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Optimizing Bikeshare Service to Connect Affordable Housing Units with Transit Service

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  • Jaller, Miguel
  • Qian, Xiaodong
  • Joby, Raina
  • Xiao, Runhua Ivan

Abstract

This research studies the potential of bikeshare services to bridge the gap between Affordable Housing Communities (AHC) and transit services to improve transport accessibility of the residents. In doing so, the study develops an agent-based simulation optimization modeling (ABM) framework for the optimal design of the bikesharing station network considering improving accessibility as the objective. The study discusses measures of accessibility and uses travel times in a multi-modal network. Focusing on the city of Sacramento, CA, the study gathered information related to affordable housing communities, detailed transit services, demographic information, and other relevant data. This ABM framework is used to run three stages of travel demand modelling: trip generation, trip distribution and mode split to find the travel time differences under the availability of new bikesharing stations. The model is solved with a genetic algorithm approach. The results of the optimization and ABM-based simulation indicate the share of bike and bike & transit trips in the network under different scenarios. Key results indicate that about 60% of the AHCs are within 25-minute active travel time when the number of stations range from 25 to 75, and when the number of stations is increased to 100, most AHCs are within 40 mins of active mode distance and all of them are less than an hour away. In terms of accessibility, for example, having a larger network of stations (e.g., 100) increases by 70% the number of Points of Interest (for work, health, recreation, and other) within a 30-minute travel time. This report then provides some general recommendations for the planning of the bikesharing network considering information about destination choices as well as highlighting the past and current challenges in housing and transit planning. View the NCST Project Webpage

Suggested Citation

  • Jaller, Miguel & Qian, Xiaodong & Joby, Raina & Xiao, Runhua Ivan, 2023. "Optimizing Bikeshare Service to Connect Affordable Housing Units with Transit Service," Institute of Transportation Studies, Working Paper Series qt9mp4g0xz, Institute of Transportation Studies, UC Davis.
    • Handle: RePEc:cdl:itsdav:qt9mp4g0xz
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    References listed on IDEAS

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    1. Edoardo Croci & Davide Rossi, 2014. "Optimizing the position of bike sharing stations. The Milan case," IEFE Working Papers 68, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
    2. Wang, Jenhung & Tsai, Ching-Hui & Lin, Pei-Chun, 2016. "Applying spatial-temporal analysis and retail location theory to public bikes site selection in Taipei," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 45-61.
    3. Welch, Timothy F., 2013. "Equity in transport: The distribution of transit access and connectivity among affordable housing units," Transport Policy, Elsevier, vol. 30(C), pages 283-293.
    4. Cheng, Shaowu & Xie, Bing & Bie, Yiming & Zhang, Yaping & Zhang, Shen, 2018. "Measure dynamic individual spatial-temporal accessibility by public transit: Integrating time-table and passenger departure time," Journal of Transport Geography, Elsevier, vol. 66(C), pages 235-247.
    5. Griffin, Greg Phillip & Jiao, Junfeng, 2018. "Crowdsourcing Bike Share Station Locations: Evaluating participation and placement," SocArXiv mtnza, Center for Open Science.
    6. Qian, Xiaodong & Niemeier, Deb, 2019. "Identifying Bikeshare Station Locations to Improve Underserved Communities’ Accessibility," Institute of Transportation Studies, Working Paper Series qt3c16j41s, Institute of Transportation Studies, UC Davis.
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    Cited by:

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    Keywords

    Social and Behavioral Sciences; Accessibility; Bicycles; Housing; Location; Public transit; Travel demand; Travel time; Vehicle sharing;
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