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Identifying alternative stops for first and last-mile urban travel planning

Author

Listed:
  • Thomas Horstmannshoff

    (Otto Von Guericke University Magdeburg)

  • Michael Redmond

    (University of Iowa)

Abstract

Urban travelers today are seeking increasingly more information to plan their optimal trip, based on additional factors other than scheduled departure times. Still, some route planning applications provide a simple approach with a few parameter settings (e.g. to minimize travel time between two specific places at a certain time) and without any multimodal solutions. Our approach provides travelers with a set of non-dominated nearby stops that presents a number of traveler preferences in an easily comprehensible and quickly calculable manner. We display first and last-mile stops that fall on a Pareto front based on multiple criteria such as travel time, number of transfers, and frequency of service. Our algorithm combines stop and route-based information to quickly present the traveler with numerous nearby quality options for their itinerary decision making. We expand this algorithm to include multimodal itineraries with the incorporation of free-floating scooters to investigate the change in stop and itinerary characteristics. We then analyze the results on the star-shaped public transportation network of Göttingen, Germany, to show what advantages stops on the Pareto front have as well as demonstrate the increased effect on frequency and service lines when incorporating a broadened multimodal approach.

Suggested Citation

  • Thomas Horstmannshoff & Michael Redmond, 2024. "Identifying alternative stops for first and last-mile urban travel planning," Public Transport, Springer, vol. 16(2), pages 359-379, June.
    • Handle: RePEc:spr:pubtra:v:16:y:2024:i:2:d:10.1007_s12469-024-00355-w
    DOI: 10.1007/s12469-024-00355-w
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    References listed on IDEAS

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    1. Grotenhuis, Jan-Willem & Wiegmans, Bart W. & Rietveld, Piet, 2007. "The desired quality of integrated multimodal travel information in public transport: Customer needs for time and effort savings," Transport Policy, Elsevier, vol. 14(1), pages 27-38, January.
    2. Michael Redmond & Ann Melissa Campbell & Jan Fabian Ehmke, 2020. "Data-driven planning of reliable itineraries in multi-modal transit networks," Public Transport, Springer, vol. 12(1), pages 171-205, March.
    3. Mulley, Corinne & Ho, Chinh & Ho, Loan & Hensher, David & Rose, John, 2018. "Will bus travellers walk further for a more frequent service? An international study using a stated preference approach," Transport Policy, Elsevier, vol. 69(C), pages 88-97.
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