2021
DOI: 10.1080/23249935.2021.1896593
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Optimal frequency setting of metro services in the age of COVID-19 distancing measures

Abstract: 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 cons… Show more

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Cited by 41 publications
(34 citation statements)
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“…Maintaining social distancing can be achieved by means of a combination of measures. At the strategic level, decisions about the modification of public transport stops (e.g., stop closures) have been implemented [14]. Transport for London and Washington Metro are just two of the public transport authorities/service providers that decided to close specific public transport stations to avoid overcrowding beyond the COVID-19 capacity limit.…”
Section: Literature Reviewmentioning
confidence: 99%
See 4 more Smart Citations
“…Maintaining social distancing can be achieved by means of a combination of measures. At the strategic level, decisions about the modification of public transport stops (e.g., stop closures) have been implemented [14]. Transport for London and Washington Metro are just two of the public transport authorities/service providers that decided to close specific public transport stations to avoid overcrowding beyond the COVID-19 capacity limit.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Furthermore, closely related to this study is the work of Gkiotsalitis and Cats [14]. Gkiotsalitis and Cats [14] proposed a network-wide frequency setting model considering social distancing to find the optimal allocation of vehicles over the lines and the corresponding headways. The objective is to minimize the revenue loss while also considering the passengers' average waiting time.…”
Section: Literature Reviewmentioning
confidence: 99%
See 3 more Smart Citations