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Examining market segmentation to increase bike-share use and enhance equity: The case of the greater Sacramento region

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  • Mohiuddin, Hossain
  • Fitch-Polse, Dillon T.
  • Handy, Susan L.

Abstract

As bike-share systems proliferate across the US, a deeper understanding of current bike-share users could enable an expansion of these services and their benefits to a larger population. To grow bike-share demand sustainably and equitably, cities must understand how different segments of the population use this service. Understanding the different segments within a market enable operators to develop strategies that are tailored toward the needs of each segment. This study uses data from bike-share user surveys in the Sacramento region to perform market segmentation based on perceptions of the bike-share service, mode use patterns, and bike-share use. We focus on the market segments with more limited means of transportation: low-income individuals, zero-car households, students, and transit and car-share users. The results show that individuals with low incomes, those without cars, and students use the service frequently for commuting and a variety of non-commuting purposes. Bike-share is generally adopted by all mode user groups but is used at a higher rate by the super multimodal and active multimodal groups. The occasional users of the bike-share service are mainly those with higher incomes and individuals who have access to a personal car. The segments consisting of non- and infrequent-personal bike users use the bike-share service at a greater rate for different purposes than regular bicyclists, suggesting that bike-share may act as a lever for increasing bike travel for some users. Results from data mining suggest that bike-share operators should target low-income and zero-car owners for new recruitment as these groups are more likely to use bike-share frequently. The results provide insights that may be helpful to cities as they consider strategies to increase bike-share demand in a way that enhances social equity.

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  • Mohiuddin, Hossain & Fitch-Polse, Dillon T. & Handy, Susan L., 2024. "Examining market segmentation to increase bike-share use and enhance equity: The case of the greater Sacramento region," Transport Policy, Elsevier, vol. 145(C), pages 279-290.
    • Handle: RePEc:eee:trapol:v:145:y:2024:i:c:p:279-290
    DOI: 10.1016/j.tranpol.2023.10.021
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    1. Duran-Rodas, David & Villeneuve, Dominic & Pereira, Francisco C. & Wulfhorst, Gebhard, 2020. "How fair is the allocation of bike-sharing infrastructure? Framework for a qualitative and quantitative spatial fairness assessment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 299-319.
    2. van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
    3. Robert Tibshirani & Guenther Walther & Trevor Hastie, 2001. "Estimating the number of clusters in a data set via the gap statistic," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(2), pages 411-423.
    4. Noland, Robert B & Kunreuther, Howard, 1995. "Short-run and long-run policies for increasing bicycle transportation for daily commuter trips," Transport Policy, Elsevier, vol. 2(1), pages 67-79, January.
    5. Bergström, A. & Magnusson, R., 2003. "Potential of transferring car trips to bicycle during winter," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(8), pages 649-666, October.
    6. Hossain Mohiuddin & Md Musfiqur Rahman Bhuiya & Shaila Jamal & Zhi Chen, 2022. "Exploring the Choice of Bicycling and Walking in Rajshahi, Bangladesh: An Application of Integrated Choice and Latent Variable (ICLV) Models," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    7. Wagner A. Kamakura & Byung-Do Kim & Jonathan Lee, 1996. "Modeling Preference and Structural Heterogeneity in Consumer Choice," Marketing Science, INFORMS, vol. 15(2), pages 152-172.
    8. Dillon T. Fitch & Hossain Mohiuddin & Susan L. Handy, 2021. "Examining the Effects of the Sacramento Dockless E-Bike Share on Bicycling and Driving," Sustainability, MDPI, vol. 13(1), pages 1-26, January.
    9. Daniel McFadden, 1986. "The Choice Theory Approach to Market Research," Marketing Science, INFORMS, vol. 5(4), pages 275-297.
    10. Hossain Mohiuddin, 2021. "Planning for the First and Last Mile: A Review of Practices at Selected Transit Agencies in the United States," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    11. Mohiuddin, Hossain & Fitch-Polse, Dillon T. & Handy, Susan L., 2023. "Does bike-share enhance transport equity? Evidence from the Sacramento, California region," Journal of Transport Geography, Elsevier, vol. 109(C).
    12. J. A. Hartigan & M. A. Wong, 1979. "A K‐Means Clustering Algorithm," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 28(1), pages 100-108, March.
    13. Rezwana Rafiq & Michael G. McNally, 2023. "An exploratory analysis of alternative travel behaviors of ride-hailing users," Transportation, Springer, vol. 50(2), pages 571-605, April.
    14. Fitch, Dillon PhD & Mohiuddin, Hossain & Handy, Susan PhD, 2020. "Investigating the Influence of Dockless Electric Bike-share on Travel Behavior, Attitudes, Health, and Equity," Institute of Transportation Studies, Working Paper Series qt2x53m37z, Institute of Transportation Studies, UC Davis.
    15. Shaheen, Susan PhD & Martin, Elliot PhD & Cohen, Adam, 2013. "Public Bikesharing and Modal Shift Behavior: A Comparative Study of Early Bikesharing Systems in North America," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt7010k9p3, Institute of Transportation Studies, UC Berkeley.
    16. Şimşekoğlu, Özlem & Nordfjærn, Trond & Rundmo, Torbjørn, 2015. "The role of attitudes, transport priorities, and car use habit for travel mode use and intentions to use public transportation in an urban Norwegian public," Transport Policy, Elsevier, vol. 42(C), pages 113-120.
    17. 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.
    18. Li, Zhibin & Wang, Wei & Yang, Chen & Ragland, David R., 2013. "Bicycle commuting market analysis using attitudinal market segmentation approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 47(C), pages 56-68.
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