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

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

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)577-595
Number of pages19
JournalEuropean Journal of Operational Research
Issue number2
Publication statusPublished - Jan 16 2023


  • Decision analysis
  • Pareto front
  • Ride-sharing
  • Service supply chain
  • Sustainability

ASJC Scopus subject areas

  • Information Systems and Management
  • General Computer Science
  • Modelling and Simulation
  • Management Science and Operations Research


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