Goh, Y M and Chua, D (2013) Neural network analysis of construction safety management systems: A case study in Singapore. Construction Management and Economics, 31(5), pp. 460-470. ISSN 1466433X
Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | accident; audit; management system; neural network; occupational safety |
| Index terms: | occupational safety, construction industry, occupational safety and health, investigation, audit, Singapore, case study, construction safety, safety performance, methodology, mitigation, strategy, neural network, accuracy, emergency preparedness, management system |
| Subjects: | occupational health and safety management, environmental health, industry analysis, research methods, safety engineering, performance measurement, management, financial risk, professional development, Geography, artificial intelligence, data collection methods |
| Topics: | Sustainability, Research Practice, Geographical Context, Information Management, Cost Management, Business Strategy, Health and Safety, Organizational Design, Quality Management, Digital Applications |
| Descriptive scope: | 5 PCTEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here