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Neighborhood socio-demographic characteristics and bike share member patterns of use

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  • Wang, Jueyu
  • Lindsey, Greg

Abstract

Information about factors that affect patterns of use by bike share members is needed to manage systems effectively and equitably. Recent research into the patterns of use by members across heterogeneous neighborhoods indicates that neighborhood characteristics as well as built environment characteristics may be associated with use. We use 2017 data on trips taken by 30-day and annual members of the Nice Ride Bike Share System in Minneapolis-St. Paul and examine the associations between user behavior and socio-demographic characteristics at the Census block group (CBG) level where members live. We estimate linear mixed-effects models and multinomial logistic models to analyze the associations of neighborhood socio-demographic characteristics with, respectively, (1) the frequency and duration of weekday and weekend trips by members and (2) the temporal and spatial patterns of their trips. Our results show that, after controlling for station accessibility, nearby bike infrastructure, the built environment, gender, and age, members who reside in minority-concentrated and lower socio-economic status (SES) neighborhoods use bike share more frequently, take trips at more varied times-of-day and across days-of-week, and have more frequently-used origin-destination pairs of stations. A limitation of our analysis is that patterns of use of casual users are not investigated. Our findings have implications for efforts to serve members in neighborhoods with higher concentrations of minorities and residents of lower SES and illustrate the need for more detailed surveys of members to obtain additional information about individual characteristics associated with behaviors of bike share users.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:jotrge:v:79:y:2019:i:c:20
    DOI: 10.1016/j.jtrangeo.2019.102475
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    as
    1. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    2. Lu-Yi Qiu & Ling-Yun He, 2018. "Bike Sharing and the Economy, the Environment, and Health-Related Externalities," Sustainability, MDPI, vol. 10(4), pages 1-10, April.
    3. Shaheen, Susan & Guzman, Stacey & Zhang, Hua, 2010. "Bikesharing in Europe, the Americas, and Asia: Past, Present, and Future," Institute of Transportation Studies, Working Paper Series qt79v822k5, Institute of Transportation Studies, UC Davis.
    4. Xiaolu Zhou, 2015. "Understanding Spatiotemporal Patterns of Biking Behavior by Analyzing Massive Bike Sharing Data in Chicago," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-20, October.
    5. Maizlish, N. & Woodcock, J. & Co, S. & Ostro, B. & Fanai, A. & Fairley, D., 2013. "Health cobenefits and transportation-related reductions in greenhouse gas emissions in the San Francisco Bay Area," American Journal of Public Health, American Public Health Association, vol. 103(4), pages 703-709.
    6. 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.
    7. 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.
    8. Mooney, Stephen J. & Hosford, Kate & Howe, Bill & Yan, An & Winters, Meghan & Bassok, Alon & Hirsch, Jana A., 2019. "Freedom from the station: Spatial equity in access to dockless bike share," Journal of Transport Geography, Elsevier, vol. 74(C), pages 91-96.
    9. Stafford, M. & Cummins, S. & Macintyre, S. & Ellaway, A. & Marmot, M., 2005. "Gender differences in the associations between health and neighbourhood environment," Social Science & Medicine, Elsevier, vol. 60(8), pages 1681-1692, April.
    10. Sophia Rabe-Hesketh & Anders Skrondal, 2012. "Multilevel and Longitudinal Modeling Using Stata, 3rd Edition," Stata Press books, StataCorp LP, edition 3, number mimus2, March.
    11. Wafic El-Assi & Mohamed Salah Mahmoud & Khandker Nurul Habib, 2017. "Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto," Transportation, Springer, vol. 44(3), pages 589-613, May.
    12. Shaheen, Susan PhD & Cohen, Adam & Martin, Elliot PhD, 2013. "Public Bikesharing in North America: Early Operator Understanding and Emerging Trends," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1x26m6z7, Institute of Transportation Studies, UC Berkeley.
    13. Cao, Xinyu (Jason) & Mokhtarian, Patricia L. & Handy, Susan L., 2009. "The relationship between the built environment and nonwork travel: A case study of Northern California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(5), pages 548-559, June.
    14. 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.
    15. Kyle Gebhart & Robert Noland, 2014. "The impact of weather conditions on bikeshare trips in Washington, DC," Transportation, Springer, vol. 41(6), pages 1205-1225, November.
    16. Shaheen, Susan A & Guzman, Stacey & Zhang, Hua, 2010. "Bikesharing in Europe, the Americas, and Asia: Past, Present and Future," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6qg8q6ft, Institute of Transportation Studies, UC Berkeley.
    17. Meghan Winters & Gavin Davidson & Diana Kao & Kay Teschke, 2011. "Motivators and deterrents of bicycling: comparing influences on decisions to ride," Transportation, Springer, vol. 38(1), pages 153-168, January.
    18. Faghih-Imani, Ahmadreza & Eluru, Naveen & El-Geneidy, Ahmed M. & Rabbat, Michael & Haq, Usama, 2014. "How land-use and urban form impact bicycle flows: evidence from the bicycle-sharing system (BIXI) in Montreal," Journal of Transport Geography, Elsevier, vol. 41(C), pages 306-314.
    19. O’Brien, Oliver & Cheshire, James & Batty, Michael, 2014. "Mining bicycle sharing data for generating insights into sustainable transport systems," Journal of Transport Geography, Elsevier, vol. 34(C), pages 262-273.
    20. Elliot Fishman & Simon Washington & Narelle Haworth, 2013. "Bike Share: A Synthesis of the Literature," Transport Reviews, Taylor & Francis Journals, vol. 33(2), pages 148-165, March.
    21. Vogel, Marie & Hamon, Ronan & Lozenguez, Guillaume & Merchez, Luc & Abry, Patrice & Barnier, Julien & Borgnat, Pierre & Flandrin, Patrick & Mallon, Isabelle & Robardet, Céline, 2014. "From bicycle sharing system movements to users: a typology of Vélo’v cyclists in Lyon based on large-scale behavioural dataset," Journal of Transport Geography, Elsevier, vol. 41(C), pages 280-291.
    22. Jessica Schoner & Xinyu (Jason) Cao & David Levinson, 2013. "Catalysts And Magnets: Built Environment Effects On Bicycle Commuting," Working Papers 000116, University of Minnesota: Nexus Research Group.
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    7. Sweet, Matthias N. & Scott, Darren M., 2021. "Shared mobility adoption from 2016 to 2018 in the Greater Toronto and Hamilton Area: Demographic or geographic diffusion?," Journal of Transport Geography, Elsevier, vol. 96(C).
    8. Sanjana Hossain & Patrick Loa & Felita Ong & Khandker Nurul Habib, 2024. "Exploring the spatiotemporal factors affecting bicycle-sharing demand during the COVID-19 pandemic," Transportation, Springer, vol. 51(5), pages 1575-1610, October.

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