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Geo-fenced parking spaces identification for free-floating bicycle sharing system

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  • Zhao, De
  • Ong, Ghim Ping

Abstract

Inconsiderate parking of free-floating bicycle sharing (FFBS) can lead to conflict between FFBS companies (due to their need for a viable business model) and the local government (due to concern on the negative public image made towards the city’s landscape). This is despite the importance of FFBS in providing a reliable first and last mile connection service. The provision of geo-fenced parking spaces, along with enforcement, is the most direct approach to deal with inconsiderate parking and has been adopted by government agencies. However, such parking spaces need to be designed properly to prevent a mismatch between parking location and capacity, and the true parking demand. In this paper, we proposed an easy-to-implement procedure, which integrates the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) method and the k-means clustering algorithm in identifying potential bicycle parking facility locations and capacities. Using the FFBS operations in Xiamen, China as a case study, real-time static bicycle location data were collected over regular time intervals throughout a 21-day period to calibrate and validate the hybrid-clustering model. Comparison between model results and existing bicycle parking lots showed that the parking lots determined by our hybrid-clustering model is more effective in terms of bicycle coverage than current practices. The selection of model parameters depends on the desired level of service and the designed available parking space per parking location. The influence of data scanning frequency on the results is studied and it is found that parking deployments model results are stable so long as the data scanning frequency is larger than 6 times per day. The proposed approach in this study will be valuable to the decision-makers as well as related shared mobility operators to determine the bicycle parking location and parking lot size at a strategic planning level.

Suggested Citation

  • Zhao, De & Ong, Ghim Ping, 2021. "Geo-fenced parking spaces identification for free-floating bicycle sharing system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 49-63.
    • Handle: RePEc:eee:transa:v:148:y:2021:i:c:p:49-63
    DOI: 10.1016/j.tra.2021.03.007
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    References listed on IDEAS

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    1. Nakamura, Hiroki & Abe, Naoya, 2014. "Evaluation of the hybrid model of public bicycle-sharing operation and private bicycle parking management," Transport Policy, Elsevier, vol. 35(C), pages 31-41.
    2. Jia, Yingnan & Fu, Hua, 2019. "Association between innovative dockless bicycle sharing programs and adopting cycling in commuting and non-commuting trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 12-21.
    3. Jing Lan & Yuge Ma & Dajian Zhu & Diana Mangalagiu & Thomas F. Thornton, 2017. "Enabling Value Co-Creation in the Sharing Economy: The Case of Mobike," Sustainability, MDPI, vol. 9(9), pages 1-20, August.
    4. Ji, Yuxuan & Geroliminis, Nikolas, 2012. "On the spatial partitioning of urban transportation networks," Transportation Research Part B: Methodological, Elsevier, vol. 46(10), pages 1639-1656.
    5. Parkes, Stephen & Mardsen, Greg & Shaheen, Susan PhD & Cohen, Adam, 2013. "Understanding the Diffusion of Public Bikesharing Systems: Evidence from Europe and North America," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3qr9h2pr, Institute of Transportation Studies, UC Berkeley.
    6. 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.
    7. Fukuda, Daisuke & Morichi, Shigeru, 2007. "Incorporating aggregate behavior in an individual's discrete choice: An application to analyzing illegal bicycle parking behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(4), pages 313-325, May.
    8. Zuo, Ting & Wei, Heng & Rohne, Andrew, 2018. "Determining transit service coverage by non-motorized accessibility to transit: Case study of applying GPS data in Cincinnati metropolitan area," Journal of Transport Geography, Elsevier, vol. 67(C), pages 1-11.
    9. Parkes, Stephen D. & Marsden, Greg & Shaheen, Susan A. & Cohen, Adam P., 2013. "Understanding the diffusion of public bikesharing systems: evidence from Europe and North America," Journal of Transport Geography, Elsevier, vol. 31(C), pages 94-103.
    10. Médard de Chardon, Cyrille, 2019. "The contradictions of bike-share benefits, purposes and outcomes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 401-419.
    11. Zhang, Yongping & Mi, Zhifu, 2018. "Environmental benefits of bike sharing: A big data-based analysis," Applied Energy, Elsevier, vol. 220(C), pages 296-301.
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    3. Colovic, Aleksandra & Prencipe, Luigi Pio & Giuffrida, Nadia & Ottomanelli, Michele, 2024. "A multi-objective model to design shared e-kick scooters parking spaces in large urban areas," Journal of Transport Geography, Elsevier, vol. 116(C).
    4. Cheng, Long & Wang, Kailai & De Vos, Jonas & Huang, Jie & Witlox, Frank, 2022. "Exploring non-linear built environment effects on the integration of free-floating bike-share and urban rail transport: A quantile regression approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 175-187.
    5. Fukushige, Tatsuya & Fitch, Dillon T. & Handy, Susan, 2022. "Can an Incentive-Based approach to rebalancing a Dock-less Bike-share system Work? Evidence from Sacramento, California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 181-194.

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