TY - JOUR
T1 - 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
AU - Barbieri, Diego Maria
AU - Lou, Baowen
AU - Passavanti, Marco
AU - Hui, Cang
AU - Lessa, Daniela Antunes
AU - Maharaj, Brij
AU - Banerjee, Arunabha
AU - Wang, Fusong
AU - Chang, Kevin
AU - Naik, Bhaven
AU - Yu, Lei
AU - Liu, Zhuangzhuang
AU - Sikka, Gaurav
AU - Tucker, Andrew
AU - Foroutan Mirhosseini, Ali
AU - Naseri, Sahra
AU - Qiao, Yaning
AU - Gupta, Akshay
AU - Abbas, Montasir
AU - Fang, Kevin
AU - Ghasemi, Navid
AU - Peprah, Prince
AU - Goswami, Shubham
AU - Hessami, Amir
AU - Agarwal, Nithin
AU - Lam, Louisa
AU - Adomako, Solomon
N1 - Copyright the Author(s) 2020. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.
PY - 2020/12
Y1 - 2020/12
N2 - 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.
AB - 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.
KW - COVID-19
KW - Mobility
KW - Modal share
KW - Risk perception
KW - Survey data
KW - Transportation
KW - Travel behavior
UR - http://www.scopus.com/inward/record.url?scp=85094558967&partnerID=8YFLogxK
U2 - 10.1016/j.dib.2020.106459
DO - 10.1016/j.dib.2020.106459
M3 - Article
C2 - 33163599
AN - SCOPUS:85094558967
SN - 2352-3409
VL - 33
SP - 1
EP - 13
JO - Data in Brief
JF - Data in Brief
M1 - 106459
ER -