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Locating rental stations and bikeways in a public bike system

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  • Jen-Jia Lin
  • Chun-Tien Lin
  • Cheng-Min Feng

Abstract

To determine the spatial distribution of rental stations and bikeways in a public bike system, this paper proposes a facility location and network design model. The model is developed as a multi-objective programing problem that considers four objectives (minimizing cyclist risk, maximizing cyclist comfort, minimizing adverse impacts on traffic and maximizing service coverage) and multiple constraints (monetary budget, network connectivity, station spacing, bikeway types, station number and value ranges of decision variables). The ε-constraint method solves the programing problem for the public bike system in Daan District, Taipei City, Taiwan. The nine non-dominated alternatives generated are all markedly better than existing locations of rental stations and bikeways. Scenario analysis results indicate that increasing the construction budget for bikeways significantly improves cyclist safety and comfort whilst increasing the adverse impact on traffic. Planners can use this model to develop public bike systems that spatially integrate rental stations and bikeway networks.

Suggested Citation

  • Jen-Jia Lin & Chun-Tien Lin & Cheng-Min Feng, 2018. "Locating rental stations and bikeways in a public bike system," Transportation Planning and Technology, Taylor & Francis Journals, vol. 41(4), pages 402-420, May.
    • Handle: RePEc:taf:transp:v:41:y:2018:i:4:p:402-420
    DOI: 10.1080/03081060.2018.1453915
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    Cited by:

    1. Jessica Berg & Malin Henriksson & Jonas Ihlström, 2019. "Comfort First! Vehicle-Sharing Systems in Urban Residential Areas: The Importance for Everyday Mobility and Reduction of Car Use among Pilot Users," Sustainability, MDPI, vol. 11(9), pages 1-16, April.

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