Improving accident analysis in construction – Development of a contributing factor classification framework and evaluation of its validity and reliability

Filho, Anastácio Pinto Gonçalves; Waterson, Patrick; Jun, Gyuchan Thomas

doi:10.1016/j.ssci.2021.105303

Cited by 30 publications

(8 citation statements)

References 68 publications

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“…Finally, he also analyzed the differences between these influencing factors and those in traditional cast-in-place buildings [10]. Many other scholars [11][12][13][14][15] conducted behavioral perception studies to analyze risk factors from management perspectives. Suraji (2001) [16] considered both the short-range and long-range effects during construction and found that different risk factors can interact.…”

Section: Literature Review 21 Risk Identification Of Safety Accidents...mentioning

confidence: 99%

Study of Occupational Safety Risks in Prefabricated Building Hoisting Construction Based on HFACS-PH and SEM

Song

Wang

Liu³

2022

IJERPH

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As the concern for environmental pollution and occupational safety caused by the construction industry is gradually increasing worldwide, the prefabricated building model has become a type of construction promoted by sustainable societies. In China, the management codes of prefabricated buildings are not mature enough and safety accidents occur frequently during the construction process. Therefore, how to analyze and determine the main factors that affect the safety of the construction of prefabricated buildings has become a problem to protect the lives and health of construction workers. In this study, we focused our research on the accident-prone component-hoisting construction phase. First, through the questionnaire and accident data, the traditional human factors analysis and classification system (HFACS) was improved into the HFACS–prefabricated building hoisting (PH) risk model. This study also established a comprehensive safety prevention and control system for the component-hoisting process of prefabricated buildings by combining the factor analysis of using structural equation modeling (SEM). The prevention and control measures to avoid the occurrence of prefabricated building component-hoisting accidents were also proposed from four aspects: external environment, organizational factors, prerequisites for triggering accidents, and unsafe leadership behaviors. The results showed the following: (1) For the external environment, occupational safety and health system standards should be established and safety supervision responsibilities should be implemented. (2) For organizational factors, safety management systems should be improved with more capital investment. (3) For unsafe leadership behaviors, safety education and training should be strengthened to ensure workers’ optimal physical and psychological states. (4) For the prerequisite of accidents, it is necessary to create a good hoisting work environment.

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Section: Literature Review 21 Risk Identification Of Safety Accidents...mentioning

confidence: 99%

Study of Occupational Safety Risks in Prefabricated Building Hoisting Construction Based on HFACS-PH and SEM

Song

Wang

Liu³

2022

IJERPH

View full text Add to dashboard Cite

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“…Shin (2015) [13] studied causes of tower crane disassembly and assembly accidents from 2001 to 2011 [14] and explained safety management according to risks in workers' occupational norms, mechanical performance and quality. Some [15][16][17][18][19] explored behavioral perception and explained risk factors from the perspective of management. There are also many scholars who believe risk source events cause accidents, and achieve great results in identifying key risk factors and establishing evaluation indicators via cloud model [20,21], grey clustering [22] and other methods, providing a basic framework for understanding occurrence of safety accidents in prefabricated construction projects.…”

Section: Literature Review Risk Probability Research Of Prefabricated...mentioning

confidence: 99%

On Risk Probability of Prefabricated Building Hoisting Construction Based on Multiple Correlations

et al. 2022

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With growing concern about environmental pollution and occupational safety in construction industry globally, prefabricated building has become a popular building model in sustainable society. In China, management specifications of prefabricated buildings are far from mature, and safety accidents occur frequently in construction. In order to comprehensively analyze risks in hoisting construction of prefabricated buildings, this study, in view of characteristics of hoisting construction process and correlations in complex system, summarizes risk factors and classifies them according to Wuli-Shili-Renli (WSR) system. From perspective of multiple correlations, evolution mechanism of multi-system correlation and multi-risk correlation is carried out, so as to explore risk probability of hoisting construction of prefabricated buildings. At the same time, this study extends Two Additive Choquet Integral (TACI) operator and Decision-making Trial and Evaluation Laboratory (DEMATEL) in dynamic stochastic environment to construct a two-stage model for risk probability research of hoisting construction, hoping to profoundly reveal influence of risk factors and their dynamic evolution. The results show that: (1) risk probability presented a seasonal, dynamic change trend, which meant rising first, then falling, and finally keeping rising, thus regular inspection and dynamic monitoring are required in hoisting construction in these regions in the first three quarters. (2) the influence of each risk factor demonstrated dynamic changes, and risk sources that need to prevent and defuse at different time points are varied, thus targeted measures catering to different risk sources are required. (3) the degree of risk controllability is in dynamic change, but classification of cause or result in the region at the period remains the same, thus necessitating targeted response measures aimed at various risk types. (4) Individual risks like hoisting job climated break out periodically, so the law of risk occurrence should be mastered and relative precautionary measures should be taken in advance.

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“…Conversely, organizations create value by converting inputs into outputs through Energy consumption indicators profoundly reflect the industrial structure of a country, and the degree of optimization of industrial structure in turn determines the total amount of energy consumption and the level of utilization. Accident disasters are closely related to industrial structure, and the risk intensity of industrial accidents in the secondary industry, such as construction and mining, is higher than that in the primary and tertiary industries [57,58]. Therefore, the authors believe that in the economic structure of a country or region, the higher the proportion of non-agricultural industries in the three industrial structures, the greater the pressure of accidents and disasters.…”

Section: Analysis On the Characteristics Of Accidents And Economic Indicatorsmentioning

confidence: 99%

Analysis of the Correlation between Occupational Accidents and Economic Factors in China

Wei

Min

et al. 2021

IJERPH

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One of the important factors affecting the production safety of a country or region is the level of economic development. Avoiding accidents under the condition of ensuring economic development is a problem that needs in-depth research. On the basis of collecting the data of occupational accidents and economic development indicators in China from 2000 to 2020, this paper studies the relationship between occupational accidents and five economic indicators, such as resident consumption, energy consumption, education funds, wage level and research input. The grey working accident model of Gaussian function is established, the occurrence trend of occupational accidents is quantitatively analyzed, and the accident reduction measures are suggested based on the relationship between accidents and economy. The results show that there is a strong correlation between accident and economic indicators, and the comprehensive correlation coefficient among scientific research investment, education funds and accident indicators is significantly higher than that of other economic indicators. Increasing investment in scientific research and education is conducive to improving the quality of workers and training safety professionals and can effectively reduce workplace accidents.

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Improving accident analysis in construction – Development of a contributing factor classification framework and evaluation of its validity and reliability

Cited by 30 publications

References 68 publications

Study of Occupational Safety Risks in Prefabricated Building Hoisting Construction Based on HFACS-PH and SEM

Study of Occupational Safety Risks in Prefabricated Building Hoisting Construction Based on HFACS-PH and SEM

On Risk Probability of Prefabricated Building Hoisting Construction Based on Multiple Correlations

Analysis of the Correlation between Occupational Accidents and Economic Factors in China

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