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An ontology-based multi-hazard coupling accidents simulation and deduction system for underground utility tunnel - A case study of earthquake-induced disaster chain

Author

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  • Gu, Yin
  • Wang, Chenyang
  • Liu, Yi
  • Zhou, Rui

Abstract

Integrated underground utility tunnels are increasingly crucial in modern cities, addressing the pressing need for sustainable urban development. However, their extensive centralization amplifies both the complexity and scale of potential risks. When a utility tunnel accident occurs, it is possible to trigger a sequence of cascading events, thereby resulting a complex coupling accident. While previous research has predominantly focused on individual hazards, understanding multi-hazard coupling accidents presents significant challenges and lacks effective methodologies. In this paper, we propose an integrated system utilizing ontology technology and knowledge base construction for simulating and deducing coupling accidents in urban utility tunnels. Specifically, by extending ontology techniques to emergency decision-making and adopting the triangular framework for public safety, we establish a multidimensional information ontology for utility tunnel emergencies. Furthermore, a knowledge base for typical coupling accident evolution paths is established based on the event chain and contingency plan chain theory. Through integration with a multi-hazard accident basic database that serves the conditional, investigative and decision-making node within the evolution path, the simulation and deduction system is formulated, boasting a user-friendly visual interface, interactive functionality, and seamless applicability for widespread adoption. A case study demonstrates the system ability to support multiple paths and unified mapping deduction, offering practical emergency decision-making suggestions to mitigate cascading events in urban utility tunnels.

Suggested Citation

  • Gu, Yin & Wang, Chenyang & Liu, Yi & Zhou, Rui, 2025. "An ontology-based multi-hazard coupling accidents simulation and deduction system for underground utility tunnel - A case study of earthquake-induced disaster chain," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    • Handle: RePEc:eee:reensy:v:253:y:2025:i:c:s0951832024006318
    DOI: 10.1016/j.ress.2024.110559
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    References listed on IDEAS

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    1. Wu, Jiansong & Bai, Yiping & Fang, Weipeng & Zhou, Rui & Reniers, Genserik & Khakzad, Nima, 2021. "An Integrated Quantitative Risk Assessment Method for Urban Underground Utility Tunnels," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    2. Sun, Bin & Li, Yan & Zhang, Yangyang & Guo, Tong, 2024. "Multi-source heterogeneous data fusion prediction technique for the utility tunnel fire detection," Reliability Engineering and System Safety, Elsevier, vol. 248(C).
    3. Ouyang, Min & Liu, Chuang & Wu, Shengyu, 2020. "Worst-case vulnerability assessment and mitigation model of urban utility tunnels," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    4. Alanen, Jarmo & Linnosmaa, Joonas & Malm, Timo & Papakonstantinou, Nikolaos & Ahonen, Toni & Heikkilä, Eetu & Tiusanen, Risto, 2022. "Hybrid ontology for safety, security, and dependability risk assessments and Security Threat Analysis (STA) method for industrial control systems," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    5. Hai, Nan & Gong, Daqing & Liu, Shifeng & Dai, Zixuan, 2022. "Dynamic coupling risk assessment model of utility tunnels based on multimethod fusion," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    6. Yuan, Shuaiqi & Cai, Jitao & Reniers, Genserik & Yang, Ming & Chen, Chao & Wu, Jiansong, 2022. "Safety barrier performance assessment by integrating computational fluid dynamics and evacuation modeling for toxic gas leakage scenarios," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    7. Bai, Yiping & Wu, Jiansong & Liu, Kunqi & Sun, Yuxin & Shen, Siyao & Cao, Jiaojiao & Cai, Jitao, 2024. "Energy-based coupling risk assessment (CRA) model for urban underground utility tunnels," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
    8. Xue, Gang & Liu, Shifeng & Ren, Long & Gong, Daqing, 2024. "Risk assessment of utility tunnels through risk interaction-based deep learning," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    9. Cai, Jitao & Wu, Jiansong & Yuan, Shuaiqi & Reniers, Genserik & Bai, Yiping, 2024. "Risk-based optimization of emergency response systems for accidental gas leakage in utility tunnels," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    10. Zhang, Pei & Zhang, Zhen-Ji & Gong, Da-Qing, 2024. "An improved failure mode and effect analysis method for group decision-making in utility tunnels construction project risk evaluation," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    11. Hai, Nan & Gong, Daqing & Dai, Zixuan, 2024. "Target spectrum-based risk analysis model for utility tunnel O&M in multiple scenarios and its application," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
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    4. Huang, Jing & Wang, Ziqing & Sun, Dianchen & Wang, Huimin, 2026. "Scenario deduction for urban rainstorm-induced waterlogging disaster chain based on dynamic Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 267(PB).

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