A Survey of COVID-19 in Public Transportation: Transmission Risk, Mitigation and Prevention

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Pysyväisosoite

http://hdl.handle.net/10138/345962

Lähdeviite

Liu , X , Kortoçi , P , Hossein Motlagh , N , Nurmi , P & Tarkoma , S 2022 , ' A Survey of COVID-19 in Public Transportation: Transmission Risk, Mitigation and Prevention ' , Multimodal transportation , vol. 1 , no. 3 . https://doi.org/10.1016/j.multra.2022.100030

Julkaisun nimi: A Survey of COVID-19 in Public Transportation: Transmission Risk, Mitigation and Prevention
Tekijä: Liu, Xiaoli; Kortoçi, Pranvera; Hossein Motlagh, Naser; Nurmi, Petteri; Tarkoma, Sasu
Tekijän organisaatio: Department of Computer Science
Helsinki Institute of Sustainability Science (HELSUS)
Content-Centric Structures and Networking research group / Sasu Tarkoma
Helsinki Institute for Information Technology
Päiväys: 2022-09
Kieli: eng
Sivumäärä: 51
Kuuluu julkaisusarjaan: Multimodal transportation
ISSN: 2772-5863
DOI-tunniste: https://doi.org/10.1016/j.multra.2022.100030
URI: http://hdl.handle.net/10138/345962
Tiivistelmä: 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.
Avainsanat: 113 Computer and information sciences
Vertaisarvioitu: Kyllä
Tekijänoikeustiedot: cc_by
Pääsyrajoitteet: openAccess
Rinnakkaistallennettu versio: acceptedVersion


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