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A survey dataset to evaluate the changes in mobility and transportation due to COVID-19 travel restrictions in Australia, Brazil, China, Ghana, India, Iran, Italy, Norway, South Africa, United States.

Authors :
Barbieri DM
Lou B
Passavanti M
Hui C
Lessa DA
Maharaj B
Banerjee A
Wang F
Chang K
Naik B
Yu L
Liu Z
Sikka G
Tucker A
Foroutan Mirhosseini A
Naseri S
Qiao Y
Gupta A
Abbas M
Fang K
Ghasemi N
Peprah P
Goswami S
Hessami A
Agarwal N
Lam L
Adomako S
Source :
Data in brief [Data Brief] 2020 Oct 24; Vol. 33, pp. 106459. Date of Electronic Publication: 2020 Oct 24 (Print Publication: 2020).
Publication Year :
2020

Abstract

COVID-19 pandemic has heavily impacted the global community. To curb the viral transmission, travel restrictions have been enforced across the world. The dataset documents the mobility disruptions and the modal shifts that have occurred as a consequence of the restrictive measures implemented in ten countries: Australia, Brazil, China, Ghana, India, Iran, Italy, Norway, South Africa and the United States. An online questionnaire was distributed during the period from the 11st to the 31st of May 2020, with a total of 9 394 respondents. The first part of the survey has characterized the frequency of use of all transport modes before and during the enforcement of the restrictions, while the second part of the survey has dealt with perceived risks of contracting COVID-19 from different transport modes and perceived effectiveness of travel mitigation measures. Overall, the dataset (stored in a repository publicly available) can be conveniently used to quantify and understand the modal shifts and people's cognitive behavior towards travel due to COVID-19. The collected responses can be further analysed by considering other demographic and socioeconomic covariates.<br />Competing Interests: This research has not received any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. The authors declare that they have no known competing financial interests or personal relationships which have or could be perceived to have influenced the work reported in this article.<br /> (© 2020 The Author(s).)

Details

Language :
English
ISSN :
2352-3409
Volume :
33
Database :
MEDLINE
Journal :
Data in brief
Publication Type :
Academic Journal
Accession number :
33163599
Full Text :
https://doi.org/10.1016/j.dib.2020.106459