Investigation into the determinants of occupational safety for achieving zero accidents in multi-storey building construction projects: A Bayesian belief network approach
The Indonesian construction sector is vital for economic development but faces high accident rates because of inadequate occupational health and safety (OHS) measures. This study examines causal factors in high-rise construction accidents, focusing on human factors, organization, work environment, a...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-12-01
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| Series: | MethodsX |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S221501612500353X |
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| author | Ryan Pramanda Sri Gunani Partiwi Adithya Sudiarno Hamdani |
| author_facet | Ryan Pramanda Sri Gunani Partiwi Adithya Sudiarno Hamdani |
| author_sort | Ryan Pramanda |
| collection | DOAJ |
| description | The Indonesian construction sector is vital for economic development but faces high accident rates because of inadequate occupational health and safety (OHS) measures. This study examines causal factors in high-rise construction accidents, focusing on human factors, organization, work environment, and payment systems. A Bayesian Belief Network (BBN) was used to evaluate OHS implementation and identify key elements for achieving zero accidents. Data were collected through a structured questionnaire completed by 28 experts assessing 277 workers across 33 critical safety variable relationships. Analysis using RStudio’s bnlearn revealed that regulatory requirements strongly influence safety design, corporate culture, and OHS management, while overly complex safety designs hinder supervision and training. Findings show that workers’ physical and mental conditions are vital for zero accidents, whereas safety awareness alone is insufficient. Improved training enhances payment systems, boosting motivation and productivity. The study recommends simplifying safety design and refining OHS procedures to reduce accident risks. The main advantages of the proposed method are: • Using Bayesian Belief Network to analyse work accidents at high-rise projects. • Examined the human, organisational, work environment, and payment system aspects. • Found that simplifying safety design and improving the training are important for achieving zero accidents. |
| format | Article |
| id | doaj-art-7a80846eb01d4187b8aacea2d0a27f70 |
| institution | Kabale University |
| issn | 2215-0161 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | MethodsX |
| spelling | doaj-art-7a80846eb01d4187b8aacea2d0a27f702025-08-20T03:51:14ZengElsevierMethodsX2215-01612025-12-011510350810.1016/j.mex.2025.103508Investigation into the determinants of occupational safety for achieving zero accidents in multi-storey building construction projects: A Bayesian belief network approachRyan Pramanda0Sri Gunani Partiwi1Adithya Sudiarno2 Hamdani3Department of Industrial and System Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111 Indonesia; Department of Industrial Engineering, Universitas Samudra, Langsa 24413 IndonesiaDepartment of Industrial and System Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111 IndonesiaDepartment of Industrial and System Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111 Indonesia; Corresponding author.Department of Industrial and System Engineering, Institut Teknologi Sepuluh Nopember, Surabaya 60111 Indonesia; Department of Industrial Engineering, Universitas Samudra, Langsa 24413 IndonesiaThe Indonesian construction sector is vital for economic development but faces high accident rates because of inadequate occupational health and safety (OHS) measures. This study examines causal factors in high-rise construction accidents, focusing on human factors, organization, work environment, and payment systems. A Bayesian Belief Network (BBN) was used to evaluate OHS implementation and identify key elements for achieving zero accidents. Data were collected through a structured questionnaire completed by 28 experts assessing 277 workers across 33 critical safety variable relationships. Analysis using RStudio’s bnlearn revealed that regulatory requirements strongly influence safety design, corporate culture, and OHS management, while overly complex safety designs hinder supervision and training. Findings show that workers’ physical and mental conditions are vital for zero accidents, whereas safety awareness alone is insufficient. Improved training enhances payment systems, boosting motivation and productivity. The study recommends simplifying safety design and refining OHS procedures to reduce accident risks. The main advantages of the proposed method are: • Using Bayesian Belief Network to analyse work accidents at high-rise projects. • Examined the human, organisational, work environment, and payment system aspects. • Found that simplifying safety design and improving the training are important for achieving zero accidents.http://www.sciencedirect.com/science/article/pii/S221501612500353XWork safetyWork accidentConstruction projectBayesian belief networkZero accident |
| spellingShingle | Ryan Pramanda Sri Gunani Partiwi Adithya Sudiarno Hamdani Investigation into the determinants of occupational safety for achieving zero accidents in multi-storey building construction projects: A Bayesian belief network approach MethodsX Work safety Work accident Construction project Bayesian belief network Zero accident |
| title | Investigation into the determinants of occupational safety for achieving zero accidents in multi-storey building construction projects: A Bayesian belief network approach |
| title_full | Investigation into the determinants of occupational safety for achieving zero accidents in multi-storey building construction projects: A Bayesian belief network approach |
| title_fullStr | Investigation into the determinants of occupational safety for achieving zero accidents in multi-storey building construction projects: A Bayesian belief network approach |
| title_full_unstemmed | Investigation into the determinants of occupational safety for achieving zero accidents in multi-storey building construction projects: A Bayesian belief network approach |
| title_short | Investigation into the determinants of occupational safety for achieving zero accidents in multi-storey building construction projects: A Bayesian belief network approach |
| title_sort | investigation into the determinants of occupational safety for achieving zero accidents in multi storey building construction projects a bayesian belief network approach |
| topic | Work safety Work accident Construction project Bayesian belief network Zero accident |
| url | http://www.sciencedirect.com/science/article/pii/S221501612500353X |
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