@article{608c80334c6d4008bb2e33d4b7c6805f,
title = "A user-operator assignment game with heterogeneous user groups for empirical evaluation of a microtransit service in Luxembourg",
abstract = "We tackle the problem of evaluating the impact of different operation policies on the performance of a microtransit service. This study is the first empirical application using the stable matching modelling framework to evaluate different operation cost allocation and pricing mechanisms on microtransit service. We extend the deterministic stable matching model to a stochastic reliability-based one to consider user{\textquoteright}s heterogeneous perceptions of utility on the service routes. The proposed model is applied to the evaluation of Kussbus microtransit service in Luxembourg. We found that the current Kussbus operation is not a stable outcome. By reducing their route operating costs of 50%, it is expected to increase the ridership of 10%. If Kussbus can reduce in-vehicle travel time on their own by 20%, they can significantly increase profit several folds from the baseline.",
keywords = "Microtransit, assignment game, on-demand mobility, stable matching",
author = "Ma, {Tai Yu} and Chow, {Joseph Y.J.} and Sylvain Klein and Ziyi Ma",
note = "Funding Information: The work was supported by the Luxembourg National Research Fund (INTER/MOBILITY/17/11588252), National Science Foundation grant CMMI-1634973, and C2SMART University Transportation Center. The authors thank the Utopian Future Technologies S.A. (UFT) for providing Kussbus riding data for this research. Particular thanks to Ms. Kimberly Clement for her technical support for the empirical data analysis and to Saeid Rasulkhani for providing the computer program from the previous study and helpful comments. The authors thank the anonymous reviewers for their valuable comments to improve the quality of this study. Funding Information: The work was supported by the Luxembourg National Research Fund (INTER/MOBILITY/17/11588252), National Science Foundation grant CMMI-1634973, and C2SMART University Transportation Center. The work was supported by the Luxembourg National Research Fund (INTER/MOBILITY/17/11588252), National Science Foundation grant CMMI-1634973, and C2SMART University Transportation Center. The authors thank the Utopian Future Technologies S.A. (UFT) for providing Kussbus riding data for this research. Particular thanks to Ms. Kimberly Clement for her technical support for the empirical data analysis and to Saeid Rasulkhani for providing the computer program from the previous study and helpful comments. The authors thank the anonymous reviewers for their valuable comments to improve the quality of this study. Publisher Copyright: {\textcopyright} 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.",
year = "2021",
doi = "10.1080/23249935.2020.1820625",
language = "English (US)",
volume = "17",
pages = "946--973",
journal = "Transportmetrica A: Transport Science",
issn = "2324-9935",
publisher = "Taylor and Francis",
number = "4",
}