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Impact of Different Transportation Modes on the Transmission of COVID-19: Correlation and Strategies from a Case Study in Wuhan, China

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Listed:
  • Danwen Bao

    (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Liping Yin

    (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Shijia Tian

    (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Jialin Lv

    (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Yanjun Wang

    (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Jian Wang

    (School of Transportation, Southeast University, Nanjing 211189, China)

  • Chaohao Liao

    (Air Traffic Management Bureau of Central South of China, Guangzhou 510422, China)

Abstract

Transportation is the main carrier of population movement, so it is significant to clarify how different transportation modes influence epidemic transmission. This paper verified the relationship between different levels of facilities and epidemic transmission by use of the K-means clustering method and the Mann–Whitney U test. Next, quantile regression and negative binomial regression were adopted to evaluate the relationship between transportation modes and transmission patterns. Finally, this paper proposed a control efficiency indicator to assess the differentiated strategies. The results indicated that the epidemic appeared 2–3 days earlier in cities with strong hubs, and the diagnoses were nearly fourfold than in other cities. In addition, air and road transportation were strongly associated with transmission speed, while railway and road transportation were more correlated with severity. A prevention strategy that considered transportation facility levels resulted in a reduction of the diagnoses of about 6%, for the same cost. The results of different strategies may provide valuable insights for cities to develop more efficient control measures and an orderly restoration of public transportation during the steady phase of the epidemic.

Suggested Citation

  • Danwen Bao & Liping Yin & Shijia Tian & Jialin Lv & Yanjun Wang & Jian Wang & Chaohao Liao, 2022. "Impact of Different Transportation Modes on the Transmission of COVID-19: Correlation and Strategies from a Case Study in Wuhan, China," IJERPH, MDPI, vol. 19(23), pages 1-22, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:15705-:d:984286
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    References listed on IDEAS

    as
    1. Jun Cai & Bo Xu & Karen Kie Yan Chan & Xueying Zhang & Bing Zhang & Ziyue Chen & Bing Xu, 2019. "Roles of Different Transport Modes in the Spatial Spread of the 2009 Influenza A(H1N1) Pandemic in Mainland China," IJERPH, MDPI, vol. 16(2), pages 1-15, January.
    2. Gaskin, Darrell J. & Zare, Hossein & Delarmente, Benjo A., 2021. "Geographic disparities in COVID-19 infections and deaths: The role of transportation," Transport Policy, Elsevier, vol. 102(C), pages 35-46.
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