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Título: | 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(es): | Barbieri, Diego Maria Lou, Baowen Passavanti, Marco Hui, Cang Lessa, Daniela Antunes Maharaj, Brij Banerjee, Arunabha Wang, Fusong Chang, Kevin Naik, Bhaven Yu, Lei Liu, Zhuangzhuang Sikka, Gaurav Tucker, Andrew Mirhosseini, Ali Foroutan Naseri, Sahra Qiao, Yaning Gupta, Akshay Abbas, Montasir Fang, Kevin Ghasemi, Navid Peprah, Prince Goswami, Shubham Hessami, Amir Agarwal, Nithin Lam, Louisa Adomako, Solomon |
Palavras-chave: | Survey data Travel behavior Modal share Risk perception |
Data do documento: | 2020 |
Referência: | BARBIERI, D. M. et al. 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. Data in Brief, v. 33, 2020. Disponível em: <https://www.sciencedirect.com/science/article/pii/S235234092031341X>. Acesso em: 29 abr. 2022. |
Resumo: | COVID-19 pandemic has heavily impacted the global commu- nity. 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 ques- tionnaire 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 miti- gation 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. |
URI: | http://www.repositorio.ufop.br/jspui/handle/123456789/15503 |
DOI: | https://doi.org/10.1016/j.dib.2020.106459 |
ISSN: | 2352-3409 |
Licença: | This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Fonte: o PDF do artigo. |
Aparece nas coleções: | DECIV - Artigos publicados em periódicos |
Arquivos associados a este item:
Arquivo | Descrição | Tamanho | Formato | |
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ARTIGO_SurveyDatasetEvaluate.pdf | 2,34 MB | Adobe PDF | Visualizar/Abrir |
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