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Exploring the operational performance discrepancies between online ridesplitting and carpooling transportation modes based on DiDi data

Author

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  • Haoran Chen

    (Beijing Jiaotong University)

  • Xuedong Yan

    (Beijing Jiaotong University)

  • Xiaobing Liu

    (Beijing Jiaotong University)

  • Tao Ma

    (Technical University of Munich)

Abstract

With the popularization of Internet technologies and shared mobility services, online ridesharing has developed rapidly in numerous cities worldwide. However, perhaps owing to the lack of empirical data, there is a lack of comprehensive and comparative studies on the two major online ridesharing modes, namely, ridesplitting and carpooling, vis-à-vis operational performance discrepancies. Thus, we conduct an empirical study using the massive amount of actual operating data provided by DiDi Chuxing. Based on an analysis of the operating characteristics of ridesplitting and carpooling, this study proposes an approach to estimate ridesharing fuel-saving and distance-saving performance by combining the vehicle operating information and fuel economy indicators of various transportation modes. Furthermore, the operational performance discrepancies between the two major ridesharing modes are compared through an analysis of the user characteristics and interactive effects between ridesharing and subway systems. The results show that the average fuel-saving and distance-saving ratios of ridesplitting are lower than those of carpooling. From the perspective of the transportation system’s fuel economy, ridesharing is not considered to be fuel-saving, and its scale should be reasonably regulated. According to driver classification, carpooling is more suitable for commuting and intercity transportation. In addition, ridesplitting and carpooling can be employed as feeders into subway networks in suburban areas. These findings are believed likely to be beneficial for facilitating the sustainable and standardized development of these two ridesharing modes.

Suggested Citation

  • Haoran Chen & Xuedong Yan & Xiaobing Liu & Tao Ma, 2023. "Exploring the operational performance discrepancies between online ridesplitting and carpooling transportation modes based on DiDi data," Transportation, Springer, vol. 50(5), pages 1923-1958, October.
    • Handle: RePEc:kap:transp:v:50:y:2023:i:5:d:10.1007_s11116-022-10297-6
    DOI: 10.1007/s11116-022-10297-6
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    1. Xiao, Lin & Wu, Jiyan & Sun, Jian & Tian, Ye, 2024. "Money is power: Carpooling stimulus with evidence from an interactive long-term laboratory experiment," Transport Policy, Elsevier, vol. 152(C), pages 55-70.

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