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Research on commuters’ carpooling behavior in the mobile internet context

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  • Yi, Xu
  • Lian, Feng
  • Yang, Zhongzhen

Abstract

The real-time sharing of information through mobile internet facilitates and increases demand for carpool commuting. In this study, information asymmetries are transformed into psychological costs to passengers and drivers; then, the psychological and other physical costs are integrated into a generalized travel cost. Logit and Nested logit models are used to analyze commuters' mode choices and to determine the densities of carpooling demand. The success rates of carpools across different demand densities are estimated using cooperative game theory, and carpool trips, driver pick-up distances, passenger wait times, and changes in the modal splits of commutes are calculated. Ningbo City, China is taken as an example for numerical analysis. Based on data from our survey and orders from more than ten OCH platforms, the growth trend of carpooling can be forecast., The results show that, due to mobile internet, the probabilities that drivers and passengers are willing to carpool increases from 19% and 15% to 28% and 20%, respectively. Simultaneously, the average pick-up distance of drivers declines to 2.9 km, and passengers' average wait time to 9 min and 24 s. The actual mode shares of carpooling for drivers and passengers increase to 20% and 17%, respectively. Carpool commuting thus exhibits a significant potential for growth through mobile internet.

Suggested Citation

  • Yi, Xu & Lian, Feng & Yang, Zhongzhen, 2022. "Research on commuters’ carpooling behavior in the mobile internet context," Transport Policy, Elsevier, vol. 126(C), pages 14-25.
    • Handle: RePEc:eee:trapol:v:126:y:2022:i:c:p:14-25
    DOI: 10.1016/j.tranpol.2022.06.016
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