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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

Barbieri, DM and Lou, B and Passavanti, M and Hui, C and Lessa, DA and Maharaj, B and Banerjee, A and Wang, F and Chang, K and Naik, B and Yu, L and Liu, Z and Sikka, G and Tucker, A and Foroutan Mirhosseini, A and Naseri, S and Qiao, Y and Gupta, A and Abbas, M and Fang, K and Ghasemi, N and Peprah, P and Goswami, S and Hessami, A and Agarwal, N and Lam, L and Adomako, S (2020) 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. In: Data in Brief, 33 .

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Official URL: https://dx.doi.org/10.1016/j.dib.2020.106459

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. © 2020 The Author(s)

Item Type: Journal Article
Publication: Data in Brief
Publisher: Elsevier Inc.
Additional Information: The copyright of this article belongs to Elsevier Inc.
Department/Centre: Division of Mechanical Sciences > Civil Engineering
Date Deposited: 18 Jan 2021 10:45
Last Modified: 18 Jan 2021 10:45
URI: http://eprints.iisc.ac.in/id/eprint/67293

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