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GPS data in urban bicycle-sharing: Dynamic electric fence planning with assessment of resource-saving and potential energy consumption increasement

Author

Listed:
  • Yu, Qing
  • Xie, Yingkun
  • Li, Weifeng
  • Zhang, Haoran
  • Liu, Xiaolei
  • Shang, Wen-Long
  • Chen, Jinyu
  • Yang, Dongyuan
  • Yan, Jinyue

Abstract

As a newly-emerging option of shared transportation, Internet-enabled dockless bicycle sharing is well accepted by the public. The implementation of electric fences has great potential to tackle the problem of random parking in bicycle sharing services. However, the deployment of electric fences would have a negative impact on the convenience of bicycle sharing services, which might lead to an increase in energy consumption among customers who switch their methods of transportation. This paper proposes a dynamic electric fence planning method with an assessment of resource-saving and potential energy consumption increasement. An agent-based model is proposed to simulate the trips and evaluated the performance of static and dynamic electric fences. The results show that dynamic electric fences require significantly shorter walking distances than static electric fences. The implementation of electric fences in the city center can significantly avoid random parking and improve the parking tidiness of bicycles. The implementation of dynamic and static electric fences can averagely save 25.31% and 27.76% bicycle resources. By estimating travel mode shifting, dynamic electric fence can reduce energy consumption by 5.79% per day compared to the static electric fence situation.

Suggested Citation

  • Yu, Qing & Xie, Yingkun & Li, Weifeng & Zhang, Haoran & Liu, Xiaolei & Shang, Wen-Long & Chen, Jinyu & Yang, Dongyuan & Yan, Jinyue, 2022. "GPS data in urban bicycle-sharing: Dynamic electric fence planning with assessment of resource-saving and potential energy consumption increasement," Applied Energy, Elsevier, vol. 322(C).
    • Handle: RePEc:eee:appene:v:322:y:2022:i:c:s0306261922008509
    DOI: 10.1016/j.apenergy.2022.119533
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    References listed on IDEAS

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    Cited by:

    1. Chen Deng & Houqiang Ma, 2024. "A Sustainable Dynamic Capacity Estimation Method Based on Bike-Sharing E-Fences," Sustainability, MDPI, vol. 16(14), pages 1-17, July.

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