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Modelling and analysis of online ride-sharing platforms – A sustainability perspective

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  • Guo, Yuhan
  • Zhang, Yu
  • Boulaksil, Youssef
  • Qian, Yaguan
  • Allaoui, Hamid

Abstract

By directly connecting passengers and private transportation service providers, online ride-sharing platforms reduce the number of intermediaries and improve the utilization of transportation resources. In addition to economic benefits, ride-sharing could provide environmental and social advantages. This paper studies a sustainability-oriented operational model for online ride-sharing platforms. We develop a holistic multi-objective mathematical model considering important indicators of the triple-bottom-line and examine its effects on the dispatching strategy. An effective method has been introduced to solve the model, as well as an approach to efficiently generate the Pareto front. Moreover, we validate the model and the solution methods through an extensive case study with different scenarios based on large-scale real-world data. We study the correlation among the objectives and analyse their variation trends when adjusting the influential factors. Finally, in this paper, useful managerial insights are provided for decision-makers of the platforms, such as how to balance the triple-bottom-line in a smart way.

Suggested Citation

  • Guo, Yuhan & Zhang, Yu & Boulaksil, Youssef & Qian, Yaguan & Allaoui, Hamid, 2023. "Modelling and analysis of online ride-sharing platforms – A sustainability perspective," European Journal of Operational Research, Elsevier, vol. 304(2), pages 577-595.
    • Handle: RePEc:eee:ejores:v:304:y:2023:i:2:p:577-595
    DOI: 10.1016/j.ejor.2022.04.035
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    2. Alamoudi, Hawazen & Shaikh, Aijaz A. & Alharthi, Majed & Dash, Ganesh, 2023. "With great power comes great responsibilities – Examining platform-based mechanisms and institutional trust in rideshare services," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
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