit solutions for North American suburbia: A case study of Markham, Canada," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 261-283.
    2. Pau Segui-Gasco & Haris Ballis & Vittoria Parisi & David G. Kelsall & Robin J. North & Didac Busquets, 2019. "Simulating a rich ride-share mobility service using agent-based models," Transportation, Springer, vol. 46(6), pages 2041-2062, December.

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