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An evaluation of the fairness of railway timetable rescheduling in the presence of competition between train operators

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An evaluation of the fairness of railway timetable rescheduling in the presence of competition between train operators. / Reynolds, Edwin; Ehrgott, Matthias; Wang, Judith Y.T.
In: Journal of Rail Transport Planning & Management, Vol. 26, 100389, 30.06.2023.

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Reynolds E, Ehrgott M, Wang JYT. An evaluation of the fairness of railway timetable rescheduling in the presence of competition between train operators. Journal of Rail Transport Planning & Management. 2023 Jun 30;26:100389. Epub 2023 May 2. doi: 10.1016/j.jrtpm.2023.100389

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Bibtex

@article{9bcc79fc4425419ca66dfd70f819fa2e,
title = "An evaluation of the fairness of railway timetable rescheduling in the presence of competition between train operators",
abstract = "Using the output of optimisation models to make real-time changes to railway timetables can be an effective way to reduce the propagation of delay. In this study, we develop a methodology for evaluating the fairness of such optimisation models with respect to competing train operators. Whilst both fairness and optimisation-based railway timetable rescheduling have both been widely studied, they have not previously been studied together. We propose definitions of fairness and efficiency for timetable rescheduling, and analyse the fairness of efficiency-maximising solutions for a case study with seven train operators. We also investigate the pairwise trade-offs between operators and show that the priority given to different train classes has an important impact on fairness.",
keywords = "Railway optimisation, Fairness, Timetable rescheduling",
author = "Edwin Reynolds and Matthias Ehrgott and Wang, {Judith Y.T.}",
year = "2023",
month = jun,
day = "30",
doi = "10.1016/j.jrtpm.2023.100389",
language = "English",
volume = "26",
journal = "Journal of Rail Transport Planning & Management",
issn = "2210-9706",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - An evaluation of the fairness of railway timetable rescheduling in the presence of competition between train operators

AU - Reynolds, Edwin

AU - Ehrgott, Matthias

AU - Wang, Judith Y.T.

PY - 2023/6/30

Y1 - 2023/6/30

N2 - Using the output of optimisation models to make real-time changes to railway timetables can be an effective way to reduce the propagation of delay. In this study, we develop a methodology for evaluating the fairness of such optimisation models with respect to competing train operators. Whilst both fairness and optimisation-based railway timetable rescheduling have both been widely studied, they have not previously been studied together. We propose definitions of fairness and efficiency for timetable rescheduling, and analyse the fairness of efficiency-maximising solutions for a case study with seven train operators. We also investigate the pairwise trade-offs between operators and show that the priority given to different train classes has an important impact on fairness.

AB - Using the output of optimisation models to make real-time changes to railway timetables can be an effective way to reduce the propagation of delay. In this study, we develop a methodology for evaluating the fairness of such optimisation models with respect to competing train operators. Whilst both fairness and optimisation-based railway timetable rescheduling have both been widely studied, they have not previously been studied together. We propose definitions of fairness and efficiency for timetable rescheduling, and analyse the fairness of efficiency-maximising solutions for a case study with seven train operators. We also investigate the pairwise trade-offs between operators and show that the priority given to different train classes has an important impact on fairness.

KW - Railway optimisation

KW - Fairness

KW - Timetable rescheduling

U2 - 10.1016/j.jrtpm.2023.100389

DO - 10.1016/j.jrtpm.2023.100389

M3 - Journal article

VL - 26

JO - Journal of Rail Transport Planning & Management

JF - Journal of Rail Transport Planning & Management

SN - 2210-9706

M1 - 100389

ER -