IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i15p2756-d254069.html
   My bibliography  Save this article

Application of an Improved Model for Accident Analysis: A Case Study

Author

Listed:
  • Jianhao Wang

    (School of Transportation & Logistics Engineering, Shandong Jiaotong University, Jinan 250357, China)

  • Mingwei Yan

    (School of Transportation & Logistics Engineering, Shandong Jiaotong University, Jinan 250357, China)

Abstract

An improved accident causation model which demonstrates the relationships among different causal factors was proposed in this study. It provides a pathway for accident analysis from the individual level to the organizational level. Unsafe acts and conditions determined by individuals’ poor safety knowledge, low safety awareness, bad safety habits, etc. are the immediate causes of an accident. Deficiencies in safety management systems and safety culture remain the root causes, which can cause consequences at the individual level. Moreover, the weaknesses of an organization’s safety culture can have a great impact on the formation of a good safety climate and can further lead to poor decision-making and implementation of procedures in the safety management system. In order to contribute to a better perception and understanding of the accident causation model, one typical case in the process industry, the oil leak and explosion of the Sinopec Donghuang pipelines, was selected for this study. The causality from immediate causes to root causes is demonstrated in sequence and can be shown in this model explicitly and logically. Several important lessons are summarized from the results and targeted measures can be taken to avoid similar mistakes in the future. This model provides a clear and resourceful method for the safety and risk practitioner’s toolkit in accident investigation and analysis, and the organization can use it as a tool to conduct staff trainings and thus to keep accidents under control.

Suggested Citation

  • Jianhao Wang & Mingwei Yan, 2019. "Application of an Improved Model for Accident Analysis: A Case Study," IJERPH, MDPI, vol. 16(15), pages 1-12, August.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:15:p:2756-:d:254069
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/15/2756/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/15/2756/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mara Lombardi & Mario Fargnoli & Giuseppe Parise, 2019. "Risk Profiling from the European Statistics on Accidents at Work (ESAW) Accidents′ Databases: A Case Study in Construction Sites," IJERPH, MDPI, vol. 16(23), pages 1-22, November.
    2. Xun Liu & Xiaobo Li, 2022. "Exploring the Formation Mechanism of Unsafe Construction Behavior and Testing Efficient Occupational Health and Safety (OHS) Programs," IJERPH, MDPI, vol. 19(4), pages 1-19, February.
    3. Xuecai Xie & Jun Hu & Gui Fu & Xueming Shu & Yali Wu & Lida Huang & Shifei Shen, 2023. "Investigation of Unsafe Acts Influence Law Based on System Dynamics Simulation: Thoughts on Behavior Mechanism and Safety Control," IJERPH, MDPI, vol. 20(6), pages 1-30, March.
    4. Xiaolong Wang & Boling Zhang & Xu Zhao & Lulu Wang & Ruipeng Tong, 2020. "Exploring the Underlying Causes of Chinese Eastern Star, Korean Sewol, and Thai Phoenix Ferry Accidents by Employing the HFACS-MA," IJERPH, MDPI, vol. 17(11), pages 1-19, June.
    5. Mingwei Yan & Wentao Chen & Jianhao Wang & Mengmeng Zhang & Liang Zhao, 2021. "Characteristics and Causes of Particularly Major Road Traffic Accidents Involving Commercial Vehicles in China," IJERPH, MDPI, vol. 18(8), pages 1-18, April.

    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:16:y:2019:i:15:p:2756-:d:254069. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.