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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, 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; Foroutan Mirhosseini, Ali; Naseri, Sahra; Qiao, Yaning; Gupta, Akshay; Abbas, Montasir; Fang, Kevin; Ghasemi, Navid; Peprah, Prince; Goswami, Shubham; Hessami, Amir; Agarwal, Nithin; Lam, Louisa; Adomako, Solomon.
  • Barbieri DM; Department of Civil and Environmental Engineering, Norwegian University of Science and Technology, Høgskoleringen 7A, Trondheim, 7491, Trøndelag, Norway.
  • Lou B; Chang'an University, School of Highway, Nan Er Huan Road (Mid-section), Xi'an, 710064, Shaanxi, China.
  • Passavanti M; Italian Society of Cognitive Behavioral Therapy (CBT-Italy), Mannelli St. 139, Florence, 50132, Toscana, Italy.
  • Hui C; Centre for Invasion Biology, Department of Mathematical Sciences, Stellenbosch University, Matieland, 7602, South Africa.
  • Lessa DA; Biodiversity Informatics Unit, African Institute for Mathematical Sciences, Cape Town 7945, South Africa.
  • Maharaj B; Department of Civil Engineering, Federal University of Ouro Preto, Rua Nove, Bauxita, Ouro Preto, 35400-000, Minas Gerais, Brazil.
  • Banerjee A; Department of Geography, University of KwaZulu-Natal, Howard College City, Durban, 4000, KwaZulu, South Africa.
  • Wang F; Department of Civil Engineering, Indian Institute of Technology Guwahati, IIT Guwahati, Guwahati, 781039, Assam, India.
  • Chang K; State Key Laboratory of Silicate Materials for Architectures, Wuhan University of Technology, Luoshi road 122, Wuhan, 430070, Hubei, China.
  • Naik B; Department of Civil and Environmental Engineering, University of Idaho, 875 Perimeter Drive, Mailstop 1022, Moscow, 83844, Idaho, United States.
  • Yu L; Department of Civil Engineering/Russ College of Engineering & Technology, Ohio University, 28 W. Green Drive, Athens, 45701, Ohio, United States.
  • Liu Z; Sun Yat-sen University, School of Civil Engineering, Xingang Xi Road 135, Guangzhou, 510275, Guangdong, China.
  • Sikka G; Chang'an University, School of Highway, Nan Er Huan Road (Mid-section), Xi'an, 710064, Shaanxi, China.
  • Tucker A; Department of Geography, Lalit Narayan Mithila University, Darbhanga, 846004, Bihar, India.
  • Foroutan Mirhosseini A; University of Connecticut, Connecticut Transportation Safety Research Center, 270 Middle Turnpike, Unit 5202 Longley Building, Storrs, 06269, Connecticut, United States.
  • Naseri S; Department of Civil and Environmental Engineering, Norwegian University of Science and Technology, Høgskoleringen 7A, Trondheim, 7491, Trøndelag, Norway.
  • Qiao Y; Bam University of Medical Sciences, School of Medicine, Bam, 76615-336, Kerman, Iran.
  • Gupta A; China University of Mining and Technology, School of Mechanics and Civil Engineering, Daxue Road 1, Xuzhou, 22116, Jiangsu, China.
  • Abbas M; Department of Civil Engineering, Transportation Engineering Group, Indian Institute of Technology Roorkee, 321-A&B, Roorkee, 247667, Uttarakhand, India.
  • Fang K; Department of Civil and Environmental Engineering, Virginia Tech, 301-D3 Patton Hall, Blacksburg, 24061, Virginia, United States.
  • Ghasemi N; Department of Geography, Environment, and Planning, Sonoma State University, 1801 East Cotati Avenue, Rohnert Park, 94928, California, United States.
  • Peprah P; Department of Civil Chemical Environmental and Materials Engineering, University of Bologna, Viale del Risorgimento, 2, Bologna, 40136, Emilia-Romagna, Italy.
  • Goswami S; Department of Social Policy Research Centre, University of New South Wales, John Goodsell Building, Kensington, Sydney, 2052, New South Wales, Australia.
  • Hessami A; Department of Civil Engineering, Indian Institute of Science Bangalore, C V Raman Avenue, Bangalore, 560012, Karnataka, India.
  • Agarwal N; Department of Civil and Architectural Engineering, Texas A&M University - Kingsville, 917 W. Ave B, Kingsville, 78363, Texas, United States.
  • Lam L; Department of Civil & Coastal Engineering, University of Florida, 2100 NE Waldo Rd., Sta 106, Gainesville, 32609, Florida, United States.
  • Adomako S; Federation University Australia, School of Health, 72-100 Clyde Rd, Berwick, 3806, Victoria, Australia.
Data Brief ; 33: 106459, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-1023537
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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study Country/Region as subject: South America / Brazil Language: English Journal: Data Brief Year: 2020 Document Type: Article Affiliation country: J.dib.2020.106459

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study Country/Region as subject: South America / Brazil Language: English Journal: Data Brief Year: 2020 Document Type: Article Affiliation country: J.dib.2020.106459