A stochastic user-operator assignment game for microtransit service evaluation: A case study of Kussbus in Luxembourg

Tai-Yu Ma, Joseph Y.J. Chow, Sylvain Klein, Ziyi Ma

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


This paper proposes a stochastic variant of the stable matching model from Rasulkhani and Chow [1] which allows microtransit operators to evaluate their operation policy and resource allocations. The proposed model takes into account the stochastic nature of users’ travel utility perception, resulting in a probabilistic stable operation cost allocation outcome to design ticket price and ridership forecasting. We applied the model for the operation policy evaluation of a microtransit service in Luxembourg and its border area. The methodology for the model parameters estimation and calibration is developed. The results provide useful insights for the operator and the government to improve the ridership of the service.
Original languageEnglish
Title of host publication2020 Forum on Integrated and Sustainable Transportation Systems (FISTS)
Place of PublicationDelft
PublisherIEEE (Institute of Electrical and Electronics Engineers)
Publication statusPublished - 24 Nov 2020


  • Resource management
  • Transportation
  • Mathematical model
  • Stochastic processes
  • Games
  • Urban areas
  • Pricing

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