China Safety Science Journal ›› 2023, Vol. 33 ›› Issue (5): 152-157.doi: 10.16265/j.cnki.issn1003-3033.2023.05.0503

• Public safety • Previous Articles     Next Articles

Research on causes of urban rail delay risk based on HFACS model

LI Lei1,2(), LI Jiang'e1,2, REN Yufei1,2, TANG Xiaoxiao3   

  1. 1 Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Province, Jinhua Zhejiang 321004, China
    2 College of Engineering, Zhejiang Normal University, Jinhua Zhejiang 321004, China
    3 Bwton Technology Co., Ltd., Hangzhou Zhejiang 311100, China
  • Received:2022-12-09 Revised:2023-03-06 Online:2023-05-28 Published:2023-11-28

Abstract:

In order to explore the causes of UR train delays and find out the key factors causing delays, firstly, an HFACS-UR model based on HFACS method was proposed for analyzing UR train delay. Secondly, the causes analysis of UR trains delay was carried out from four aspects: unsafe acts, preconditions for unsafe acts, unsafe supervision and organizational influences. Pearson correlation coefficient method was used to analyze the correlation between factors. Finally, prevention suggestions for UR train delays were proposed. The results show that unsafe behaviors focus on skill errors and decision-making errors. The premise of unsafe behavior is mainly manifested in the lack of personal skills and improper reporting and communication. Unsafety supervision is mainly reflected in inadequate supervision and improper operation plan. The organizational impact involves the organizational process and resource management, which is reflected in the imperfect standard regulations, emergency procedures and personnel training.

Key words: urban rail(UR), train delays, human factor analysis and classification system (HFACS), causative factor, Pearson correlation coefficient