Wilbur Michael, Ayman Afiya, Sivagnanam Amutheezan, Ouyang Anna, Poon Vincent, Kabir Riyan, Vadali Abhiram, Pugliese Philip, Freudberg Daniel, Laszka Aron, Dubey Abhishek
Vanderbilt University, Nashville, TN.
University of Houston, Houston, TX.
Transp Res Rec. 2023 Apr;2677(4):531-546. doi: 10.1177/03611981231160531. Epub 2023 Apr 15.
COVID-19 has radically transformed urban travel behavior throughout the world. Agencies have had to provide adequate service while navigating a rapidly changing environment with reduced revenue. As COVID-19-related restrictions are lifted, transit agencies are concerned about their ability to adapt to changes in ridership behavior and public transit usage. To aid their becoming more adaptive to sudden or persistent shifts in ridership, we addressed three questions: To what degree has COVID-19 affected fixed-line public transit ridership and what is the relationship between reduced demand and -vehicle trips? How has COVID-19 changed ridership patterns and are they expected to persist after restrictions are lifted? Are there disparities in ridership changes across socioeconomic groups and mobility-impaired riders? Focusing on Nashville and Chattanooga, TN, ridership demand and vehicle trips were compared with anonymized mobile location data to study the relationship between mobility patterns and transit usage. Correlation analysis and multiple linear regression were used to investigate the relationship between socioeconomic indicators and changes in transit ridership, and an analysis of changes in paratransit demand before and during COVID-19. Ridership initially dropped by 66% and 65% over the first month of the pandemic for Nashville and Chattanooga, respectively. Cellular mobility patterns in Chattanooga indicated that foot traffic recovered to a greater degree than transit ridership between mid-April and the last week in June, 2020. Education-level had a statistically significant impact on changes in fixed-line bus transit, and the distribution of changes in demand for paratransit services were similar to those of fixed-line bus transit.
新冠疫情彻底改变了全球城市的出行行为。各交通机构在收入减少、环境迅速变化的情况下,仍需提供充足的服务。随着与新冠疫情相关的限制措施解除,公交机构担心自身能否适应乘客出行行为和公共交通使用情况的变化。为帮助它们更好地适应乘客数量的突然或持续变化,我们提出了三个问题:新冠疫情对固定线路公共交通的乘客数量影响程度如何,需求减少与车辆出行之间的关系是怎样的?新冠疫情如何改变了乘客出行模式,限制措施解除后这些模式是否会持续?不同社会经济群体和行动不便乘客的乘客数量变化是否存在差异?以田纳西州的纳什维尔和查塔努加为重点,将乘客需求和车辆出行与匿名移动位置数据进行比较,以研究出行模式与公交使用之间的关系。采用相关分析和多元线性回归来研究社会经济指标与公交乘客数量变化之间的关系,以及分析新冠疫情之前和期间的非固定线路公交需求变化。在疫情的第一个月,纳什维尔和查塔努加的乘客数量最初分别下降了66%和65%。查塔努加的手机移动模式表明,在2020年4月中旬至6月最后一周期间,步行流量的恢复程度高于公交乘客数量。教育水平对固定线路公交的变化有统计学上的显著影响,非固定线路公交服务需求变化的分布与固定线路公交类似。