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Exploring the Influence of Parking Penalties on Bike-Sharing System with Willingness Constraints: A Case Study of Beijing, China

Author

Listed:
  • Jiayu Bao

    (Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing 100044, China)

  • Guojun Chen

    (School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430070, China)

  • Zhenghua Liu

    (Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing 100044, China)

Abstract

Dockless bike-sharing has experienced explosive growth, establishing itself as an integral component of urban public transport systems. Challenges such as parking violations have spurred operators and users to pursue standardized management. While electronic parking spots are employed to promote standard parking, suboptimal parking layouts can lead to illegal parking. Inadequate post-violation penalties fail to achieve standard parking, while excessive punishment diminishes user engagement. This study combines parking spot density and penalties to incentivize standard parking, and Beijing, China, was selected as the research object. Using an SP questionnaire survey, a binary logistic model analyzes bike-sharing users’ standard parking behavior and willingness to adhere to different rules. Findings reveal that optimal walking distances range from 300 to 450 m for service levels and exceed 400 m for service efficiency. Influential factors include gender, age, occupation, usage behavior, and travel preferences. Users with high-frequency, low-convenience expectations, low travel costs, and flexible travel exhibit strong adherence. Additionally, user acceptance of the maximum distances without penalties follows an exponential distribution, with 80% accepting 400 m and 40% accepting 800 m. Enforcement has a visible effect within 300 m, but diminishes with longer distances. Excessive penalties result in significant user loss.

Suggested Citation

  • Jiayu Bao & Guojun Chen & Zhenghua Liu, 2023. "Exploring the Influence of Parking Penalties on Bike-Sharing System with Willingness Constraints: A Case Study of Beijing, China," Sustainability, MDPI, vol. 15(16), pages 1-19, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12526-:d:1219543
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    1. Carrion, Carlos & Levinson, David, 2012. "Value of travel time reliability: A review of current evidence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 720-741.
    2. Çelebi, Dilay & Yörüsün, Aslı & Işık, Hanife, 2018. "Bicycle sharing system design with capacity allocations," Transportation Research Part B: Methodological, Elsevier, vol. 114(C), pages 86-98.
    3. Wang, Jenhung & Tsai, Ching-Hui & Lin, Pei-Chun, 2016. "Applying spatial-temporal analysis and retail location theory to public bikes site selection in Taipei," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 45-61.
    4. Hosseini, Meysam & MirHassani, S.A., 2015. "Refueling-station location problem under uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 84(C), pages 101-116.
    5. Liangpeng Gao & Yanjie Ji & Xingchen Yan & Yao Fan & Weihong Guo, 2021. "Incentive measures to avoid the illegal parking of dockless shared bikes: the relationships among incentive forms, intensity and policy compliance," Transportation, Springer, vol. 48(2), pages 1033-1060, April.
    6. Lixuan Zhao & Dewei Fang & Yang Cao & Shan Sun & Liu Han & Yang Xue & Qian Zheng, 2023. "Impact-Asymmetric Analysis of Bike-Sharing Residents’ Satisfaction: A Case Study of Harbin, China," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    7. Wang, Shanyong & Wang, Jing & Li, Jun & Wang, Jinpeng & Liang, Liang, 2018. "Policy implications for promoting the adoption of electric vehicles: Do consumer’s knowledge, perceived risk and financial incentive policy matter?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 58-69.
    8. Nordlund, A. & Jansson, J. & Westin, K., 2018. "Acceptability of electric vehicle aimed measures: Effects of norm activation, perceived justice and effectiveness," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 205-213.
    9. Yang, Xu-Hua & Cheng, Zhi & Chen, Guang & Wang, Lei & Ruan, Zhong-Yuan & Zheng, Yu-Jun, 2018. "The impact of a public bicycle-sharing system on urban public transport networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 246-256.
    10. Ingvardson, Jesper Bláfoss & Nielsen, Otto Anker, 2019. "The relationship between norms, satisfaction and public transport use: A comparison across six European cities using structural equation modelling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 37-57.
    11. Daozhi Zhao & Di Wang, 2019. "The Research of Tripartite Collaborative Governance on Disorderly Parking of Shared Bicycles Based on the Theory of Planned Behavior and Motivation Theories—A Case of Beijing, China," Sustainability, MDPI, vol. 11(19), pages 1-21, September.
    12. Xing, Yingying & Wang, Ke & Lu, Jian John, 2020. "Exploring travel patterns and trip purposes of dockless bike-sharing by analyzing massive bike-sharing data in Shanghai, China," Journal of Transport Geography, Elsevier, vol. 87(C).
    13. Lu, Fangwen & Zhang, Jinan & Perloff, Jeffrey M., 2016. "General and specific information in deterring traffic violations: Evidence from a randomized experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 123(C), pages 97-107.
    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.
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