Fuzzy Structural Equation Model to Assess Construction Site Safety Performance

Gunduz, Murat; Birgönül, M. Talat; Özdemir, Mustafa

doi:10.1061/(asce)co.1943-7862.0001259

Cited by 57 publications

(39 citation statements)

References 48 publications

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“…Further, Liu et al, (2015) developed a model for construction professionals by investigating the implications of the operational excellence concept through behavioural and cultural elements influencing the construction safety performance. From a more structured perspective, Gunduz, Birgonul and Ozdemir (2017) assessed the construction safety performance in Turkey by establishing a fuzzy structural equation model, and further classified the 30 most important observable variables under seven dimensions: demolition works, working at height and protection against falling, welding works, personal protective equipment, lighting and electricity, workers, and ladders and stairs. Based on the review of related literature, several studies from various perspectives have reported elements of a poor construction safety performance.…”

Section: Literature Reviewmentioning

confidence: 99%

Key Factors Affecting Construction Safety Performance in Developing Countries: Evidence from Cambodia

Durdyev

Mohamed

Lay

et al. 2017

CEB

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Although proper safety management in construction is of utmost importance; anecdotal evidence suggests that safety is not adequately considered in many developing countries. This paper considers the key variables affecting construction safety performance in Cambodia. Using an empirical questionnaire survey targeting local construction professionals, respondents were invited to rate the level of importance of 30 variables identified from the seminal literature. The data set was subjected to factor analysis. Correlations between the variables show that five key factors underlie the challenges facing the local industry; management and organisation, resources, site management, cosmetic and workforce. It is found that the forefront construction professionals (top management and government authorities) should take more responsibilities for further improvements in safety performance on project sites. Findings and recommendations of this study may be useful to construction professional who are seeking ways to improve safety records in developing countries.

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Section: Literature Reviewmentioning

confidence: 99%

Key Factors Affecting Construction Safety Performance in Developing Countries: Evidence from Cambodia

Durdyev

Mohamed

Lay

et al. 2017

CEB

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“…To assess the safety risks that threaten the lives of different working trades involved in construction activities, Amiri et al (2017) developed a fuzzy rule-based system. In another study, Gunduz et al (2016) developed a fuzzy structural equation model for development of a safety performance index in construction sites. developed a comprehensive framework for making improvement in the assessment of risks in the construction sector, based on the exploitation of traditional risk matrix concept.…”

Section: Introductionmentioning

confidence: 99%

Assessing Construction Labours’ Safety Level: A Fuzzy McDm Approach

Mohandes

Sadeghi

Mahdiyar

et al. 2020

Journal of Civil Engineering and Management

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Risk decision matrix has widely been favoured by the researchers in the area of construction safety risk assessment. Although it provides the construction safety professionals with the final illustration of the risks magnitude, it suffers from major shortcomings, including inability to considering the importance of probability and severity, impaired analysis resulting from the use of raw numbers for ratings, and the limited range of classifications for assessing the risks. All these shortages give an impaired insight to the concerned parties, deteriorating the involved workers' safety. As such, this paper aims to develop a novel Risk Assessment Model (RAM) through the integration of the Fuzzy Best Worst Method (FBWM) with the Interval-Valued Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (IVFTOPSIS). Based on the application of RAM to a real-life case study, it was observed that the developed RAM contributes to the body of construction safety risk assessment in five unique ways: (1) computing the importance of the two risk parameters (i.e. probability and severity) using fuzzy-reference-based comparisons, (2) obviating the needs for having statistical data, (3) prioritizing the identified risks using the combination of interval-valued triangular fuzzy numbers with TOPSIS, (4) providing the safety analysts with wider ranges of classifications for conducting risk assessment, and (5) providing the safety professionals with appropriate evaluation strategies for controlling the analysed risks. The developed model in the study can be applied to any projects, giving a conclusive plan to the concerned safety professionals for adopting the further prudent mitigation measurements.

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“…Failure of adoption and assurance of construction safety against accident in construction projects have affected the projects negatively. It is the main cause of project delay (Aziz and Abdel-Hakam 2016;Burr 2016) and affects the quality of construction works (Larsen et al 2015;Rumane 2016;Zeng et al 2015), decreases the labourer's productivity (Hiyassat et al 2016;Sveikauskas et al 2016), leads to cost overrun of the project (Jadhav et al 2016;Shehu et al 2014), arises dispute between stakeholders (Gunduz et al 2016) and affects the psychology of workers negatively (Leung et al 2015). It shows a clear picture that the Bangladeshi industry is not going with good condition due to many issues, but the prime one is accidents in construction projects.…”

Section: Introductionmentioning

confidence: 99%

Causes of Accident at Construction Sites in Bangladesh

Ahmed

2019

Organization, Technology and Management in Construction: An International Journal

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Abstract Bangladeshi construction industry suffers more safety issues than other developing countries in the world. Among many of these, accidents at the construction site go far beyond and shape a horrific figure of death every year. The aims of this study are to identify and prioritize the causes of accidents. This study also analyses and discusses causes of accident at the construction site in Bangladesh. A widespread literature review and open discussion took place to identify the causes and design the questionnaire. The questionnaire-based survey was used to elicit the attitude of four stakeholders such as workers, owners, consultants and contractors towards the causes of accident. Mean and relative importance index (RII) were used to determine the rank of causes, and Statistical Package for the Social Sciences (SPSS) 23 was used to perform the data validation test. This study identifies 77 causes under 14 major groups and ranked them based on the mean and RII. The top five major groups of causes are management-, consultant-, technology-, labour- and contractor-related causes. The top five causes are unawareness of safety-related issue, lack of personal protective equipment, lack of safety eliminating/avoiding design, unfit equipment, lack of knowledge and training on equipment. This study will help the project participants and authorities to know and understand the various characteristics and linkage of causes of construction accidents to improve the construction safety management. It contributes to the body of knowledge, as it reveals for the first time the causes of acci dents in the Bangladeshi construction industry.

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Fuzzy Structural Equation Model to Assess Construction Site Safety Performance

Cited by 57 publications

References 48 publications

Key Factors Affecting Construction Safety Performance in Developing Countries: Evidence from Cambodia

Key Factors Affecting Construction Safety Performance in Developing Countries: Evidence from Cambodia

Assessing Construction Labours’ Safety Level: A Fuzzy McDm Approach

Causes of Accident at Construction Sites in Bangladesh

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