Public transport is one of the most disrupted sectors of the COVID-19 pandemic with reported ridership drops up to 90% in majorly affected countries. As many government authorities strive to partially resume activities, public transport operators are in an urgent need for models that can evaluate the impact of different social distancing policies on operational and passenger-related costs. In this study, we introduce a mixed-integer quadratic programming model for the redesign of public transport services considering the operational, passenger, and revenue loss-related costs by evaluating the effects of different social distancing policies. Our model is applied at the metro network of Washington DC and provides optimal redistribution of vehicles across lines for different social distancing scenarios. This model can be used as a decision support tool by other policymakers and public transport operators that are in need of evaluating the costs related to the implementation of different social distancing policies.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Optimal frequency setting of metro services in the age of COVID-19 distancing measures


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    2022-12-02


    Format / Umfang :

    21 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Reshaping metro station spaces to improve social distancing during COVID-19 pandemic

    Calcagno, Pietro / Consilvio, Alice / Febbraro, Angela Di et al. | IEEE | 2021


    Pedestrian Physical-Distancing Strategies During COVID-19

    Greenslade, Georgette E. / MacGregor, Carolyn G. / Chang, Ai Ching | Springer Verlag | 2021



    Interactive COVID-19 Mobility Impact and Social Distancing Analysis Platform

    Zhang, Lei / Darzi, Aref / Ghader, Sepehr et al. | Transportation Research Record | 2021


    Best Practices in Operating High Frequency Metro Services

    Canavan, Shane / Barron, Alexander / Cohen, Judith et al. | Transportation Research Record | 2019