Park Keunhyun, Singleton Patrick A, Brewer Simon, Zuban Jessica
Department of Forest Resources Management, University of British Columbia, Vancouver BC, Canada.
Department of Civil and Environmental Engineering, Utah State University, Logan, UT.
Transp Res Rec. 2023 Apr;2677(4):448-462. doi: 10.1177/03611981221083606. Epub 2022 May 11.
The COVID-19 pandemic has dramatically altered people's travel behavior, in particular outdoor activities, including walking. Their behavior changes may have prolonged effects after the pandemic, and such changes vary by the context and are related to the characteristics of the built environment. But empirical studies about the relationships between pedestrians and the built environment during the pandemic are lacking. This study explores how COVID-19 and related travel restrictions have affected the relationship between pedestrian traffic volume and the built environment. We estimate daily pedestrian volumes for all signalized intersections in Salt Lake County, Utah, U.S.A., from pedestrian push-button log data between January 2019 and October 2020. Multilevel spatial filtering models show that the COVID-19 pandemic has altered the relationship between pedestrian traffic volume and the built environment. During the pandemic, the higher the number of COVID-19 cases, the less (or more negative) the effects of density, street connectivity, and destination accessibility on pedestrian volume being observed. The exception is access to urban parks, as it became more significant in increasing pedestrian activities during the pandemic. The models also highlight the negative impacts of the pandemic in economically disadvantaged areas. Our findings could help urban and transportation planners find effective interventions to promote active transportation and physical activity amid the global pandemic.
新冠疫情极大地改变了人们的出行行为,尤其是户外活动,包括步行。疫情过后,人们的行为变化可能会产生长期影响,而且这种变化因环境而异,并与建成环境的特征相关。但目前缺乏关于疫情期间行人与建成环境之间关系的实证研究。本研究探讨了新冠疫情及相关出行限制如何影响行人交通量与建成环境之间的关系。我们根据2019年1月至2020年10月期间行人按钮日志数据,估算了美国犹他州盐湖县所有信号控制交叉口的每日行人交通量。多层次空间过滤模型表明,新冠疫情改变了行人交通量与建成环境之间的关系。在疫情期间,新冠病例数越高,密度、街道连通性和目的地可达性对行人交通量的影响就越小(或越负面)。唯一的例外是城市公园的可达性,因为在疫情期间它对增加行人活动变得更加重要。这些模型还凸显了疫情对经济弱势地区的负面影响。我们的研究结果可以帮助城市和交通规划者找到有效的干预措施,以在全球疫情期间促进积极出行和体育活动。