IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v104y2021icp29-42.html
   My bibliography  Save this article

Dynamic governance decisions on multi-modal inter-city travel during a large-scale epidemic spreading

Author

Listed:
  • An, Yunlong
  • Lin, Xi
  • Li, Meng
  • He, Fang

Abstract

Within half a year, COVID-19 spreads to most countries in the world, as well as posed a great threat to the public health of human beings. The implementation of non-pharmaceutical intervention (NPI), including travel ban, proved to be an effective way for controlling the epidemic spreading, e.g., the ban of inter-city transportation stops transporting virus through passengers between cities. However, travel ban could significantly impact many industries, e.g. tourism and logistics, thus jeopardizing the regional economy. This paper focus on assisting the national or regional government to make dynamic decisions on restricting and recovering intercity multi-modal travel services. Our model can characterize impacts of inter-city traffic on the spread of the COVID-19, as well as on the regional economy. By applying a reinforcement learning approach, we develop an online optimization model to identify the modal-specific travel banning strategy that can balance the epidemic control as well as the negative impacts on regional economy. The numerical study based on a network of multiple cities in China shows that the proposed approach can generate better strategies compared with some existing methods.

Suggested Citation

  • An, Yunlong & Lin, Xi & Li, Meng & He, Fang, 2021. "Dynamic governance decisions on multi-modal inter-city travel during a large-scale epidemic spreading," Transport Policy, Elsevier, vol. 104(C), pages 29-42.
    • Handle: RePEc:eee:trapol:v:104:y:2021:i:c:p:29-42
    DOI: 10.1016/j.tranpol.2021.01.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X21000147
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tranpol.2021.01.008?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hiroyasu Inoue & Yasuyuki Todo, 2019. "Firm-level propagation of shocks through supply-chain networks," Nature Sustainability, Nature, vol. 2(9), pages 841-847, September.
    2. Aldrich, Preston R. & El-Zabet, Jermeen & Hassan, Seerat & Briguglio, Joseph & Aliaj, Enela & Radcliffe, Maria & Mirza, Taha & Comar, Timothy & Nadolski, Jeremy & Huebner, Cynthia D., 2015. "Monte Carlo tests of small-world architecture for coarse-grained networks of the United States railroad and highway transportation systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 32-39.
    3. Beck, Matthew J. & Hensher, David A., 2020. "Insights into the impact of COVID-19 on household travel and activities in Australia – The early days under restrictions," Transport Policy, Elsevier, vol. 96(C), pages 76-93.
    4. Oum, Tae Hoon & Wang, Kun, 2020. "Socially optimal lockdown and travel restrictions for fighting communicable virus including COVID-19," Transport Policy, Elsevier, vol. 96(C), pages 94-100.
    5. Zhang, Yahua & Zhang, Anming & Wang, Jiaoe, 2020. "Exploring the roles of high-speed train, air and coach services in the spread of COVID-19 in China," Transport Policy, Elsevier, vol. 94(C), pages 34-42.
    6. Beck, Matthew J. & Hensher, David A., 2020. "Insights into the impact of COVID-19 on household travel and activities in Australia – The early days of easing restrictions," Transport Policy, Elsevier, vol. 99(C), pages 95-119.
    7. Dabo Guan & Daoping Wang & Stephane Hallegatte & Steven J. Davis & Jingwen Huo & Shuping Li & Yangchun Bai & Tianyang Lei & Qianyu Xue & D’Maris Coffman & Danyang Cheng & Peipei Chen & Xi Liang & Bing, 2020. "Global supply-chain effects of COVID-19 control measures," Nature Human Behaviour, Nature, vol. 4(6), pages 577-587, June.
    8. Donzelli, Matteo, 2010. "The effect of low-cost air transportation on the local economy: Evidence from Southern Italy," Journal of Air Transport Management, Elsevier, vol. 16(3), pages 121-126.
    9. Nakamura, Hiroki & Managi, Shunsuke, 2020. "Airport risk of importation and exportation of the COVID-19 pandemic," Transport Policy, Elsevier, vol. 96(C), pages 40-47.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Beck, Matthew J. & Hensher, David A., 2022. "Australia 6 months after COVID-19 restrictions- part 1: Changes to travel activity and attitude to measures," Transport Policy, Elsevier, vol. 128(C), pages 286-298.
    2. Chen, Ruoyu & Zhang, Min & Zhou, Jiangping, 2023. "Jobs-housing relationships before and amid COVID-19: An excess-commuting approach," Journal of Transport Geography, Elsevier, vol. 106(C).
    3. Tao Lian & Shamsheer ul Haq & Pomi Shahbaz & Lei Zhao & Muhammad Nadeem & Babar Aziz, 2022. "Changing Food Patterns during the Pandemic: Exploring the Role of Household Dynamics and Income Stabilization Strategies," Sustainability, MDPI, vol. 15(1), pages 1-20, December.
    4. 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.
    5. Zha, Wenbin & Ye, Qian & Li, Jian & Ozbay, Kaan, 2023. "A social media Data-Driven analysis for transport policy response to the COVID-19 pandemic outbreak in Wuhan, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).

    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. Zhang, Junyi & Hayashi, Yoshitsugu, 2022. "Research frontier of COVID-19 and passenger transport: A focus on policymaking," Transport Policy, Elsevier, vol. 119(C), pages 78-88.
    2. Yang, Senyan & Ning, Lianju & Jiang, Tingfeng & He, Yingqi, 2021. "Dynamic impacts of COVID-19 pandemic on the regional express logistics: Evidence from China," Transport Policy, Elsevier, vol. 111(C), pages 111-124.
    3. Cui, Qi & He, Ling & Liu, Yu & Zheng, Yanting & Wei, Wei & Yang, Bo & Zhou, Meifang, 2021. "The impacts of COVID-19 pandemic on China’s transport sectors based on the CGE model coupled with a decomposition analysis approach," Transport Policy, Elsevier, vol. 103(C), pages 103-115.
    4. Sun, Xiaoqian & Wandelt, Sebastian & Zhang, Anming, 2021. "On the degree of synchronization between air transport connectivity and COVID-19 cases at worldwide level," Transport Policy, Elsevier, vol. 105(C), pages 115-123.
    5. Luan, Siliang & Yang, Qingfang & Jiang, Zhongtai & Wang, Wei, 2021. "Exploring the impact of COVID-19 on individual's travel mode choice in China," Transport Policy, Elsevier, vol. 106(C), pages 271-280.
    6. Hensher, David A. & Wei, Edward & Beck, MatthewJ. & Balbontin, Camila, 2021. "The impact of COVID-19 on cost outlays for car and public transport commuting - The case of the Greater Sydney Metropolitan Area after three months of restrictions," Transport Policy, Elsevier, vol. 101(C), pages 71-80.
    7. 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).
    8. Zhang, Junyi & Hayashi, Yoshitsugu & Frank, Lawrence D., 2021. "COVID-19 and transport: Findings from a world-wide expert survey," Transport Policy, Elsevier, vol. 103(C), pages 68-85.
    9. Beck, Matthew J. & Hensher, David A., 2022. "Australia 6 months after COVID-19 restrictions- part 1: Changes to travel activity and attitude to measures," Transport Policy, Elsevier, vol. 128(C), pages 286-298.
    10. 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.
    11. Shaer, Amin & Haghshenas, Hossein, 2021. "Evaluating the effects of the COVID-19 outbreak on the older adults’ travel mode choices," Transport Policy, Elsevier, vol. 112(C), pages 162-172.
    12. Muley, Deepti & Ghanim, Mohammad Shareef & Mohammad, Anas & Kharbeche, Mohamed, 2021. "Quantifying the impact of COVID–19 preventive measures on traffic in the State of Qatar," Transport Policy, Elsevier, vol. 103(C), pages 45-59.
    13. Wang, Kaili & Liu, Yicong & Mashrur, Sk Md & Loa, Patrick & Habib, Khandker Nurul, 2021. "COVid-19 influenced households’ Interrupted Travel Schedules (COVHITS) survey: Lessons from the fall 2020 cycle," Transport Policy, Elsevier, vol. 112(C), pages 43-62.
    14. Loa, Patrick & Hossain, Sanjana & Mashrur, Sk. Md. & Liu, Yicong & Wang, Kaili & Ong, Felita & Habib, Khandker Nurul, 2021. "Exploring the impacts of the COVID-19 pandemic on modality profiles for non-mandatory trips in the Greater Toronto Area," Transport Policy, Elsevier, vol. 110(C), pages 71-85.
    15. Li, Tao & Wang, Jiaoe & Huang, Jie & Yang, Wenyue & Chen, Zhuo, 2021. "Exploring the dynamic impacts of COVID-19 on intercity travel in China," Journal of Transport Geography, Elsevier, vol. 95(C).
    16. Chan, Ho-Yin & Chen, Anthony & Ma, Wei & Sze, Nang-Ngai & Liu, Xintao, 2021. "COVID-19, community response, public policy, and travel patterns: A tale of Hong Kong," Transport Policy, Elsevier, vol. 106(C), pages 173-184.
    17. Chen, Chao & Feng, Tao & Gu, Xiaoning & Yao, Baozhen, 2022. "Investigating the effectiveness of COVID-19 pandemic countermeasures on the use of public transport: A case study of The Netherlands," Transport Policy, Elsevier, vol. 117(C), pages 98-107.
    18. Tscharaktschiew, Stefan & Reimann, Felix, 2021. "On employer-paid parking and parking (cash-out) policy: A formal synthesis of different perspectives," Transport Policy, Elsevier, vol. 110(C), pages 499-516.
    19. Molloy, Joseph & Schatzmann, Thomas & Schoeman, Beaumont & Tchervenkov, Christopher & Hintermann, Beat & Axhausen, Kay W., 2021. "Observed impacts of the Covid-19 first wave on travel behaviour in Switzerland based on a large GPS panel," Transport Policy, Elsevier, vol. 104(C), pages 43-51.
    20. Kim, Suji & Lee, Sujin & Ko, Eunjeong & Jang, Kitae & Yeo, Jiho, 2021. "Changes in car and bus usage amid the COVID-19 pandemic: Relationship with land use and land price," Journal of Transport Geography, Elsevier, vol. 96(C).

    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:eee:trapol:v:104:y:2021:i:c:p:29-42. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    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.