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The impact of metro-based underground logistics system on city logistics performance under COVID-19 epidemic: A case study of Wuhan, China

Author

Listed:
  • Xu, Yuanxian
  • Dong, Jianjun
  • Ren, Rui
  • Yang, Kai
  • Chen, Zhilong

Abstract

The global outbreak of COVID-19 has further exposed deficiencies in city logistics based on human and ground roads, such as poor emergency response capacity and high risk of infection during transportation. Metro-based underground logistics system (M-ULS) may be an innovative approach to deal with this city-level disaster due to its efficient operation, contactless and driverless characteristics. However, the market evolution process and the quantitative calculation framework of comprehensive benefits after the application of M-ULS are still unclear, which has become a problem of mutual restriction with the extensive application of M-ULS. This paper attempts to use the system dynamics method, based on the real-world simulation, to analyze the quantitative relationship between the M-ULS implementation and the city logistics performance under epidemic outbreaks. Wuhan city in China was selected as the empirical background, and five simulation scenarios were set under different implementation strategies of M-ULS in response to the epidemic. Six variables were selected to measure city logistics performance and M-ULS operation status, including demand fill-rate, unit delivery time, total deprivation cost, total transportation cost, total number of susceptible people, and utilization rate of M-ULS. The results show that M-ULS is effective in improving the performance of city logistics and responding to the epidemic. The delivery time and transportation cost have a strong impact on the market share of M-ULS. Finally, a set of incentive policies was designed to promote the adoption of M-ULS. The findings not only provide a method for evaluating the overall performance of M-ULS, but also provide a unique perspective for promoting the implementation of M-ULS and responding to the transportation challenges brought by the epidemic.

Suggested Citation

  • Xu, Yuanxian & Dong, Jianjun & Ren, Rui & Yang, Kai & Chen, Zhilong, 2022. "The impact of metro-based underground logistics system on city logistics performance under COVID-19 epidemic: A case study of Wuhan, China," Transport Policy, Elsevier, vol. 116(C), pages 81-95.
    • Handle: RePEc:eee:trapol:v:116:y:2022:i:c:p:81-95
    DOI: 10.1016/j.tranpol.2021.10.020
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    1. Huang, Kai & Jiang, Yiping & Yuan, Yufei & Zhao, Lindu, 2015. "Modeling multiple humanitarian objectives in emergency response to large-scale disasters," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 75(C), pages 1-17.
    2. Ruth Banomyong & Paitoon Varadejsatitwong & Richard Oloruntoba, 2019. "A systematic review of humanitarian operations, humanitarian logistics and humanitarian supply chain performance literature 2005 to 2016," Annals of Operations Research, Springer, vol. 283(1), pages 71-86, December.
    3. Sheth, Jagdish, 2020. "Impact of Covid-19 on consumer behavior: Will the old habits return or die?," Journal of Business Research, Elsevier, vol. 117(C), pages 280-283.
    4. Ozturk, Onur & Patrick, Jonathan, 2018. "An optimization model for freight transport using urban rail transit," European Journal of Operational Research, Elsevier, vol. 267(3), pages 1110-1121.
    5. Park, Hyeongjun & Park, Dongjoo & Jeong, In-Jae, 2016. "An effects analysis of logistics collaboration in last-mile networks for CEP delivery services," Transport Policy, Elsevier, vol. 50(C), pages 115-125.
    6. Sabounchi, Nasim S. & Triantis, Konstantinos P. & Sarangi, Sudipta & Liu, Shiyong, 2014. "Dynamic simulation modeling and policy analysis of an area-based congestion pricing scheme for a transportation socioeconomic system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 357-383.
    7. Emberger, Guenter & Pfaffenbichler, Paul, 2020. "A quantitative analysis of potential impacts of automated vehicles in Austria using a dynamic integrated land use and transport interaction model," Transport Policy, Elsevier, vol. 98(C), pages 57-67.
    8. Mingers, John & White, Leroy, 2010. "A review of the recent contribution of systems thinking to operational research and management science," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1147-1161, December.
    9. Lewe, J.-H. & Hivin, L.F. & Mavris, D.N., 2014. "A multi-paradigm approach to system dynamics modeling of intercity transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 188-202.
    10. Egbunike, Obiajulu N. & Potter, Andrew T., 2011. "Are freight pipelines a pipe dream? A critical review of the UK and European perspective," Journal of Transport Geography, Elsevier, vol. 19(4), pages 499-508.
    11. Ivanov, Dmitry, 2020. "Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    12. Fontoura, Wlisses Bonelá & Chaves, Gisele de Lorena Diniz & Ribeiro, Glaydston Mattos, 2019. "The Brazilian urban mobility policy: The impact in São Paulo transport system using system dynamics," Transport Policy, Elsevier, vol. 73(C), pages 51-61.
    13. Puylaert, S. & Snelder, M. & van Nes, R. & van Arem, B., 2018. "Mobility impacts of early forms of automated driving – A system dynamic approach," Transport Policy, Elsevier, vol. 72(C), pages 171-179.
    14. Jianjun Dong & Yuanxian Xu & Bon-gang Hwang & Rui Ren & Zhilong Chen, 2019. "The Impact of Underground Logistics System on Urban Sustainable Development: A System Dynamics Approach," Sustainability, MDPI, vol. 11(5), pages 1-21, February.
    15. Thierry Vanelslander & Christa Sys & Jasmine Siu Lee Lam & Claudio Ferrari & Athena Roumboutsos & Michele Acciaro & Rosario Macário & Genevieve Giuliano, 2019. "A serving innovation typology: mapping port-related innovations," Transport Reviews, Taylor & Francis Journals, vol. 39(5), pages 611-629, September.
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