IDEAS home Printed from https://ideas.repec.org/p/cdl/itsdav/qt4kp5092s.html
   My bibliography  Save this paper

Modeling Framework for Socially Inclusive Bikesharing Services

Author

Listed:
  • Qian, Xiaodong

Abstract

Bikeshare programs are increasingly popular in the United States and they are an important part of sustainable transportation systems, offering a viable mode choice for many types of last-mile trips. This popularity means that an increasing number of people can enjoy the convenience of cycling and the associated physical health benefits without actually owning a bike (or having access to their own bikes). However, bikeshare systems have not captured high levels of ridership from disadvantaged populations. Many barriers exist that prohibit residents from disadvantaged communities from accessing bikeshare services. These barriers include absence of bikeshare stations within walking distances, lack of financial resources, cultural barriers, and/or unsafe cycling environments. Most of the current research on bikeshare programs focuses on societal benefits (e.g. reducing greenhouse gas emissions by replacing auto trips with bike trips) and bikeshare system management (e.g., bike repositioning between stations). There is some emerging research focused on equity issues in developing bikeshare. However, far less attention has been paid to bikeshare programs’ potential benefits for disadvantaged communities and virtually no quantitative research on how to design bikeshare systems to improve access for these populations. This dissertation work addresses three fundamental bikeshare equity problems.

Suggested Citation

  • Qian, Xiaodong, 2019. "Modeling Framework for Socially Inclusive Bikesharing Services," Institute of Transportation Studies, Working Paper Series qt4kp5092s, Institute of Transportation Studies, UC Davis.
  • Handle: RePEc:cdl:itsdav:qt4kp5092s
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/4kp5092s.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2015. "Analysing bicycle-sharing system user destination choice preferences: Chicago’s Divvy system," Journal of Transport Geography, Elsevier, vol. 44(C), pages 53-64.
    2. Fishman, Elliot & Washington, Simon & Haworth, Narelle & Mazzei, Armando, 2014. "Barriers to bikesharing: an analysis from Melbourne and Brisbane," Journal of Transport Geography, Elsevier, vol. 41(C), pages 325-337.
    3. Wang, Mingshu & Zhou, Xiaolu, 2017. "Bike-sharing systems and congestion: Evidence from US cities," Journal of Transport Geography, Elsevier, vol. 65(C), pages 147-154.
    4. Fishman, Elliot & Washington, Simon & Haworth, Narelle & Watson, Angela, 2015. "Factors influencing bike share membership: An analysis of Melbourne and Brisbane," Transportation Research Part A: Policy and Practice, Elsevier, vol. 71(C), pages 17-30.
    5. Goodman, Anna & Cheshire, James, 2014. "Inequalities in the London bicycle sharing system revisited: impacts of extending the scheme to poorer areas but then doubling prices," Journal of Transport Geography, Elsevier, vol. 41(C), pages 272-279.
    6. Qian, Xiaodong & Niemeier, Deb, 2019. "High impact prioritization of bikeshare program investment to improve disadvantaged communities' access to jobs and essential services," Journal of Transport Geography, Elsevier, vol. 76(C), pages 52-70.
    7. Ricciardi, Anthony Michael & Xia, Jianhong(Cecilia) & Currie, Graham, 2015. "Exploring public transport equity between separate disadvantaged cohorts: a case study in Perth, Australia," Journal of Transport Geography, Elsevier, vol. 43(C), pages 111-122.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Qian, Xiaodong & Jaller, Miguel, 2020. "Bikesharing, equity, and disadvantaged communities: A case study in Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 354-371.
    2. Maas, Suzanne & Attard, Maria & Caruana, Mark Anthony, 2020. "Assessing spatial and social dimensions of shared bicycle use in a Southern European island context: The case of Las Palmas de Gran Canaria," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 81-97.
    3. Médard de Chardon, Cyrille & Caruso, Geoffrey & Thomas, Isabelle, 2017. "Bicycle sharing system ‘success’ determinants," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 202-214.
    4. Radzimski, Adam & Dzięcielski, Michał, 2021. "Exploring the relationship between bike-sharing and public transport in Poznań, Poland," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 189-202.
    5. Wang, Jueyu & Lindsey, Greg, 2019. "Do new bike share stations increase member use: A quasi-experimental study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 1-11.
    6. Chen, Zhiwei & Guo, Yujie & Stuart, Amy L. & Zhang, Yu & Li, Xiaopeng, 2019. "Exploring the equity performance of bike-sharing systems with disaggregated data: A story of southern Tampa," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 529-545.
    7. Wang, Kailai & Akar, Gulsah, 2019. "Gender gap generators for bike share ridership: Evidence from Citi Bike system in New York City," Journal of Transport Geography, Elsevier, vol. 76(C), pages 1-9.
    8. Kim, Minjun & Cho, Gi-Hyoug, 2021. "Analysis on bike-share ridership for origin-destination pairs: Effects of public transit route characteristics and land-use patterns," Journal of Transport Geography, Elsevier, vol. 93(C).
    9. Jain, Taru & Wang, Xinyi & Rose, Geoffrey & Johnson, Marilyn, 2018. "Does the role of a bicycle share system in a city change over time? A longitudinal analysis of casual users and long-term subscribers," Journal of Transport Geography, Elsevier, vol. 71(C), pages 45-57.
    10. Wang, Jueyu & Lindsey, Greg, 2019. "Neighborhood socio-demographic characteristics and bike share member patterns of use," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    11. Yuanyuan Zhang & Yuming Zhang, 2018. "Associations between Public Transit Usage and Bikesharing Behaviors in The United States," Sustainability, MDPI, vol. 10(6), pages 1-20, June.
    12. Yi Zhu, 2022. "Can bicycle sharing mitigate vehicle emission in Chinese large cities? Estimation based on mode shift analysis," Transportation, Springer, vol. 49(6), pages 1627-1648, December.
    13. Bakó, Barna & Berezvai, Zombor & Isztin, Péter & Vigh, Enikő Zita, 2020. "Does Uber affect bicycle-sharing usage? Evidence from a natural experiment in Budapest," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 290-302.
    14. Gu, Tianqi & Kim, Inhi & Currie, Graham, 2019. "To be or not to be dockless: Empirical analysis of dockless bikeshare development in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 122-147.
    15. Mingyang Du & Lin Cheng, 2018. "Better Understanding the Characteristics and Influential Factors of Different Travel Patterns in Free-Floating Bike Sharing: Evidence from Nanjing, China," Sustainability, MDPI, vol. 10(4), pages 1-14, April.
    16. Teixeira, João Filipe & Silva, Cecília & Moura e Sá, Frederico, 2023. "Factors influencing modal shift to bike sharing: Evidence from a travel survey conducted during COVID-19," Journal of Transport Geography, Elsevier, vol. 111(C).
    17. Alexandros Nikitas, 2019. "How to Save Bike-Sharing: An Evidence-Based Survival Toolkit for Policy-Makers and Mobility Providers," Sustainability, MDPI, vol. 11(11), pages 1-17, June.
    18. Tomasz Bieliński & Łukasz Dopierała & Maciej Tarkowski & Agnieszka Ważna, 2020. "Lessons from Implementing a Metropolitan Electric Bike Sharing System," Energies, MDPI, vol. 13(23), pages 1-21, November.
    19. Zhou, Xiaolu & Wang, Mingshu & Li, Dongying, 2019. "Bike-sharing or taxi? Modeling the choices of travel mode in Chicago using machine learning," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    20. Yi Yao & Yifang Zhang & Lixin Tian & Nianxing Zhou & Zhilin Li & Minggang Wang, 2019. "Analysis of Network Structure of Urban Bike-Sharing System: A Case Study Based on Real-Time Data of a Public Bicycle System," Sustainability, MDPI, vol. 11(19), pages 1-17, September.

    More about this item

    Keywords

    Engineering; Social and Behavioral Sciences; Bikeshare; Demand estimation; Social equity; Sustainable transportation; Trip distribution;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:itsdav:qt4kp5092s. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucdus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.