Neural network analysis of construction safety management systems: a case study in Singapore
A neural network analysis was conducted on a quantitative occupational safety and health management system (OSHMS) audit with accident data obtained from the Singapore construction industry. The analysis is meant to investigate, through a case study, how neural network methodology can be used to und...
| Main Authors: | , |
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| Format: | Journal Article |
| Published: |
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/26762 |
| _version_ | 1848752078516649984 |
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| author | Goh, Yang Miang Chua, D. |
| author_facet | Goh, Yang Miang Chua, D. |
| author_sort | Goh, Yang Miang |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | A neural network analysis was conducted on a quantitative occupational safety and health management system (OSHMS) audit with accident data obtained from the Singapore construction industry. The analysis is meant to investigate, through a case study, how neural network methodology can be used to understand the relationship between OSHMS elements and safety performance, and identify the critical OSHMS elements that have significant influence on the occurrence and severity of accidents in Singapore. Based on the analysis, the model may be used to predict the severity of accidents with adequate accuracy. More importantly, it was identified that the three most significant OSHMS elements in the case study are: incident investigation and analysis, emergency preparedness, and group meetings. The findings imply that learning from incidents, having well-prepared consequence mitigation strategies and open communication can reduce the severity and likelihood of accidents on construction worksites in Singapore. It was also demonstrated that a neural network approach is feasible for analysing empirical OSHMS data to derive meaningful insights on how to improve safety performance. © 2013 Copyright Taylor and Francis Group, LLC. |
| first_indexed | 2025-11-14T08:02:54Z |
| format | Journal Article |
| id | curtin-20.500.11937-26762 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:02:54Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-267622017-09-13T15:28:02Z Neural network analysis of construction safety management systems: a case study in Singapore Goh, Yang Miang Chua, D. A neural network analysis was conducted on a quantitative occupational safety and health management system (OSHMS) audit with accident data obtained from the Singapore construction industry. The analysis is meant to investigate, through a case study, how neural network methodology can be used to understand the relationship between OSHMS elements and safety performance, and identify the critical OSHMS elements that have significant influence on the occurrence and severity of accidents in Singapore. Based on the analysis, the model may be used to predict the severity of accidents with adequate accuracy. More importantly, it was identified that the three most significant OSHMS elements in the case study are: incident investigation and analysis, emergency preparedness, and group meetings. The findings imply that learning from incidents, having well-prepared consequence mitigation strategies and open communication can reduce the severity and likelihood of accidents on construction worksites in Singapore. It was also demonstrated that a neural network approach is feasible for analysing empirical OSHMS data to derive meaningful insights on how to improve safety performance. © 2013 Copyright Taylor and Francis Group, LLC. 2013 Journal Article http://hdl.handle.net/20.500.11937/26762 10.1080/01446193.2013.797095 restricted |
| spellingShingle | Goh, Yang Miang Chua, D. Neural network analysis of construction safety management systems: a case study in Singapore |
| title | Neural network analysis of construction safety management systems: a case study in Singapore |
| title_full | Neural network analysis of construction safety management systems: a case study in Singapore |
| title_fullStr | Neural network analysis of construction safety management systems: a case study in Singapore |
| title_full_unstemmed | Neural network analysis of construction safety management systems: a case study in Singapore |
| title_short | Neural network analysis of construction safety management systems: a case study in Singapore |
| title_sort | neural network analysis of construction safety management systems: a case study in singapore |
| url | http://hdl.handle.net/20.500.11937/26762 |