| Autor: |
Diego Maria Barbieri, Baowen Lou, Marco Passavanti, Cang Hui, Daniela Antunes Lessa, Brij Maharaj, Arunabha Banerjee, Fusong Wang, Kevin Chang, Bhaven Naik, Lei Yu, Zhuangzhuang Liu, Gaurav Sikka, Andrew Tucker, Ali Foroutan Mirhosseini, Sahra Naseri, Yaning Qiao, Akshay Gupta, Montasir Abbas, Kevin Fang, Navid Ghasemi, Prince Peprah, Shubham Goswami, Amir Hessami, Nithin Agarwal, Louisa Lam, Solomon Adomako |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Data in Brief, Vol 33, Iss , Pp 106459- (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2352-3409 |
| DOI: |
10.1016/j.dib.2020.106459 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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