China Safety Science Journal ›› 2025, Vol. 35 ›› Issue (3): 142-150.doi: 10.16265/j.cnki.issn1003-3033.2025.03.0717

• Safety engineering technology • Previous Articles     Next Articles

Clustering and correlation analysis of factors causing cross operation accidents in construction

LIU Qingfeng1(), HU Changming1,2,3, ZHAO Jiangping1   

  1. 1 School of Resource Engineering, Xi'an University of Architecture and Technology, Xi'an Shaanxi 710055, China
    2 School of Civil Engineering, Xi'an University of Architecture and Technology, Xi'an Shaanxi 710055, China
    3 Xi'an Innovation College,Yan'an University,Xi'an Shaanxi 710100, China
  • Received:2024-10-14 Revised:2024-12-18 Online:2025-03-28 Published:2025-09-28

Abstract:

In order to effectively prevent cross operation accidents in the construction process, firstly, 130 cross operation accident cases nationwide from 2010 to 2022 were collected as research objects, and an evaluation system for cross operation in construction was established based on the grounded theory. Then, according to the relationship between the indicators, a spectral clustering algorithm was used to analyze the combination of accident causes. The weight of each cause factor was allocated, and different levels of risk were divided by principal component analysis and analytic hierarchy process. Finally, the Apriori algorithm was used to obtain the correlation chain of each factor in the causative combination. The results show that the evaluation system includes 5 core categories, 13 main categories and 40 categories. The core category that has the greatest influence on the risk of cross operation in the construction process is technical management. The 40 categories are grouped into 4 causa l combinations, among which 1 is high risk, 1 is medium risk, and 2 are low risk. In addition, for the complex cluster of factors, the key combination of causes is identified and targeted preventive measures are proposed to reduce the probability of cross-operation accidents.

Key words: construction work, cross operation, accident cause, cause factor, spectral clustering, association rule

CLC Number: