During COVID-19 lockdowns, transit agencies need to respond to the decline in travel but also maintain the essential mobility of transit-dependent people. However, there are a few lessons that scholars and practitioners can learn from. Using highway traffic data in the Twin Cities, this study applies a generalized additive model to explore the relationships among the share of low-income population, transit service, and highway traffic during the week that occurred right after the 2020 stay-at-home order. Our results substantiate that transportation impacts are spread unevenly across different income groups and low-income people are less able to reduce travel, leading to equity concerns. Moreover, transit supply influences highway traffic differently in areas with different shares of low-income people. Our study suggests that transportation agencies should provide more affordable travel options for areas with concentrated poverty during lockdowns. In addition, transit agencies should manage transit supply strategically depending on the share of low-income people to better meet people’s mobility needs.

中文翻译：

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探索 COVID-19 封锁期间贫困集中度和过境服务对公路交通的交互作用

在 COVID-19 封锁期间，交通机构需要应对旅行的下降，但也要保持依赖交通的人的基本流动性。但是，学者和从业者可以从中吸取一些教训。本研究使用双子城的高速公路交通数据，应用广义加性模型来探索 2020 年居家令后一周内低收入人口的份额、公交服务和高速公路交通之间的关系. 我们的研究结果证实，交通影响在不同收入群体之间分布不均，低收入人群减少出行的能力较差，导致了公平问题。此外，在低收入人口比例不同的地区，公共交通供应对公路交通的影响也不同。我们的研究表明，交通机构应在封锁期间为贫困集中的地区提供更实惠的旅行选择。此外，公交机构应根据低收入人群的比例，战略性地管理公交供应，以更好地满足人们的出行需求。