A survey of COVID-19 in public transportation: Transmission risk, mitigation and prevention
•Survey the main transmission, risks, mitigation, and prevention mechanisms.•Different mediating factors affect the transmission risk of the virus.•Social distancing and control on passenger density are found the most effective mechanism.•Computing and digital technology can support risk control.•Gu...
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Veröffentlicht in: | Multimodal transportation 2022-09, Vol.1 (3), p.100030-100030, Article 100030 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | •Survey the main transmission, risks, mitigation, and prevention mechanisms.•Different mediating factors affect the transmission risk of the virus.•Social distancing and control on passenger density are found the most effective mechanism.•Computing and digital technology can support risk control.•Guidelines are derived to help manage risks inside public transportation.
The COVID-19 pandemic is posing significant challenges to public transport operators by drastically reducing demand while also requiring them to implement measures that minimize risks to the health of the passengers. While the collective scientific understanding of the SARS-CoV-2 virus and COVID-19 pandemic are rapidly increasing, currently there is a lack of understanding of how the COVID-19 relates to public transport operations. This article presents a comprehensive survey of the current research on COVID-19 transmission mechanisms and how they relate to public transport. We critically assess literature through a lens of disaster management and survey the main transmission mechanisms, forecasting, risks, mitigation, and prevention mechanisms. Social distancing and control on passenger density are found to be the most effective mechanisms. Computing and digital technology can support risk control. Based on our survey, we draw guidelines for public transport operators and highlight open research challenges to establish a research roadmap for the path forward. |
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ISSN: | 2772-5863 2772-5863 |
DOI: | 10.1016/j.multra.2022.100030 |