Comparative Analysis of the Patterns of Unsafe Behaviors in Accidents between Building Construction and Urban Railway Construction

Guo, Shengyu; Tang, Bing; Liang, Kongzheng; Zhou, Xinyu; Li, Jichao

doi:10.1061/(asce)co.1943-7862.0002013

Cited by 16 publications

(4 citation statements)

References 46 publications

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“…The weight of each edge is identified by the number of connections between unsafe behaviors. Compared to the previous studies (Guo et al, 2020(Guo et al, , 2021, the weighted network is more reliable because the interaction strength among unsafe behaviors could be described (Zhou et al, 2015). Hence, a directed weighted network is built, which is called a directed weighted-behavioral risk chain network of accidents (DW-BRCNA).…”

Section: Complex Networkmentioning

confidence: 99%

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

Tang

Guo

et al. 2022

Journal of Civil Engineering and Management

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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.

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Section: Complex Networkmentioning

confidence: 99%

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

Tang

Guo

et al. 2022

Journal of Civil Engineering and Management

Self Cite

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“…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;…”

Section: Network Approaches Research Objects and Analysis Processmentioning

confidence: 99%

Research Paradigm of Network Approaches in Construction Safety and Occupational Health

Liu

Cui

et al. 2022

IJERPH

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Construction safety accidents seriously threaten the lives and health of employees; however, the complexity of construction safety problems continues to increase. Network approaches have been widely applied to address accident mechanics. This study aims to review related studies on construction safety and occupational health (CSOH) and summarize the research paradigm of recent decades. We solicited 119 peer-reviewed journal articles and performed a bibliometric analysis as the foundation of the future directions, application bottlenecks, and research paradigm. (1) Based on the keyword cluster, future directions are divided into four layers: key directions, core themes, key problems, and important methods. (2) The network approaches are not independently applied in the CSOH research. It needs to rely on different theories or be combined with other methods and models. However, in terms of approach applications, there are still some common limitations that restrict its application and development. (3) The research paradigm of network analysis process can be divided into four stages: description, explanation, prediction, and control. When the same network method encounters different research objects, it focuses on different analysis processes and plays different roles.

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“…First, the direct cause of each event is analyzed, and the corresponding behavior name is determined according to the root cause analysis. To determine the types of unsafe behaviors reasonably, the types of unsafe behaviors were revised and sorted out based on previous research (Guo et al, 2021a). In total, 85 kinds of unsafe behaviors were obtained after revising in the final.…”

Section: Unsafe Behavior Network Constructionmentioning

confidence: 99%

Cascading vulnerability analysis of unsafe behaviors of construction workers from the perspective of network modeling

Duan

Zhou

2021

ECAM

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PurposeThe construction industry is an industry with a high incidence of safety accidents, and the interactions of unsafe behaviors of construction workers are the main cause of accidents. The neglect of the interactions may lead to serious underestimation of safety risks. This research aims to analyze the cascading vulnerability of unsafe behaviors of construction workers from the perspective of network modeling.Design/methodology/approachAn unsafe behavior network of construction workers and a cascading vulnerability analysis model were established based on 296 actual accident cases. The cascading vulnerability of each unsafe behavior was analyzed based on the degree attack strategy.FindingsComplex network with 85 unsafe behavior nodes is established based on the collected accidents in total. The results showed that storing in improper location, does not wear a safety helmet, working with illness and working after drinking are unsafe behaviors with high cascading vulnerability. Coupling analysis revealed that differentiated management strategies of unsafe behaviors should be applied. Besides, more focus should be put on high cascading vulnerability behaviors.Originality/valueThis research proposed a method to construct the cascading failure model of unsafe behavior for individual construction workers. The key parameters of the cascading failure model of unsafe behaviors of construction workers were determined, which could provide a reference for the research of cascading failure of unsafe behaviors. Additionally, a dynamic vulnerability research framework based on complex network theory was proposed to analyze the cascading vulnerability of unsafe behaviors. The research synthesized the results of dynamic and static analysis and found the key control nodes to systematically control unsafe construction behaviors.

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Comparative Analysis of the Patterns of Unsafe Behaviors in Accidents between Building Construction and Urban Railway Construction

Cited by 16 publications

References 46 publications

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

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

Research Paradigm of Network Approaches in Construction Safety and Occupational Health

Cascading vulnerability analysis of unsafe behaviors of construction workers from the perspective of network modeling

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