Optimal frequency setting of metro services in the age of COVID-19 distancing measures
Optimal frequency setting of metro services in the age of COVID-19 distancing measures
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DOI：
10.1080/23249935.2021.1896593
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发表时间：
2021-03-09
影响因子：
3.3
通讯作者：
Cats, Oded
中科院分区：
文献类型：
--
作者：
Gkiotsalitis, Konstantinos;Cats, Oded
公共交通是2019冠状病毒病大流行最受影响的行业之一，在主要受影响国家，据报乘客量下降高达90%。随着许多政府部门努力部分恢复活动，公共交通运营商迫切需要能够评估不同社交距离政策对运营和乘客相关成本影响的模型。在这项研究中，我们引入了一个混合整数二次规划模型的重新设计的公共交通服务，考虑运营，乘客和收入损失相关的成本，通过评估不同的社会距离政策的影响。我们的模型被应用在地铁网络的华盛顿DC，并提供了最佳的重新分配车辆跨线路不同的社会距离的情况。该模型可作为其他决策者和公共交通运营商的决策支持工具，这些决策者和运营商需要评估与实施不同社交距离政策相关的成本。
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.