论文标题
Covid-19距离措施时代的地铁服务的最佳频率设置
Optimal frequency setting of metro services in the age of COVID-19 distancing measures
论文作者
论文摘要
公共交通是Covid-19-19的大流行最受破坏的部门之一，据报道，主要受影响的国家的乘客量下降了90％。由于许多政府当局努力进行部分恢复活动，因此公共交通运营商迫切需要模型，这些模型可以评估不同的社会距离政策对运营和乘客相关成本的影响。在这项研究中，我们通过评估不同社会疏远政策的影响，介绍了考虑运营，乘客和收入相关的运营，乘客和收入损失相关的成本的混合二次编程模型，以重新设计公共交通服务。我们的模型应用于华盛顿特区的Metro网络，并为不同的社会距离场景提供了跨线的最佳重新分配。该模型可以用其他决策者和公共交通运营商用作决策支持工具，这些决策者需要评估与实施不同社会疏远政策相关的成本。
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 D.C. 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.
