Causes of fatal construction accidents in Malaysia

Hamid, Abdul; Azmi, Marwan Hadri; Aminudin, Eeydzah; Jaya, Ramadhansyah Putra; Zakaria, Rozana; Zawawi, Abdullah; Yahya, Khairulzan; Haron, Zaiton; Yunus, Riduan; Saar, Candace

doi:10.1088/1755-1315/220/1/012044

Cited by 44 publications

(40 citation statements)

References 9 publications

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“…Even though the order of criticality levels of top-ranked safety risk identified in the study are slightly different from the observations mentioned in previous studies (which is due to consideration of a higher number of risk parameters), the overall picture is to a large extent the same. For instance, Hamid et al [ 14 ] opined that fall from height, electrocution, and struck by falling objects are the main culprit of fatal-related injuries on Malaysian construction sites. Similarly, the perilousness of being trapped by the machineries was emphasized by Chong and Low [ 2 ].…”

Section: Resultsmentioning

confidence: 99%

“…Though the construction industry has recently evolved, thanks to the use of modern technology and equipment, yet the rate of accidents on construction sites has not noticeably decreased [ 13 ]. Hamid et al [ 14 ] asserted that there was 125% increase of fatal injuries on construction sites in Malaysia from 2009 to 2015. Similarly, according to Muhamad Zaini et al [ 13 ], fatalities on construction sites experienced an approximately 30% rise over a four-year period, starting from the year 2015.…”

Section: Introductionmentioning

confidence: 99%

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Developing an Ensemble Predictive Safety Risk Assessment Model: Case of Malaysian Construction Projects

Sadeghi

Mohandes

Hosseini

et al. 2020

IJERPH

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Occupational Health and Safety (OHS)-related injuries are vexing problems for construction projects in developing countries, mostly due to poor managerial-, governmental-, and technical safety-related issues. Though some studies have been conducted on OHS-associated issues in developing countries, research on this topic remains scarce. A review of the literature shows that presenting a predictive assessment framework through machine learning techniques can add much to the field. As for Malaysia, despite the ongoing growth of the construction sector, there has not been any study focused on OHS assessment of workers involved in construction activities. To fill these gaps, an Ensemble Predictive Safety Risk Assessment Model (EPSRAM) is developed in this paper as an effective tool to assess the OHS risks related to workers on construction sites. The developed EPSRAM is based on the integration of neural networks with fuzzy inference systems. To show the effectiveness of the EPSRAM developed, it is applied to several Malaysian construction case projects. This paper contributes to the field in several ways, through: (1) identifying major potential safety risks, (2) determining crucial factors that affect the safety assessment for construction workers, (3) predicting the magnitude of identified safety risks accurately, and (4) predicting the evaluation strategies applicable to the identified risks. It is demonstrated how EPSRAM can provide safety professionals and inspectors concerned with well-being of workers with valuable information, leading to improving the working environment of construction crew members.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Developing an Ensemble Predictive Safety Risk Assessment Model: Case of Malaysian Construction Projects

Sadeghi

Mohandes

Hosseini

et al. 2020

IJERPH

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“…According to the study conducted by A. R. A. Hamid et al, (2019a), the main cause of fatal accidents construction industry mainly due to unsafe method, unique nature of industry, job site condition, human element, unsafe equipment and environmental factors.…”

Section: Construction Site Fatalitiesmentioning

confidence: 99%

The Causes of Malaysian Construction Fatalities

Halim¹,

Jaafar²,

Kamaruddin³

et al. 2020

J. Sustain. Sci. Manage.

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The Malaysian construction industry continues to enhance the country's economy by displaying voluminous growth. Due to the unique nature of the process involved, this industry is being considered the most hazardous sector in terms of occupational safety and health (OSH). The statistics of fatal accidents recorded by Department of Safety and Health Malaysia (DOSH) presented that Malaysian construction industry has the highest number of fatalities within this period of study, making it the most critical sector that requires efficient OSH management in order to reduce a significant number of fatalities in construction sites. The main objective of this study is to identify the causes of fatalities in the Malaysian construction industry by analysing 145 fatalities investigated by DOSH during a period of five years (2013 to 2018) by applying the framework for causes of occupational accidents and illnesses. Johor has the highest occurrence of fatalities with 45 cases. These 145 cases were descriptively analysed. Falling from height (43%) recorded the highest number of accident cases and followed with struck-by (34%) as among the six listed categories in this study. The main accidents causes were discovered to be the management element (58 cases) followed by worksite element (57 cases) and human element (30 cases).

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“…Among the causes of work accidents in the transport sector are: short sleep intervals (less than 4 h of sleep in an analyzed period) and causes dependent on equipment and infrastructure [ 8 , 21 , 22 ]. Non-fatal accidents have been intensifying in recent days [ 23 , 24 ].…”

Section: Introductionmentioning

confidence: 99%

The Causes of Occupational Accidents and Injuries in Romanian Firms: An Application of the Johansen Cointegration and Granger Causality Test

Ivaşcu

Sarfraz

Mohsin

et al. 2021

IJERPH

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Organizational risks are present in any activity, so it is important to manage them properly. The jobs are dynamic and involve a series of processes and activities. The entire human resource is exposed to several risks. If these risks are approached correctly, the organizational capacity to achieve its objectives and vision will increase considerably. This paper aims to investigate the relationships between work accidents (fatal and non-fatal) and the causes that contribute to their occurrence (causes dependent on the executor, causes dependent on the means of production, workload-dependent causes, and work-dependent causes—the work environment). The augmented Dickey–Fuller (ADF) test is employed to check the data stationarity series, while the Johansen test determines the cointegration relation of variables. The data have been collected from Romanian organizations. The vector error correction model (VECM) and Granger causality test are applied for speed of adjustment, nature, and direction of variables’ relationship. This research demonstrated that both data series are free from the unit-root problem at first difference. The lag length criterions select the third lag for model fitness, and Johansen cointegration declares that variables are cointegrated for the long term. The vector error correction model shows the speed of adjustment from the short to the long run is 83.35% and 42.60% for work and fatal accidents. The study results show that fatal accidents have a series relationship with selected cases for the short run and have a long-run relationship with the means of production. Fatal accidents are directly related to means of production. Fatal accidents are not designed by executors, workload-dependent causes, or work environments in the short run. Fatal accidents are directly related to the means of production and sudden incidents happening in the long run. Fatal accidents are considered by executors, workload-dependent causes, or work environments in the short run. In the long run, fatal accidents are directly related to the means of production and sudden incidents happening.

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Causes of fatal construction accidents in Malaysia

Cited by 44 publications

References 9 publications

Developing an Ensemble Predictive Safety Risk Assessment Model: Case of Malaysian Construction Projects

Developing an Ensemble Predictive Safety Risk Assessment Model: Case of Malaysian Construction Projects

The Causes of Malaysian Construction Fatalities

The Causes of Occupational Accidents and Injuries in Romanian Firms: An Application of the Johansen Cointegration and Granger Causality Test

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