Evidence map›Paper›PMID 35308087›Full record

ArticleTransportation research. Part A, Policy and practice2022

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

Rezwana Rafiq, Michael G McNally, Yusuf Sarwar Uddin, Tanjeeb Ahmed

Abstract read
In one paragraph

Article in Transportation research. Part A, Policy and practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Investigating changes in travel behavior over time in response to the COVID-19 pandemic.Transportation research. Part F, Traffic psychology and behaviour · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. How Does City Size Affect the Cost of Household Travel? Evidence from an Urban Household Survey in China.International journal of environmental research and public health · 2022
    Article
  13. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Rezwana RafiqInstitute of Transportation Studies, University of California, Irvine, CA 92697-3600, USA.
Michael G McNallyDepartment of Civil & Environmental Engineering, University of California, Irvine, CA 92697-3600, USA.
Yusuf Sarwar UddinDepartment of Computer Science and Electrical Engineering, University of Missouri-Kansas City, MO 64110, USA.
Tanjeeb AhmedInstitute of Transportation Studies, University of California, Irvine, CA 92697-3600, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Activity-travelCOVID-19 pandemicGoogle mobility reportPerson-miles traveledStructural equation modelingTelecommutingWorking from home

Identifiers

PMID35308087
PMCPMC8919854

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.