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Spatial-temporal heterogeneity of shared mobility: a comparison between ride-hailing and bike-sharing usage pattern

Author

Listed:
  • Boqing Wang
  • Min Yang
  • Enhui Chen
  • Long Cheng
  • Xiaoyu Xue
  • Jiajun Li

Abstract

Understanding the spatiotemporal heterogeneity of shared mobility is essential for the development of sustainable transportation systems. However, there is a notable lack of comprehensive research examining the differences in spatiotemporal heterogeneity between ride-hailing and bike-sharing ridership. This study seeks to fill this gap by analyzing order data to investigate the patterns of ridership for both ride-hailing and bike-sharing services. By applying Geographically and Temporally Weighted Regression and the Herfindahl-Hirschman Index, the study uncovers the characteristics of spatiotemporal distribution and the factors influencing these patterns. The findings indicate that road network density, transit accessibility, and commercial land use have a significant impact on both ride-hailing and bike-sharing ridership. Additionally, the analysis reveals that bike-sharing ridership exhibits strong tidal and spatial aggregation effects, whereas ride-hailing demand shows considerable spatial heterogeneity. The insights derived from this study are crucial for policy-making and decision-making processes aimed at promoting shared mobility systems.

Suggested Citation

  • Boqing Wang & Min Yang & Enhui Chen & Long Cheng & Xiaoyu Xue & Jiajun Li, 2026. "Spatial-temporal heterogeneity of shared mobility: a comparison between ride-hailing and bike-sharing usage pattern," Transportation Planning and Technology, Taylor & Francis Journals, vol. 49(4), pages 711-731, May.
    • Handle: RePEc:taf:transp:v:49:y:2026:i:4:p:711-731
    DOI: 10.1080/03081060.2025.2462058
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