IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i23p15705-d984286.html
   My bibliography  Save this article

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

Author

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/23/15705/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/23/15705/
    Download Restriction: no
    ---><---

    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Yang & Liu, Qing & Chang, Chia-Hsun, 2023. "China-Europe freight transportation under the first wave of COVID-19 pandemic and government restriction measures," Research in Transportation Economics, Elsevier, vol. 97(C).
    2. Li, Siping & Zhou, Yaoming & Kundu, Tanmoy & Sheu, Jiuh-Biing, 2021. "Spatiotemporal variation of the worldwide air transportation network induced by COVID-19 pandemic in 2020," Transport Policy, Elsevier, vol. 111(C), pages 168-184.
    3. Mattia Mazzoli & Riccardo Gallotti & Filippo Privitera & Pere Colet & José J. Ramasco, 2023. "Spatial immunization to abate disease spreading in transportation hubs," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    4. Li, Tao & Rong, Lili & Zhang, Anming, 2021. "Assessing regional risk of COVID-19 infection from Wuhan via high-speed rail," Transport Policy, Elsevier, vol. 106(C), pages 226-238.
    5. Zhang, Qiang & Tong, Qiong, 2021. "The economic impacts of traffic consumption during the COVID-19 pandemic in China: A CGE analysis," Transport Policy, Elsevier, vol. 114(C), pages 330-337.
    6. Betarelli Junior, Admir Antonio & Faria, Weslem Rodrigues & Proque, Andressa Lemes & Perobelli, Fernando Salgueiro & de Almeida Vale, Vinicius, 2021. "COVID-19, public agglomerations and economic effects: Assessing the recovery time of passenger transport services in Brazil," Transport Policy, Elsevier, vol. 110(C), pages 254-272.
    7. Deepti Adlakha & Mark A. Tully & Perla Mansour, 2022. "Assessing the Impact of a New Urban Greenway Using Mobile, Wearable Technology-Elicited Walk- and Bike-Along Interviews," Sustainability, MDPI, vol. 14(3), pages 1-18, February.
    8. Chun-Hsiang Chan & Tzai-Hung Wen, 2021. "Revisiting the Effects of High-Speed Railway Transfers in the Early COVID-19 Cross-Province Transmission in Mainland China," IJERPH, MDPI, vol. 18(12), pages 1-17, June.
    9. Bo Xu & Huaiyu Tian & Clive Eric Sabel & Bing Xu, 2019. "Impacts of Road Traffic Network and Socioeconomic Factors on the Diffusion of 2009 Pandemic Influenza A (H1N1) in Mainland China," IJERPH, MDPI, vol. 16(7), pages 1-14, April.
    10. Khadem Sameni, Melody & Barzegar Tilenoie, Amine & Dini, Niloofar, 2021. "Will modal shift occur from subway to other modes of transportation in the post-corona world in developing countries?," Transport Policy, Elsevier, vol. 111(C), pages 82-89.
    11. Karimi, Sina & Samadzad, Mahdi & Lesteven, Gaele, 2024. "Navigating public transport during a pandemic: Key lessons on travel behavior and social equity from two surveys in Tehran," Transportation Research Part A: Policy and Practice, Elsevier, vol. 184(C).
    12. Jingjing Wang & Xueying Wu & Ruoyu Wang & Dongsheng He & Dongying Li & Linchuan Yang & Yiyang Yang & Yi Lu, 2021. "Review of Associations between Built Environment Characteristics and Severe Acute Respiratory Syndrome Coronavirus 2 Infection Risk," IJERPH, MDPI, vol. 18(14), pages 1-16, July.
    13. Ayodele Adekunle Faiyetole & Victor Ayodeji Adewumi, 2024. "Urban expansion and transportation interaction: Evidence from Akure, southwestern Nigeria," Environment and Planning B, , vol. 51(1), pages 57-74, January.
    14. Elif Bozkaya & Levent Eriskin & Mumtaz Karatas, 2023. "Data analytics during pandemics: a transportation and location planning perspective," Annals of Operations Research, Springer, vol. 328(1), pages 193-244, September.
    15. Crowley, Frank & Daly, Hannah & Doran, Justin & Ryan, Geraldine & Caulfield, Brian, 2021. "The impact of labour market disruptions and transport choice on the environment during COVID-19," Transport Policy, Elsevier, vol. 106(C), pages 185-195.
    16. Marta Mańkowska & Michał Pluciński & Izabela Kotowska & Ludmiła Filina-Dawidowicz, 2021. "Seaports during the COVID-19 Pandemic: The Terminal Operators’ Tactical Responses to Disruptions in Maritime Supply Chains," Energies, MDPI, vol. 14(14), pages 1-22, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:15705-:d:984286. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.