Evidence map›Paper›PMID 37342650›Full record

ArticleTransportation research. Part F, Traffic psychology and behaviour2023

Investigating changes in travel behavior over time in response to the COVID-19 pandemic.

Alireza Rostami, Ehsan Kamjoo, Anshu Bamney, Nischal Gupta, Peter T Savolainen, Ali Zockaie

Abstract read
In one paragraph

Article in Transportation research. Part F, Traffic psychology and behaviour, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

6 authors.

Alireza RostamiMichigan State University, 428 S. Shaw Ln., East Lansing, MI 48824, USA.
Ehsan KamjooMichigan State University, 428 S. Shaw Ln., East Lansing, MI 48824, USA.
Anshu BamneyMichigan State University, 428 S. Shaw Ln., East Lansing, MI 48824, USA.
Nischal GuptaMichigan State University, 428 S. Shaw Ln., East Lansing, MI 48824, USA.
Peter T SavolainenMichigan State University, 428 S. Shaw Ln., East Lansing, MI 48824, USA.
Ali ZockaieMichigan State University, 428 S. Shaw Ln., East Lansing, MI 48824, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has significantly affected travel behavior, including the frequency and mode of travel, with the magnitude and nature of these effects varying over time. This study investigates the nature of these relationships by examining changes in various measures of travel behavior, including weekly driving hours, as well as the frequency of telecommuting, use of ride-sharing services, travel for medical purposes, and use of food delivery services. Self-reported travel data from a representative statewide survey of Michigan residents were used to assess changes in these metrics during the early stages of the pandemic, as well as one year thereafter. Random effects linear regression and ordered logit regression models were estimated and the findings show that various changes in behavior had long-lasting effects, while other behaviors generally reverted back toward pre-pandemic levels. In addition, these changes were found to vary across individuals. For example, significant differences were observed based on socio-demographic characteristics, between urban and rural areas, and amongst individuals with differing views on COVID-19 and related government interventions. In general, the pandemic tended to have less pronounced and sustained effects among younger adults as compared to older age groups. Further, those individuals who were opposed to mandatory COVID-19 vaccines were less likely to change their travel behavior, during both the early and latter stages of the pandemic. Changes were observed consistently across most of the travel metrics of interest. Among these, overall driving hours, travel for medical purposes, and ride-sharing were still lower during the latter stages of the pandemic, while telecommuting and the use of food delivery services reverted nearer to pre-pandemic levels.

Indexed as

COVID-19Driving hoursFood delivery servicesLinear regressionOrdered logit modelRandom effectsRide-sharingTele-commutingTravel behaviorTravel for medical purposes

Identifiers

PMID37342650
PMCPMC10247149

What OpenQuestion holds

Textmetadata
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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.