Impact of working from home on activity-travel behavior during the COVID-19 Pandemic: An aggregate structural analysis.

Impact of working from home on activity-travel behavior during the COVID-19 Pandemic: An aggregate structural analysis.
复制标题

DOI:
10.1016/j.tra.2022.03.003
复制
发表时间:
2022-05
期刊:
Transportation research. Part A, Policy and practice
影响因子:
--
通讯作者:
Ahmed T
Ahmed T
中科院分区:
其他
文献类型:
--
作者:
Rafiq R;McNally MG;Sarwar Uddin Y;Ahmed T

文献摘要

参考文献

被引文献

相似文献

持续的COVID-19大流行引发了重大的公共卫生问题,导致公共和私营部门实施在家工作和在家工作的政策。虽然在家工作是一种传统的但并不常见的行为,但在大流行期间,这种选择的流行显著并迅速加速。这项研究探讨了大流行期间在家工作对活动旅行行为的影响。在大流行期间,工作和非工作活动的参与都有所下降,但这在多大程度上是由于在家工作?在家工作如何影响其他旅行指标,如旅行的人英里数?我们通过开发一个结构回归模型并使用大流行早期的横截面数据来解决这些问题,当时感染曲线是平坦的,活动旅行行为在大流行最初冲击期间观察到的剧烈变化之后变得相对稳定。结合来自马里兰州交通研究所和谷歌移动报告的美国县级数据,我们得出结论,在家工作的人的比例直接取决于大流行的严重程度和相关的公共卫生政策以及一系列社会经济特征。在家工作有助于减少工作场所的访问。它还减少了非工作活动,但只是通过减少与工作有关的非工作活动。最后,一个县在家工作的比例越高,平均人英里数就越少。州政府对遏制和关闭政策的更高程度的反应有助于增加在家工作,减少工作场所和非工作场所的访问和在一个县旅行的人英里。这项研究的结果提供了重要的见解,与在家工作相关的活动旅行行为的变化,作为应对重大中断(如大流行病造成的中断)的策略。
The ongoing COVID-19 pandemic has created significant public health concerns that led the public and private sectors to impose stay-at-home and work-from-home policies. Although working from home has been a conventional albeit infrequent behavior, the prevalence of this option was significantly and rapidly accelerated during the pandemic. This study explored the impacts of working from home on activity-travel behavior during the pandemic. Both work and non-work activity participation declined during the pandemic but to what extent was this due to working from home? How did working from home affect other measures of travel such as person-miles traveled? We approached these questions by developing a Structural Regression model and using cross-sectional data for the early phase of the pandemic when the infection curve was flattened and activity-travel behavior became relatively stable following the drastic changes observed during the pandemic’s initial shock. Combining U.S. county-level data from the Maryland Transportation Institute and Google Mobility Reports, we concluded that the proportion of people working from home directly depended on pandemic severity and associated public health policies as well as on a range of socio-economic characteristics. Working from home contributed to a reduction in workplace visits. It also reduced non-work activities but only via a reduction in non-work activities linked to work. Finally, a higher working from home proportion in a county corresponded to a reduction in average person-miles traveled. A higher degree of state government responses to containment and closure policies contributed to an increase in working from home, and decreases in workplace and non-workplace visits and person-miles traveled in a county. The results of this study provide important insights into changes in activity-travel behavior associated with working from home as a response strategy to major disruptions such as those imposed by a pandemic.
DOI: 10.1080/10705519909540118
发表时间: 1999-01-01
影响因子: 6
作者:
Hu, Li-tze;Bentler, Peter M.
通讯作者: Bentler, Peter M.
DOI: 10.15585/mmwr.mm6946a6
发表时间: 2020-11-20
期刊: MMWR. Morbidity and mortality weekly report
影响因子: --
作者:
通讯作者: --
DOI: 10.1016/j.jtrangeo.2020.102846
发表时间: 2020-10-01
影响因子: 6.1
作者:
Beck, Matthew J.;Hensher, David A.;Wei, Edward
通讯作者: Wei, Edward
DOI: 10.1007/s11116-007-9132-x
发表时间: 2007-09-01
期刊: TRANSPORTATION
影响因子: 4.3
作者:
Cao, Xinyu;Mokhtarian, Patricia L.;Handy, Susan L.
通讯作者: Handy, Susan L.
DOI: 10.1016/j.tranpol.2020.08.004
发表时间: 2020-12-01
期刊: TRANSPORT POLICY
影响因子: 6.8
作者:
Beck, Matthew J.;Hensher, David A.
通讯作者: Hensher, David A.