Graphical fault tree analysis for fatal falls in the construction industry

Chi, Chia-Fen; Lin, Syuan-Zih; Dewi, Ratna Sari

doi:10.1016/j.aap.2014.07.019

Cited by 65 publications

(25 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In light of these insights, effective handling of safety issues at the construction workplace has become the main attention of many researchers and experts. Unsafe behaviour was found as the root of all accidents in the construction industry in Taiwan [23] and other construction sites [20,24,25]. Thus, it is inevitable to examine the human factors and the safety behaviour of workers in construction industry.…”

Section: Background Of Researchmentioning

confidence: 99%

Developing an Effective Conceptual Framework for Safety Behaviour in Construction Industry

et al. 2018

View full text Add to dashboard Cite

The construction industry involves one of the most hazardous occupation for workers due to complex management processes, environmental issues, work pressure and heavy and complicated equipment involved in modern construction projects. Despite the advancement of technology in the construction industry, an escalating number of fatal accidents occur because of the human errors and the unsafe behaviours. In this research, an analysis for previous studies has been conducted to define all safety behavioural factors in construction industry for improving the safety performance in construction industry. All the studies were categorised in accordance with their methodologies, analytical methods, variables, and the findings in order to build an effective conceptual framework. The framework comprises of three main categories that incur direct impact toward the safety behaviour in construction industries, namely: (a) organizational factors, (b) safety climate factors, and (c) individual factors. Each category has own variables which make a total of 16 factors for all categories. The framework facilitates to assess the effectiveness of a construction industry, identify the deficiencies and the weakness, and create procedures to manage the accident in future by controlling the safety behaviour of employees.

show abstract

Section: Background Of Researchmentioning

confidence: 99%

Developing an Effective Conceptual Framework for Safety Behaviour in Construction Industry

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Chi et al . [13] applied fault tree analysis to investigate falling accidents in the construction industry. Dong & Yu [15] calculated the failure probability of gas transmission by fault tree analysis.…”

Section: Introductionmentioning

confidence: 99%

Mine safety assessment based on basic event importance: grey relational analysis and bow tie model

et al. 2018

R. Soc. open sci.

View full text Add to dashboard Cite

Safety assessments are a crucial first step in preventing coal and gas outburst accidents. The main purpose of this study was to create a new accident prevention technique using a novel safety assessment method based on fault tree basic event importance, grey relational analysis and the bow tie model. The innovation of the proposed method lies in generating the composite importance of a basic event from the fundamental importance via grey relational analysis; bow tie analysis serves to reveal the most critical basic event. First, the minimal cut sets and minimal path sets of a coal and gas outburst accident are determined by fault tree analysis. The role of minimal cut and path sets is determined and the coal and gas outburst occurrence frequency is calculated accordingly. Second, the structure, probability, critical and Fussell–Vesely importance ranked basic events differently due to different aspects of the basic events as investigated. We establish a composite importance to represent single basic events and achieved new ranking results by grey relational analysis. Third, the critical basic event low permeability coefficient is analysed via bow tie model and safety measures are defined which prevent the dangerous consequences of a low permeability coefficient. An actual coal and gas outburst accident is used as a case study to test the feasibility and effectiveness of the proposed method.

show abstract

“…Chi et al [17] stated that the main cause of fall from scaffolds accident was the combination between improper use of the scaffolds and fall protection system.…”

Section: Analysis Of Heartmentioning

confidence: 99%

Implementation of Performance Shaping Factor (PSF)-based Risk Assessment and Human Error Assessment and Reduction Technique (HEART) at the ITB Student Dormitory Building C and D Construction Project

Junianto¹,

Oginawati²

2018

KLS

View full text Add to dashboard Cite

Construction sector is one of the main pillars in the economic development of the world, including Indonesia. However, the number of occupational accidents in the construction sector is still relatively high until now. 60 to 70 percent of occupational accidents in many employment sectors are caused by human errors. Therefore, the analysis of human error is important to be implemented. The objectives of this study were to know the stages/ types of work in the project with the greatest risk, to know the type of occupational accident with the highest HEP (human error probability), to know the main cause of human error occurred, as well as to know the implementation of health and safety in the project based on human error analysis performed. The methods used in this research were PSF (performance shaping factor)-based risk assessment and HEART (human error assessment and reduction technique). The research tools used for the primary data collection were interview and observation. Secondary data needed were occupational accidents data and work procedures from the project health and safety supervisor. Based on the PSF-based risk assessment method, it was known that the type of work with the highest risk occurred in the iron reinforcement welding to steel columns or beams (from columns and beams work and concrete canopy work), with the risk value of 24 (of 24), which resulted from fall from height hazard. While the HEART method showed that the fall from height accident had the highest HEP value (4.75) among any other accidents. The main cause of the human error occurred in the project was the absence of complete written procedures for workers. Based on the analysis performed, it could be known that the company needed to improve the implementation of health and safety in the project, which could be done systematically, started from the employers, safety supervisor, and workers.

show abstract

Graphical fault tree analysis for fatal falls in the construction industry

Cited by 65 publications

References 18 publications

Developing an Effective Conceptual Framework for Safety Behaviour in Construction Industry

Developing an Effective Conceptual Framework for Safety Behaviour in Construction Industry

Mine safety assessment based on basic event importance: grey relational analysis and bow tie model

Implementation of Performance Shaping Factor (PSF)-based Risk Assessment and Human Error Assessment and Reduction Technique (HEART) at the ITB Student Dormitory Building C and D Construction Project

Contact Info

Product

Resources

About