IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i21p15609-d1273947.html
   My bibliography  Save this article

Analysis of Key Injury-Causing Factors of Object Strike Incident in Construction Industry Based on Data Mining Method

Author

Listed:
  • Wei Yang

    (Department of Safety Engineering, School of Geology Engineering and Geomatics, Chang’an University, Xi’an 710000, China)

  • Zheng Lu

    (Department of Safety Engineering, School of Geology Engineering and Geomatics, Chang’an University, Xi’an 710000, China)

Abstract

Incidents are caused by a variety of factors, and there are correlations between incident causative factors. How to effectively clarify the importance of incidental injury-causing factors and their correlations is the current technical challenge in the field of incident causation analysis. This paper takes the study of injury-causing factors and their relationships between object-striking incidents in the process of construction as an example, and it statistically analyzes the incident investigation reports of 126 cases of object-striking incidents in construction projects in China from 2016 to 2022; it screens out 52 categories of incident-causing factors. The Apriori algorithm and FP-growth algorithm are used to data mine the influencing factors obtained from the 126 object-striking incidents: 28 main incident causative items of object-striking incidents and the respective correlation degree between each factor are obtained. By analyzing the support degree of the main incident causation items, as well as comparing and analyzing the results of the incident causation support degree and association rules with Bayesian inference, 9 key injury-causing factors of object-striking incidents are identified. The research results put forward a new research idea for the analysis of the injury factors of object-striking incidents in construction, which can provide theoretical reference for improving the pertinence and effectiveness of incident prevention measures.

Suggested Citation

  • Wei Yang & Zheng Lu, 2023. "Analysis of Key Injury-Causing Factors of Object Strike Incident in Construction Industry Based on Data Mining Method," Sustainability, MDPI, vol. 15(21), pages 1-24, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:21:p:15609-:d:1273947
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/21/15609/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/21/15609/
    Download Restriction: no
    ---><---

    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:15:y:2023:i:21:p:15609-:d:1273947. 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.