Exploring the Risk Transmission Characteristics Among Unsafe Behaviors Within Urban Railway Construction Accidents

Abstract

Various construction accidents are proven to be caused by multiple unsafe behaviors (e.g., wrong use of PPE), but the risk transmission among different behaviors remains unclear. This paper provides insight into risk transmission through behavioral risk chain that leads to accidents from a system safety perspective. To better understand the coupling mechanism of various unsafe behaviors, integrate different behavioral risk chains and present the risk transmission process, a directed-weighted complex network (DWCN) method was adopted. Historical urban railway construction accidents in China are investigated to extract behavioral risk chain. A DW-BRCNA is applied to integrated behavioral risk chain and the behavioral risk transmission characteristics are explored and clarified by the five network properties, including degree and degree distribution, node strength and node strength distribution, average path length and diameter, weighted clustering coefficient and betweenness centrality. The results show that DW-BRCNA has the characteristics of a small-world, scale-free and hierarchical network, indicating that some unsafe behaviors are of greater importance in the process of risk transmission through behavioral risk chains. In addition, risk transmission in critical behavioral risk chains is more potentially to lead to accidents. This study proposed a new perspective of accident causation analysis from risk transmission among unsafe behaviors. It explains the risk transmission characteristics by a DWCN method based on behavioral risk chains. The findings also provide a practical guidance for developing control strategies on sites to prevent risk transmission and reduce accidents.

Analisis Risiko Pelaksanaan Konstruksi Di Kabupaten Nias Selatan

“…Risiko yang sering terjadi pada pelaksanaan konstruksi dapat berupa kecelakaan konstruksi maupun bencana konstruksi. Risiko kecelakaan konstruksi umumnya disebabkan oleh kelalaian dalam penerapan penggunaan alat pelindung diri dan perilaku tidak aman lainnya (Tang et al 2022).…”

A System-Theory and Complex Network-Fused Approach to Analyze Vessel–Wind Turbine Allisions in Offshore Wind Farm Waters

“…Kopsidas and Kepaptsoglou developed a public transportation network with subway stations as nodes and analyzed the importance of nodes using a combination of closeness centrality and betweenness centrality [31]. Tang et al established a directed weighted network of unsafe behavior in building accidents and analyzed its characteristics using five network attributes: degree and degree distribution, node strength and node strength distribution, average path length and diameter, weighted clustering coefficient, and intermediary degree centrality [39].…”

Research Paradigm of Network Approaches in Construction Safety and Occupational Health

“…Accident diagnosis and management [23] Fall from height; construction workers [24] Construction safety; predictive analysis; tunnel construction [28] CN Complex network Human error; safety assessment [32] explanation, prediction Near-miss; metro construction; safety management [42] Construction safety; subway construction [25] description, explanation Unsafe behaviors; accident prevention; urban railway construction [46] Safety management; design for safety (DFS); prevention through design (PTD); subway construction [69] Accident analysis; railway operational accident [70] Accident analysis; metro operation hazard network (MOHN) [71] Deep foundation pit; subway construction [17] Construction workers; unsafe behavior [72] Unsafe behavior; accident prevention; urban railway [73] Accident level; accident chain; construction [44] description, explanation, control Human factor analysis (HFA); occupational safety [48] Organizational synchronization; construction delay factors [74] CNN Convolutional neural network Fall prevention; personnel protective equipment [75] explanation, prediction, control Construction safety; guardrail detection [29] FNN Fuzzy neural network Worker-machine safety; intelligent assessment [76] explanation, prediction, control NN Neural network;…”