IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i19p8531-d1490005.html
   My bibliography  Save this article

Dynamic Analysis and Temporal Governance of Safety Risks: Evidence from Underground Construction Accident Reports

Author

Listed:
  • Xiuyu Wu

    (School of Management Science and Engineering, Tianjin University of Finance and Economics, Tianjin 300222, China)

  • Pengkai Sun

    (School of Business, Nanjing Normal University, Nanjing 210023, China)

Abstract

Due to the complexity and dynamics of underground construction projects, safety risk management has experienced significant challenges restricting the sustainable development of underground space. The research on risk causal chains and risk coupling has yet to reveal the dynamic interactive characteristics of these risk factors and their temporal relationships over time. This study utilized a complex system view for safety risk analysis, using 37 accident investigation reports of underground construction projects. Combined with two novel and emerging analytical methods, temporal qualitative comparative analysis and crisp-set qualitative comparative analysis, this study discusses the temporal relationship of risk factors to the cause of accidents and explores the multi-actor coupling characteristics of management risk. The findings indicate that (1) compared with general construction projects, underground construction should pay more attention to management safety risks because they have an obvious time lag effect expressed in all accident causation paths, namely, preceding management risk, management risk, and machine/material risk cross-concurrently, and management risk initiation and (2) underground construction project management risks have three key main paths, namely, single-actor-dominated management deficiency (supervisors, owners, and subcontractors that cause management risks as a single-core actor) and dual-actor-dominated management deficiency (owner and subcontractor as dual core actors of management risk). Multi-actor-dominated management deficiency (owners, subcontractors, and supervisors are the multiple core actors of management risk). This study thus developed a temporal governance framework of underground construction safety risks based on the synergy of multi-actors and proposed risk governance strategies, such as synergistic multi-actor governance, to consider the temporal relationship of safety risk. This study further reveals the temporal and coupling characteristics of safety risks to enrich the risk casual chain theory and risk coupling theory and establish a systematic risk analysis framework for new guidance for safety and risk management for underground construction projects.

Suggested Citation

  • Xiuyu Wu & Pengkai Sun, 2024. "Dynamic Analysis and Temporal Governance of Safety Risks: Evidence from Underground Construction Accident Reports," Sustainability, MDPI, vol. 16(19), pages 1-24, September.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:19:p:8531-:d:1490005
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/19/8531/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/19/8531/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Feng Xiong & Yaxin Shao & Haotian Fan & Yi Xie, 2023. "Analysis of the Motivation behind Corporate Social Responsibility Based on the csQCA Approach," Sustainability, MDPI, vol. 15(13), pages 1-29, July.
    2. Antoine J.‐P. Tixier & Matthew R. Hallowell & Balaji Rajagopalan, 2017. "Construction Safety Risk Modeling and Simulation," Risk Analysis, John Wiley & Sons, vol. 37(10), pages 1917-1935, October.
    3. Qiao, Wanguan, 2021. "Analysis and measurement of multifactor risk in underground coal mine accidents based on coupling theory," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    4. Rui Cheng & Jiaming Wang & Pin-Chao Liao, 2021. "Temporal Visual Patterns of Construction Hazard Recognition Strategies," IJERPH, MDPI, vol. 18(16), pages 1-23, August.
    5. Zhiqiang Xie & Fengshan Jiang & Jiarui Xu & Zhengang Zhai & Jianglong He & Daoyang Zheng & Junyu Lian & Zhiqun Hou & Lei Zhao & Yanxia Wang & Yuyun Feng, 2023. "A Narrative of Urban Underground Pipeline System Disasters in China in 2021: Spatial and Temporal Distribution, Causal Analysis, and Response Strategies," Sustainability, MDPI, vol. 15(13), pages 1-23, June.
    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. Bhardwaj, U. & Teixeira, A.P. & Guedes Soares, C., 2022. "Casualty analysis methodology and taxonomy for FPSO accident analysis," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).
    2. Haleh Sadeghi & Saeed Reza Mohandes & M. Reza Hosseini & Saeed Banihashemi & Amir Mahdiyar & Arham Abdullah, 2020. "Developing an Ensemble Predictive Safety Risk Assessment Model: Case of Malaysian Construction Projects," IJERPH, MDPI, vol. 17(22), pages 1-25, November.
    3. Ma, Xiaoxue & Deng, Wanyi & Qiao, Weiliang & Lan, He, 2022. "A methodology to quantify the risk propagation of hazardous events for ship grounding accidents based on directed CN," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    4. Liu, Zengkai & Ma, Qiang & Cai, Baoping & Shi, Xuewei & Zheng, Chao & Liu, Yonghong, 2022. "Risk coupling analysis of subsea blowout accidents based on dynamic Bayesian network and NK model," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    5. Huang, Zhian & Song, Donghong & Hu, Xiangming & Zhang, Yinghua & Gao, Yukun & Quan, Sainan & Yin, Yichao & Yang, Yifu & Luo, Hongsen & Ji, Yucheng, 2022. "A novel nano-modified inhibitor of tert-butyl hydroquinone/sodium polyacrylate for inhibiting coal spontaneous combustion," Energy, Elsevier, vol. 256(C).
    6. 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).
    7. Han, Shuai & Chen, Hong & Long, Ruyin & Jiskani, Izhar Mithal, 2022. "Can miners' social networks affect their safety commitment? A case study of Chinese coal mining enterprises," Resources Policy, Elsevier, vol. 75(C).
    8. 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).
    9. Fan, Cunlong & Montewka, Jakub & Bolbot, Victor & Zhang, Yang & Qiu, Yuhui & Hu, Shenping, 2024. "Towards an analysis framework for operational risk coupling mode: A case from MASS navigating in restricted waters," Reliability Engineering and System Safety, Elsevier, vol. 248(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:gam:jsusta:v:16:y:2024:i:19:p:8531-:d:1490005. 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.