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Which Station? Access Trips and Bike Share Route Choice

Author

Listed:
  • Jessica Schoner
  • David Levinson

    (Nexus (Networks, Economics, and Urban Systems) Research Group, Department of Civil Engineering, University of Minnesota)

Abstract

Bike share systems are an emerging technology in the United States and worldwide, but little is known about how people integrate bike share trip segments into their daily travel. Through this research, we attempt to fill this knowledge gap by studying how people navigate from place to place using the Nice Ride Minnesota bike share system in Minneapolis and St. Paul. We develop a theoretical model for bike share station choice inspired by research on transit route choice literature. We then model people’s choice of origin station using a conditional logit model to evaluate their sensitivity to time spent walking, deviation from the shortest path, and a set of station amenity and neighborhood control variables. As expected, people prefer to use stations that do not require long detours out of the way to access. However, commuters and non-work travelers differ in how they value the walking portion of their trip, and what station amenities and neighborhood features increase a station’s utility. The results from this study will be important for planners who need a better understanding of bike share user behavior in order to design or optimize their system. The findings also provide a strong foundation for future study about comprehensive route choice analysis of this new bicycling technology.

Suggested Citation

  • Jessica Schoner & David Levinson, 2013. "Which Station? Access Trips and Bike Share Route Choice," Working Papers 000117, University of Minnesota: Nexus Research Group.
    • Handle: RePEc:nex:wpaper:stationchoice
    DOI: 10.25910/Z07C-KX08
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    File URL: http://hdl.handle.net/11299/179838
    File Function: First version, 2013
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    References listed on IDEAS

    as
    1. Piet Bovy & Sascha Hoogendoorn-Lanser, 2005. "Modelling route choice behaviour in multi-modal transport networks," Transportation, Springer, vol. 32(4), pages 341-368, July.
    2. Wardman, Mark, 2004. "Public transport values of time," Transport Policy, Elsevier, vol. 11(4), pages 363-377, October.
    3. Guo, Zhan, 2011. "Mind the map! The impact of transit maps on path choice in public transit," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(7), pages 625-639, August.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Kumar Dey, Bibhas & Anowar, Sabreena & Eluru, Naveen, 2021. "A framework for estimating bikeshare origin destination flows using a multiple discrete continuous system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 119-133.
    2. Qian, Xiaodong & Jaller, Miguel & Niemeier, Debbie, 2020. "Enhancing equitable service level: Which can address better, dockless or dock-based Bikeshare systems?," Journal of Transport Geography, Elsevier, vol. 86(C).
    3. Martina Fazio & Nadia Giuffrida & Michela Le Pira & Giuseppe Inturri & Matteo Ignaccolo, 2021. "Planning Suitable Transport Networks for E-Scooters to Foster Micromobility Spreading," Sustainability, MDPI, vol. 13(20), pages 1-18, October.
    4. Martin, Elliot W. & Shaheen, Susan A., 2014. "Evaluating public transit modal shift dynamics in response to bikesharing: a tale of two U.S. cities," Journal of Transport Geography, Elsevier, vol. 41(C), pages 315-324.
    5. Martin, Elliot PhD & Shaheen, Susan PhD, 2014. "Evaluating Public Transit Modal Shift Dynamics In Response to Bikesharing: A Tale of Two U.S. Cities," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6x29n876, Institute of Transportation Studies, UC Berkeley.
    6. Akbari Majid & Zarghamfard Moslem & Hajisharifi Arezoo & Amir Entekhabi Shahram & Goodarzipour Sadrallah, 2022. "Modelling the Obstacles to using Bicycle Sharing Systems in the Tehran Metropolis: A Structural Analysis," Quaestiones Geographicae, Sciendo, vol. 41(2), pages 109-124, June.

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    More about this item

    Keywords

    destination choice; station choice; bicycling; bike sharing;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns

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