Factors influencing fire accidents in urban complexes: a combined DEMATEL and ISM study.

Fire outbreaks in urban complexes are a major safety concern worldwide. Therefore, this study aims to examine the critical factors that influence fire accidents and their interaction mechanisms in urban settings. A (software factors, hardware factors, environmental factors, parties and other factors, SHEL) model is developed to identify 15 risk factors in four categories affecting fire incidents in urban complexes. The Decision-making Trial and Evaluation Laboratory method (DEMATEL) and Interpretive Structural Modeling (ISM) are employed to identify the key factors and their interrelationships, using the evaluation metrics of degree of influence, affected degree, centrality, and hierarchical structure. The results show that lack of safety management rules and regulations (S13), poor security awareness (S1), and uncorrected hidden dangers (S11) are the top three critical factors. Based on the hierarchical structure and centrality values, eight critical paths with the highest impact on fires are identified; for instance, Path 39 (comprising, lack of safety management rules and regulations (S13) → lack of fire training and drills (S12) → insufficient security knowledge (S2) → poor security awareness (S1) → poor sense of security responsibility (S3) → uncorrected hidden danger (S11) → inadequate maintenance of fire-fighting facilities (S14) → Accident), which, among all disaster impact paths, has the highest centrality value of 21.8796 (out of a total of 15 factors and total centrality value of 42.9226; Path 39 involves seven factors, but its centrality value accounts for 50.97% of the total). Finally, based on the factor analysis results, suggestions for fire control measures are provided to prevent fire accidents and ensure the safety of people and property.

Exploring the intentional unsafe behavior of workers in prefabricated construction based on structural equation modeling.

Compared with traditional onsite construction, prefabricated construction has a more complex working environment, resulting in more safety risks. While cognitive failure has been identified as a primary cause of intentional unsafe behaviors, there remains a lack of knowledge on the formation mechanism underlying intentional unsafe behaviors among workers in precast construction. Using the Theory of Planned Behavior and the risk preference variable, this study constructs a theoretical model for intentional unsafe behaviors of precast construction workers. Data related to precast construction and safety management activities is collected from 208 frontline workers. Structural Equation Modeling is used to test and modify the theoretical model in order to identify the formation mechanism and pathway underlying intentional unsafe behaviors. The findings show that: (1) workers' perceptual behavior control, behavior and attitude, risk preference, and subjective norms influence their intention to engage in unsafe behavior and subsequently lead to intentional unsafe behavior; (2) the effect of personal risk preference on intentional unsafe behaviors is significant, contributing 7.71% to overall intentional unsafe behavior; and (3) the effects of the observed variables are more evident than the initial theoretical model. The most prominent of these are the effects of task intensity (IBC1), safety equipment (IBC2), worker behavior (IOW1), historical behavior (IBC3), and behavioral belief (BAA3). Finally, comprehensive measures to control the intentional unsafe behaviors of precast construction workers are recommended. The results of this study are useful for reducing the occurrence of intentional unsafe behaviors by workers and reducing the incidence of accidents in a complex manufacturing-oriented construction environment.

Evaluating the Environmental Impact of Construction within the Industrialized Building Process: A Monetization and Building Information Modelling Approach.

Industrialization has been widely regarded as a sustainable construction method in terms of its environmental friendliness. However, existing studies mainly consider the single impact of greenhouse gas emissions or material consumption in the construction process of industrialized buildings, and pay less attention to ecological pollution and community interest, which leads to an insufficient understanding. There is an urgent need to systematically carry out accurate assessment of comprehensive construction environmental impact within industrialized building processes. Various methods, including face-to-face interviews, field research and building information modeling (BIM), were used for data collection. Four categories selected for the study included resource consumption, material loss, ecological pollution, and community interest. A life cycle assessment (LCA) model, namely input-process-output model (IPO), is proposed to analyze the construction environmental impact of the standard layer of industrialized buildings from four life cycle stages, namely, transportation, stacking, assembly and cast-in-place. The monetization approach of willingness to pay (WTP) was applied to make a quantitative comparison. Results reveal that the assembly stage has the largest impact on the environment at 66.13% among the four life cycle stages, followed by transportation at 16.39%, stacking at 10.29%, and cast-in-place at 7.19%. The key factors include power consumption, noise pollution, material loss, fuel consumption and component loss, which altogether account for more than 85% of the total impact. Relevant stakeholders can conduct their project using the same approach to determine the construction environmental performance and hence introduce appropriate measures to mitigate the environmental burden.