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Analysing bicycle-sharing system user destination choice preferences: Chicago’s Divvy system

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  • Faghih-Imani, Ahmadreza
  • Eluru, Naveen

Abstract

In recent years, there has been increasing attention on bicycle-sharing systems (BSS) as a viable and sustainable mode of transportation for short trips. However, due to the relatively recent adoption of BSS, there is very little research exploring how people consider these systems within existing transportation options. Given recent BSS growth around the world, there is substantial interest in identifying contributing factors that encourage individuals to use these systems. The current study contributes to this growing literature by examining BSS behavior at the trip level to analyze bicyclists’ destination preferences. Specifically, we study the decision process involved in identifying destination locations after picking up a bicycle at a BSS station, using a random utility maximization approach in the form of a multinomial logit model (MNL). The quantitative frameworks developed have been estimated using 2013 data from the Chicago’s Divvy system. In our modeling effort, we distinguish between BSS users with annual membership and short-term customers with daily passes. The developed model should allow bicycle-sharing system operators to plan services more effectively by examining the impact of travel distance, land use, built environment, and access to public transportation infrastructure on users’ destination preferences. Using the estimated model, we generated utility profiles as a function of distance and various other attributes, allowing us to represent visually the trade-offs that individuals make in the decision process. To illustrate further the applicability of the proposed framework for planning purposes, destination station-choice probability prediction is undertaken.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:jotrge:v:44:y:2015:i:c:p:53-64
    DOI: 10.1016/j.jtrangeo.2015.03.005
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    File URL: http://www.sciencedirect.com/science/article/pii/S0966692315000459
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    3. 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.
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    5. Hyland, Michael & Hong, Zihan & Pinto, Helen Karla Ramalho de Farias & Chen, Ying, 2018. "Hybrid cluster-regression approach to model bikeshare station usage," Transportation Research Part A: Policy and Practice, Elsevier, vol. 115(C), pages 71-89.
    6. Guangnian Xiao & Zihao Wang, 2020. "Empirical Study on Bikesharing Brand Selection in China in the Post-Sharing Era," Sustainability, MDPI, Open Access Journal, vol. 12(8), pages 1-16, April.
    7. Maria Nogal & Pilar Jiménez, 2020. "Attractiveness of Bike-Sharing Stations from a Multi-Modal Perspective: The Role of Objective and Subjective Features," Sustainability, MDPI, Open Access Journal, vol. 12(21), pages 1-26, October.
    8. Lazarus, Jessica & Pourquier, Jean Carpentier & Feng, Frank & Hammel, Henry & Shaheen, Susan, 2020. "Micromobility evolution and expansion: Understanding how docked and dockless bikesharing models complement and compete – A case study of San Francisco," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt96g9c9nd, Institute of Transportation Studies, UC Berkeley.
    9. De Zhao & Ghim Ping Ong & Wei Wang & Wei Zhou, 2021. "Estimating Public Bicycle Trip Characteristics with Consideration of Built Environment Data," Sustainability, MDPI, Open Access Journal, vol. 13(2), pages 1-13, January.
    10. Faghih Imani, Ahmadreza & Miller, Eric J. & Saxe, Shoshanna, 2019. "Cycle accessibility and level of traffic stress: A case study of Toronto," Journal of Transport Geography, Elsevier, vol. 80(C).
    11. Hasnat, Md Mehedi & Faghih-Imani, Ahmadreza & Eluru, Naveen & Hasan, Samiul, 2019. "Destination choice modeling using location-based social media data," Journal of choice modelling, Elsevier, vol. 31(C), pages 22-34.
    12. Tomasz Bieliński & Agnieszka Ważna, 2020. "Electric Scooter Sharing and Bike Sharing User Behaviour and Characteristics," Sustainability, MDPI, Open Access Journal, vol. 12(22), pages 1-13, November.
    13. Du, Mingyang & Cheng, Lin & Li, Xuefeng & Tang, Fang, 2020. "Static rebalancing optimization with considering the collection of malfunctioning bikes in free-floating bike sharing system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    14. Wang, Kailai & Chen, Yu-Jen, 2020. "Joint analysis of the impacts of built environment on bikeshare station capacity and trip attractions," Journal of Transport Geography, Elsevier, vol. 82(C).
    15. Wang, Haizhong & Palm, Matthew & Chen, Chen & Vogt, Rachel & Wang, Yiyi, 2016. "Does bicycle network level of traffic stress (LTS) explain bicycle travel behavior? Mixed results from an Oregon case study," Journal of Transport Geography, Elsevier, vol. 57(C), pages 8-18.
    16. Mora-Navarro, Gaspar & Femenia-Ribera, Carmen & Martinez-Llario, Jose & Antequera-Terroso, Enrique, 2018. "Optimising urban routes as a factor to favour sustainable school transport," Journal of Transport Geography, Elsevier, vol. 72(C), pages 211-217.
    17. Zhang, Ying & Thomas, Tom & Brussel, Mark & van Maarseveen, Martin, 2017. "Exploring the impact of built environment factors on the use of public bikes at bike stations: Case study in Zhongshan, China," Journal of Transport Geography, Elsevier, vol. 58(C), pages 59-70.
    18. Tianjian Yang & Ye Li & Simin Zhou & Yu Zhang, 2019. "Dynamic Feedback Analysis of Influencing Factors and Challenges of Dockless Bike-Sharing Sustainability in China," Sustainability, MDPI, Open Access Journal, vol. 11(17), pages 1-17, August.
    19. Zhao, De & Ong, Ghim Ping & Wang, Wei & Hu, Xiao Jian, 2019. "Effect of built environment on shared bicycle reallocation: A case study on Nanjing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 128(C), pages 73-88.
    20. Sherriff, Graeme & Adams, Mags & Blazejewski, Luke & Davies, Nick & Kamerāde, Daiga, 2020. "From Mobike to no bike in Greater Manchester: Using the capabilities approach to explore Europe's first wave of dockless bike share," Journal of Transport Geography, Elsevier, vol. 86(C).
    21. 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.
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    23. Faghih-Imani, Ahmadreza & Eluru, Naveen, 2016. "Incorporating the impact of spatio-temporal interactions on bicycle sharing system demand: A case study of New York CitiBike system," Journal of Transport Geography, Elsevier, vol. 54(C), pages 218-227.
    24. Wang, Kailai & Akar, Gulsah & Chen, Yu-Jen, 2018. "Bike sharing differences among Millennials, Gen Xers, and Baby Boomers: Lessons learnt from New York City’s bike share," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 1-14.

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