Ziedan Abubakr, Lima Luiz, Brakewood Candace
Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, 851 Neyland Drive, Knoxville, TN 37996, United States.
Department of Economics, University of Tennessee, Knoxville, 527C Stokely Management Center, Knoxville TN 37996, United States.
Transp Res Part A Policy Pract. 2023 Jul;173:103718. doi: 10.1016/j.tra.2023.103718. Epub 2023 May 18.
The COVID-19 pandemic has resulted in major consequences for many aspects of human life and the broader economy. Many transportation modes were severely impacted, including public transportation. During the early months of the pandemic in 2020, transit ridership dropped to unprecedented levels. Even by the end of 2022, bus ridership in the United States had not recovered to pre-pandemic levels. Despite the longstanding effects on public transportation, the direct and indirect impacts of the COVID-19 pandemic on bus ridership are largely unknown. In the context of this study, the direct impact refers to a change in travel behavior (i.e., due to the increased spread of COVID-19), while the indirect impact refers to reduced ridership due to factors such as lower employment or increased teleworking. This study proposes a framework to explore the drivers of transit ridership declines during COVID-19. The method is a multiple mediation analysis to estimate the monthly direct and indirect impacts of COVID-19 on bus ridership from March 2020 to December 2021. The results of this study revealed that three mediators (employment, telework, and people relocating) mediated about 13% to 38% of the total decline in bus ridership during the analysis period. The multiple mediation approach used in this study could be applied in many other transportation applications.
新冠疫情给人类生活的诸多方面以及更广泛的经济带来了重大影响。许多交通方式都受到了严重冲击,包括公共交通。在2020年疫情的最初几个月,公共交通客流量降至前所未有的水平。即使到2022年底,美国的公交客流量仍未恢复到疫情前的水平。尽管疫情对公共交通产生了长期影响,但新冠疫情对公交客流量的直接和间接影响在很大程度上仍不为人知。在本研究的背景下,直接影响是指出行行为的变化(即由于新冠疫情传播加剧),而间接影响是指由于就业减少或远程办公增加等因素导致的客流量下降。本研究提出了一个框架,以探讨新冠疫情期间公共交通客流量下降的驱动因素。该方法是一种多重中介分析,用于估计2020年3月至2021年12月新冠疫情对公交客流量的月度直接和间接影响。本研究结果显示,在分析期内,三个中介因素(就业、远程办公和人员搬迁)介导了公交客流量总下降的约13%至38%。本研究中使用的多重中介方法可应用于许多其他交通应用场景。