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
| Autor: | Solomon Adomako, Baowen Lou, Gaurav Sikka, Navid Ghasemi, Montasir M Abbas, Andrew Tucker, Zhuangzhuang Liu, Brij Maharaj, Yaning Qiao, Nithin Agarwal, Shubham Goswami, Akshay Gupta, Diego Maria Barbieri, Cang Hui, Louisa Lam, Sahra Naseri, Lei Yu, Arunabha Banerjee, Marco Passavanti, Kevin Chang, Amir Hessami, Daniela Antunes Lessa, Ali Foroutan Mirhosseini, Prince Peprah, Fusong Wang, Bhaven Naik, Kevin Fang |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Risk perception
Travel behavior Modal share Transportation Computer-assisted web interviewing lcsh:Computer applications to medicine. Medical informatics 03 medical and health sciences 0302 clinical medicine Survey data Pandemic Socioeconomics China Enforcement lcsh:Science (General) Socioeconomic status Data Article 030304 developmental biology Mobility 0303 health sciences Multidisciplinary COVID-19 VDP::Teknologi: 500 Geography Survey data collection lcsh:R858-859.7 030217 neurology & neurosurgery lcsh:Q1-390 |
| Zdroj: | Data in Brief, Vol 33, Iss, Pp 106459-(2020) Data in Brief |
| ISSN: | 2352-3409 |
| 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: | OpenAIRE |
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