IDEAS home Printed from https://ideas.repec.org/a/eee/ijocip/v47y2024ics1874548224000453.html
   My bibliography  Save this article

Resilience quantification and recovery strategy simulation for urban underground logistics systems under node and link attacks: A case study of Nanjing city

Author

Listed:
  • Lu, Ying
  • Wang, Qingling
  • Huang, Shiyu
  • Yu, Wenhui
  • Yao, Shuyue

Abstract

Urban Underground Logistics Systems (UULS) have become an emerging solution to mitigate urban surface traffic congestion, environmental pollution, and surface transport safety risks. However, during the operation of UULS, the use of advanced technologies such as the Internet of Things (IoT) introduces cybersecurity risks to the system. Moreover, severe natural disasters can also cause damage to underground transportation network links. Existing research and planning primarily concentrate on the system design and benefits of UULS, neglecting the system's service level under attack scenarios. This study outlines three representative UULS network prototypes and proposes a resilience quantification method centered on logistics efficiency. It also focuses on comparing the effectiveness of three recovery strategies. These strategies give priority to maximum flow, betweenness centrality, and regional importance, as well as the priority of node and link repairs. The resilience quantification method and recovery strategies are applied in a case study set in Nanjing City. The case study results reveal that the Two-echelon network shows exceptional resilience. Regarding the effectiveness of recovery strategies, the strategy based on maximum flow proves to be the most effective, and focusing on node repair can lead to higher system resilience. Based on these findings, this study offers recommendations to transportation and logistics management decision-makers, focusing on UULS resilience and recovery strategy selection. These recommendations are intended to provide valuable guidance for the planning and design of future UULS, ensuring their resilience and reliability.

Suggested Citation

  • Lu, Ying & Wang, Qingling & Huang, Shiyu & Yu, Wenhui & Yao, Shuyue, 2024. "Resilience quantification and recovery strategy simulation for urban underground logistics systems under node and link attacks: A case study of Nanjing city," International Journal of Critical Infrastructure Protection, Elsevier, vol. 47(C).
  • Handle: RePEc:eee:ijocip:v:47:y:2024:i:c:s1874548224000453
    DOI: 10.1016/j.ijcip.2024.100704
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1874548224000453
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijcip.2024.100704?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. Cheung, Kam-Fung & Bell, Michael G.H. & Bhattacharjya, Jyotirmoyee, 2021. "Cybersecurity in logistics and supply chain management: An overview and future research directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    2. Chen, Daqiang & Sun, Danzhi & Yin, Yunqiang & Dhamotharan, Lalitha & Kumar, Ajay & Guo, Yihan, 2022. "The resilience of logistics network against node failures," International Journal of Production Economics, Elsevier, vol. 244(C).
    3. Rahimi-Golkhandan, Armin & Aslani, Babak & Mohebbi, Shima, 2022. "Predictive resilience of interdependent water and transportation infrastructures: A sociotechnical approach," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    4. Bešinović, Nikola & Ferrari Nassar, Raphael & Szymula, Christopher, 2022. "Resilience assessment of railway networks: Combining infrastructure restoration and transport management," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
    5. Brusset, Xavier & Teller, Christoph, 2017. "Supply chain capabilities, risks, and resilience," International Journal of Production Economics, Elsevier, vol. 184(C), pages 59-68.
    6. Wu, Yangyang & Hou, Guangyang & Chen, Suren, 2021. "Post-earthquake resilience assessment and long-term restoration prioritization of transportation network," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
    7. Wiegmans, Bart W. & Visser, Johan & Konings, Rob & Pielage, Ben-Jaap A., 2010. "Review of underground logistic systems in the Netherlands: an ex-post evaluation of barriers, enablers and spin-offs," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 45, pages 34-49.
    8. Gupta, Himanshu & Yadav, Avinash Kumar & Kusi-Sarpong, Simonov & Khan, Sharfuddin Ahmed & Sharma, Shashi Chandra, 2022. "Strategies to overcome barriers to innovative digitalisation technologies for supply chain logistics resilience during pandemic," Technology in Society, Elsevier, vol. 69(C).
    9. Kameshwar, Sabarethinam & Cox, Daniel T. & Barbosa, Andre R. & Farokhnia, Karim & Park, Hyoungsu & Alam, Mohammad S. & van de Lindt, John W., 2019. "Probabilistic decision-support framework for community resilience: Incorporating multi-hazards, infrastructure interdependencies, and resilience goals in a Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    10. Li, Siqiao & Zhu, Xiaoning & Shang, Pan & Wang, Li & Li, Tianqi, 2024. "Scheduling shared passenger and freight transport for an underground logistics system," Transportation Research Part B: Methodological, Elsevier, vol. 183(C).
    11. Zhao, Yang & Wang, Song & Liu, Xiaowan & Tang, Xue, 2023. "Effect of the logistics industry on the promotion of China's position in the global value chain: An international trade perspective," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 834-847.
    12. Caputo, Antonio C. & Kalemi, Bledar & Paolacci, Fabrizio & Corritore, Daniele, 2020. "Computing resilience of process plants under Na-Tech events: Methodology and application to sesmic loading scenarios," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    13. Yin, Kai & Wu, Jianjun & Wang, Weiping & Lee, Der-Horng & Wei, Yun, 2023. "An integrated resilience assessment model of urban transportation network: A case study of 40 cities in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    14. Kong, Jingjing & Zhang, Chao & Simonovic, Slobodan P., 2021. "Optimizing the resilience of interdependent infrastructures to regional natural hazards with combined improvement measures," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    15. Di, Zhen & Yang, Lixing & Shi, Jungang & Zhou, Housheng & Yang, Kai & Gao, Ziyou, 2022. "Joint optimization of carriage arrangement and flow control in a metro-based underground logistics system," Transportation Research Part B: Methodological, Elsevier, vol. 159(C), pages 1-23.
    16. Stephanie Duchek, 2020. "Organizational resilience: a capability-based conceptualization," Business Research, Springer;German Academic Association for Business Research, vol. 13(1), pages 215-246, April.
    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. Liu, Xiao & Xie, Qiang, 2024. "A probabilistic framework to evaluate seismic resilience of substations based on three-stage uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
    2. Wang, Hongping & Fang, Yi-Ping & Zio, Enrico, 2022. "Resilience-oriented optimal post-disruption reconfiguration for coupled traffic-power systems," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    3. Brunner, L.G. & Peer, R.A.M. & Zorn, C. & Paulik, R. & Logan, T.M., 2024. "Understanding cascading risks through real-world interdependent urban infrastructure," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    4. Xie, Qiang & Liu, Xiao & Wu, Siyuan, 2025. "Resilience-based optimisation framework for post-earthquake restoration of power systems," Reliability Engineering and System Safety, Elsevier, vol. 257(PA).
    5. Wang, Feng & Tian, Jin & Shi, Chenli & Ling, Jiamu & Chen, Zian & Xu, Zhengguo, 2024. "A multi-stage quantitative resilience analysis and optimization framework considering dynamic decisions for urban infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    6. Geng, Sunyue & Liu, Sifeng & Fang, Zhigeng, 2022. "A demand-based framework for resilience assessment of multistate networks under disruptions," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    7. Li, Haiwen & Qi, Lin & Wang, Mudan & Liu, Junying, 2025. "Operational resilience modeling of cross-border freight railway systems: A study of strategies to improve proactive and reactive capabilities," Reliability Engineering and System Safety, Elsevier, vol. 257(PA).
    8. Caputo, A.C. & Donati, L. & Salini, P., 2023. "Estimating resilience of manufacturing plants to physical disruptions: Model and application," International Journal of Production Economics, Elsevier, vol. 266(C).
    9. Abdullah Kaid Al-Swidi & Mohammed A Al-Hakimi & Hussam Al Halbusi & Jaithen Abdullah Al Harbi & Hamood Mohammed Al-Hattami, 2024. "Does blockchain technology matter for supply chain resilience in dynamic environments? The role of supply chain integration," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-22, January.
    10. Jia, Chuanzhou & Zhang, Chi & Li, Yan-Fu & Li, Quan-Lin, 2023. "Joint pre- and post-disaster planning to enhance the resilience of critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    11. Nguyen, Son & Shu-Ling Chen, Peggy & Du, Yuquan, 2022. "Risk assessment of maritime container shipping blockchain-integrated systems: An analysis of multi-event scenarios," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    12. Bakhtiari, Soheil & Najafi, Mohammad Reza & Goda, Katsuichiro & Peerhossaini, Hassan, 2025. "A dynamic Bayesian network approach to characterize multi-hazard risks and resilience in interconnected critical infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 257(PA).
    13. Yang, Zhicheng & Liu, Xiaobing & Wang, Jiangfeng & Yan, Xuedong & Shen, Rui & Huo, Zhengqi, 2025. "Assessment on resilience of urban agglomeration transportation system considering passenger choice and load-capacity factor," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    14. Betto, Frida & Garengo, Patrizia, 2023. "A circular pathway for developing resilience in healthcare during pandemics," International Journal of Production Economics, Elsevier, vol. 266(C).
    15. Wei, Yian & Cheng, Yao & Liao, Haitao, 2024. "Optimal resilience-based restoration of a system subject to recurrent dependent hazards," Reliability Engineering and System Safety, Elsevier, vol. 247(C).
    16. Chi, Maomao & Li, Wenjing & Li, Yuanxiang John & Zhou, Min & Huang, Rui, 2025. "Unraveling the paradoxical effects of digital transformation on organizational Resilience: The role of customer and supplier concentrations," Journal of Business Research, Elsevier, vol. 191(C).
    17. Tapio Riepponen & Mikko Moilanen & Jaakko Simonen, 2023. "Themes of resilience in the economics literature: A topic modeling approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 15(2), pages 326-356, April.
    18. Kaur, Harpreet & Gupta, Mahima & Singh, Surya Prakash, 2024. "Integrated model to optimize supplier selection and investments for cyber resilience in digital supply chains," International Journal of Production Economics, Elsevier, vol. 275(C).
    19. Shang, Qingxue & Guo, Xiaodong & Li, Jichao & Wang, Tao, 2022. "Post-earthquake health care service accessibility assessment framework and its application in a medium-sized city," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    20. Jurek, Kinga, 2023. "Wpływ Szoków Ekonomicznych i Środowiskowych na Polskie Gospodarstwa Rolne w Latach 2010-2019," Roczniki (Annals), Polish Association of Agricultural Economists and Agribusiness - Stowarzyszenie Ekonomistow Rolnictwa e Agrobiznesu (SERiA), vol. 2023(4).

    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:ijocip:v:47:y:2024:i:c:s1874548224000453. 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: https://www.journals.elsevier.com/international-journal-of-critical-infrastructure-protection .

    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.