Exploring the usage efficiency of electric bike-sharing from a spatial–temporal perspective

The rapid expansion of electric bike-sharing (EBS) induces temporal and spatial supply–demand imbalances. In response to this challenge, this study uses 2022 order data from Kunming, China, to investigate the usage efficiency of EBS. The non-operating rate, representing the ratio of free time to usage time, is calculated hourly per grid over 31 days. By integrating the Geographically and Temporally Weighted Regression model with a fast acceleration mechanism, this study explores spatiotemporal heterogeneity between the non-operating rate and its determinants. The results show significant spatiotemporal variations in the relationships between built environment, weather, grid flow characteristics and EBS non-operating rates. Notably, the impacts of EBS inflows and outflows exhibit distinct alternations and transforms during peak hours in both urban and suburban areas, particularly pronounced on non-weekdays. Finally, valuable policy recommendations are provided to enhance EBS system efficiency and service quality for both governmental and enterprise stakeholders.

• Record URL:
  • https://doi.org/10.1016/j.trd.2024.104139
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S1361920924000968
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
• Supplemental Notes:
  • © 2024 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Shi, Zhuangbin
  • Wang, Jiaxian
  • Liu, Kai
  • Liu, Yang
  • 0000-0001-7863-9371
  • He, Mingwei
• Publication Date: 2024-4

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 104139
• Serial:
  • Transportation Research Part D: Transport and Environment
  • Volume: 129
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1361-9209
  • Serial URL: http://www.sciencedirect.com/science/journal/13619209

Subject/Index Terms

• TRT Terms: Bicycle travel; Electric bicycles; Spatial analysis; Time periods; Vehicle sharing
• Geographic Terms: Kunming (China)
• Subject Areas: Pedestrians and Bicyclists; Planning and Forecasting;

Filing Info

• Accession Number: 01912763
• Record Type: Publication
• Files: TRIS
• Created Date: Mar 21 2024 1:24PM