As the COVID-19 pandemic unfolded, the mobility patterns of people worldwide changed drastically. While travel time, the cost of the service, and trip convenience had always influenced mobility, the risk of infection and policy action such as lockdowns and stay-at-home orders emerged as new factors to consider in the mobility calculus. Using SafeGraph mobility data from Minnesota, USA, we demonstrate that businesses and point-of-interest locations in the more affluent zip codes witnessed much sharper reductions in foot traffic than their poorer counterparts. We contend post-pandemic recovery efforts should prioritize relief funding accordingly.
翻译:随着COVID-19大流行的展开,全世界人民的流动模式发生了巨大变化,虽然旅行时间、服务费用和旅行便利总是对流动产生影响,但感染风险和诸如封锁和在家停留等政策行动在流动计算中成为需要考虑的新因素。 我们使用美国明尼苏达州安全Graph移动数据,表明较富裕的拉链码企业和利益点点的徒步交通比较贫穷的同行减少得多。 我们主张大规模后复苏努力应该相应地优先提供救济资金。