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Impact of Social Media on Travel Behaviors during the COVID-19 Pandemic: Evidence from New York City.
Ye, Qian; Ozbay, Kaan; Zuo, Fan; Chen, Xiaohong.
Afiliación
  • Ye Q; Key Laboratory of Road and Traffic Engineering of the Ministry of Education, College of Transportation Engineering, Tongji University, Shanghai, China.
  • Ozbay K; Transport Planning and Research Institute of Ministry of Transport P.R. China, Beijing, China.
  • Zuo F; C2SMART Center, Department of Civil and Urban Engineering, Tandon School of Engineering, New York University, Brooklyn, NY.
  • Chen X; Center for Urban Science and Progress (CUSP), Tandon School of Engineering, New York University, Brooklyn, NY.
Transp Res Rec ; 2677(4): 219-238, 2023 Apr.
Article en En | MEDLINE | ID: mdl-37153201
ABSTRACT
During the outbreak of COVID-19, people's reliance on social media for pandemic-related information exchange, daily communications, and online professional interactions increased because of self-isolation and lockdown implementation. Most of the published research addresses the performance of nonpharmaceutical interventions (NPIs) and measures on the issues impacted by COVID-19, such as health, education, and public safety; however, not much is known about the interplay between social media use and travel behaviors. This study aims to determine the effect of social media on human mobility before and after the COVID-19 outbreak, and its impact on personal vehicle and public transit use in New York City (NYC). Apple mobility trends and Twitter data are used as two data sources. The results indicate that Twitter volume and mobility trend correlations are negative for both driving and transit categories in general, especially at the beginning of the COVID-19 outbreak in NYC. A significant time lag (13 days) between the online communication rise and mobility drop can be observed, thereby providing evidence of social networks taking quicker reactions to the pandemic than the transportation system. In addition, social media and government policies had different impacts on vehicular traffic and public transit ridership during the pandemic with varied performance. This study provides insights on the complex influence of both anti-pandemic measures and user-generated content, namely social media, on people's travel decisions during pandemics. The empirical evidence can help decision-makers formulate timely emergency responses, prepare targeted traffic intervention policies, and conduct risk management in similar outbreaks in the future.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Transp Res Rec Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Transp Res Rec Año: 2023 Tipo del documento: Article País de afiliación: China