IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i5p4008-d1078364.html
   My bibliography  Save this article

Measurement and Simulation of Risk Coupling in Port Hazardous Chemical Logistics

Author

Listed:
  • Xiaoxiao Geng

    (Architecture and Art School, Hebei University of Engineering, Handan 056038, China)

  • Yongwei Lv

    (Management Engineering and Business School, Hebei University of Engineering, Handan 056038, China)

  • Li Zhao

    (Management Engineering and Business School, Hebei University of Engineering, Handan 056038, China)

  • Yingchen Wang

    (Management Engineering and Business School, Hebei University of Engineering, Handan 056038, China)

Abstract

Hazardous chemical logistics and transportation accidents are the main type of port safety accidents. Correctly and objectively analyzing the causes of port hazardous chemical logistics safety accidents and the coupling mechanisms of risk generation are very important for reducing the occurrence of port hazardous chemical safety accidents. Based on the causal mechanism and coupling principle, in this paper, we construct a risk coupling system for port hazardous chemical logistics and analyze the coupling effects in the risk system. More specifically, a personnel–ship–environment–management system is established and the coupling between the four systems is explored. Taking Tianjin Port as an example, the risk coupling factors are analyzed in combination with system dynamics simulation. Under dynamic changes in coupling coefficients, the change of coupling effects are explored more intuitively, the logical relationships between logistics risks are analyzed and deduced, a comprehensive view of the coupling effects and their evolution process in accidents is provided, and the key causes of accidents and their coupling risk effects are identified. For port hazardous chemicals logistics safety accidents, the presented results not only allow for effective analysis of the causes of safety accidents, but also provide reference for the formulation of prevention strategies.

Suggested Citation

  • Xiaoxiao Geng & Yongwei Lv & Li Zhao & Yingchen Wang, 2023. "Measurement and Simulation of Risk Coupling in Port Hazardous Chemical Logistics," IJERPH, MDPI, vol. 20(5), pages 1-27, February.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:4008-:d:1078364
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/5/4008/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/5/4008/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Guo, Jian & Luo, Cheng & Ma, Kaijiang, 2023. "Risk coupling analysis of road transportation accidents of hazardous materials in complicated maritime environment," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    2. Yutong Xue & Pengcheng Xiang & Fuyuan Jia & Zhaowen Liu, 2020. "Risk Assessment of High-Speed Rail Projects: A Risk Coupling Model Based on System Dynamics," IJERPH, MDPI, vol. 17(15), pages 1-27, July.
    3. Ming Fang & Yi Zhang & Mengjue Zhu & Shaopei Chen, 2022. "Cause Mechanism of Metro Collapse Accident Based on Risk Coupling," IJERPH, MDPI, vol. 19(4), pages 1-18, February.
    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. Wang, Jian & Gao, Shibin & Yu, Long & Liu, Xingyang & Neri, Ferrante & Zhang, Dongkai & Kou, Lei, 2024. "Uncertainty-aware trustworthy weather-driven failure risk predictor for overhead contact lines," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    2. Guo, Jian & Ma, Kaijiang, 2024. "Risk analysis for hazardous chemical vehicle-bridge transportation system: A dynamic Bayesian network model incorporating vehicle dynamics," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    3. Yong Zhang & Qi Zhang & Xiang Zhang & Meng Li & Guoqing Qi, 2024. "How Do We Analyze the Accident Causation of Shield Construction of Water Conveyance Tunnels? A Method Based on the N-K Model and Complex Network," Mathematics, MDPI, vol. 12(20), pages 1-30, October.
    4. Jeong-Hun Won & Hyeon-Ji Jeong & WonSeok Kim & Seungjun Kim & Sung-Yong Kang & Jong Moon Hwang, 2022. "Mechanisms Analysis for Fatal Accident Types Caused by Multiple Processes in the Workplace: Based on Accident Case in South Korea," IJERPH, MDPI, vol. 19(18), pages 1-23, September.
    5. Wang, Jinpei & Bai, Xuejie & Liu, Yankui, 2023. "Globalized robust bilevel optimization model for hazmat transport network design considering reliability," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    6. Liwei Yuan & Di Chen & Sumin Li & Guolong Wang & Yanlin Li & Bin Li & Minghui Chen, 2024. "Coupled Analysis of Risk Factor for Tailing Pond Dam Failure Accident Based on N–K Model and SNA," Sustainability, MDPI, vol. 16(19), pages 1-20, October.
    7. 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).
    8. Yuanwen Han & Jiang Shen & Xuwei Zhu & Bang An & Fusheng Liu & Xueying Bao, 2024. "Study on the Mechanism of Safety Risk Propagation in Subway Construction Projects," Sustainability, MDPI, vol. 16(2), pages 1-27, January.
    9. Zhang, Hengqi & Geng, Hua & Zeng, Huarong & Jiang, Li, 2023. "Dynamic risk evaluation and control of electrical personal accidents," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    10. Bugalia, Nikhil & Maemura, Yu & Dasari, Rohit & Patidar, Manoj, 2023. "A system dynamics model for effective management strategies of High-Speed Railway (HSR) projects involving private sector participation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    11. 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:jijerp:v:20:y:2023:i:5:p:4008-:d:1078364. 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.