Patel, D A and Jha, K N (2015) Neural network model for the prediction of safe work behavior in construction projects. Journal of Construction Engineering and Management, 141(1): 04014066, ISSN 0733-9364
Abstract
A model has been developed employing an artificial neural network (ANN) to predict the safe work behavior of employees using 10 safety climate constructs determined through literature review. The model utilizes safety climate constructs (determinants) as inputs and safe work behavior as an output. Two hundred twenty-two responses from several construction projects across India were collected through a questionnaire survey. A three-layer feed-forward back-propagation neural network (10-11-1) was appropriate in building this model which has been trained, validated, and tested with sufficient data sets. The model predicts the safe work behavior of employees reasonably well. In addition, a sensitivity analysis was carried out to study the impact of each construct on the safe work behavior of employees. As a result, safety climate constructs like supervisory environment, work pressure, employees' involvement, personal appreciation of risk, and supportive environment were significantly associated with the safe work behavior of employees. This model has great potential in aiding contractors and clients in promoting safe work behavior and the efficient management of the safety of employees in construction projects.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | behavior; labor and personnel issues; neural network; prediction; safety climate |
| Index terms: | personnel, safety climate, sensitivity analysis, neural network, literature review, survey, artificial neural network, construction project, questionnaire, propagation, determinant, India |
| Subjects: | modelling and simulation, data analysis and analytics, artificial intelligence, risk assessment, data collection methods, engineering process, environmental hazards, management, health safety and environment, Geography, production management |
| Topics: | Risk Management, Sustainability, Health and Safety, Research Practice, Geographical Context, Project Management, Engineering Principles, Digital Applications, Human Resources |
| Descriptive scope: | 4 PCEA |
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