Understanding travel behavior adjustment under COVID-19

IF 12.5 Q1 TRANSPORTATION
Wenbin Yao , Jinqiang Yu , Ying Yang , Nuo Chen , Sheng Jin , Youwei Hu , Congcong Bai
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引用次数: 21

Abstract

The outbreak and spreading of the COVID-19 pandemic have had a significant impact on transportation system. By analyzing the impact of the pandemic on the transportation system, the impact of the pandemic on the social economy can be reflected to a certain extent, and the effect of anti-pandemic policy implementation can also be evaluated. In addition, the analysis results are expected to provide support for policy optimization. Currently, most of the relevant studies analyze the impact of the pandemic on the overall transportation system from the macro perspective, while few studies quantitatively analyze the impact of the pandemic on individual spatiotemporal travel behavior. Based on the license plate recognition (LPR) data, this paper analyzes the spatiotemporal travel patterns of travelers in each stage of the pandemic progress, quantifies the change of travelers' spatiotemporal behaviors, and analyzes the adjustment of travelers' behaviors under the influence of the pandemic. There are three different behavior adjustment strategies under the influence of the pandemic, and the behavior adjustment is related to the individual's past travel habits. The paper quantitatively assesses the impact of the COVID-19 pandemic on individual travel behavior. And the method proposed in this paper can be used to quantitatively assess the impact of any long-term emergency on individual micro travel behavior.

了解新冠肺炎疫情下的出行行为调整
COVID-19大流行的爆发和传播对交通系统产生了重大影响。通过分析大流行对交通系统的影响,可以在一定程度上反映大流行对社会经济的影响,也可以评估抗大流行政策实施的效果。此外,分析结果有望为政策优化提供支持。目前,相关研究多从宏观角度分析大流行对整体交通系统的影响,很少有研究定量分析大流行对个体时空出行行为的影响。基于车牌识别(LPR)数据,分析了大流行进程各阶段出行者的时空出行模式,量化出行者时空行为的变化,分析了大流行影响下出行者行为的调整。大流行影响下存在三种不同的行为调整策略,行为调整与个体过去的旅行习惯有关。本文定量评估了新冠肺炎疫情对个人出行行为的影响。本文提出的方法可以定量评估任何长期突发事件对个体微出行行为的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
15.20
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