Patel, D A (2015) Estimating the number of fatal accidents and investigating the determinants of safety performance in indian construction. PhD thesis, Indian Institute of Technology Delhi, India.
Abstract
Construction workers and employees are extremely vulnerable to injuries and fatalities due to the hazardous conditions of their work, unsafe acts, and deficient safety management. These lead to poor safety performance. The study was conceptualized and implemented in four phases to meet the following objectives: (1) the estimation of the number of fatal accidents in the Indian construction sector; (2) the development of a model to predict the safe work behavior of employees and co-employees working in a construction project; (3) the formulation of a model to predict the safety climate of a construction project; (4) the creation of a framework to evaluate the project hazard level; and (5) the assessment of some hypotheses on determinants of safety performance and their interrelationships. The research methodology which was used included the artificial neural network (ANN), fuzzy set theory, fuzzy measure, fuzzy integral, multi attribute decision making (MADM) methods, and the structural equation modelling (SEM). An important finding of the study is that on an average, 38 fatal accidents occur daily in the Indian construction industry. Safety climate constructs including the supervisory environment, work pressure, employees’ involvement, personal appreciation of risk, supportive environment, commitment, appraisals of physical work environment, work hazard, and communication are sensitive to safe work behavior while management commitment, supervisory environment, appraisal of physical work environment and work hazard are sensitive to safety climate of the projects. The study contributes to theory and practice in the form of models and methodologies to: (1) predict the safe work behavior of employees and safety climate in construction projects; (2) to discover the outliers in projects based on the safety climate and the safe work behavior of employees working in them; and (3) to evaluate a project’s hazard level. The study lays emphasis on the systematic and functional accident data recording system at the state and national level. It also advocates the use of sensitive constructs for speedy improvement in safe work behavior and safety climate of projects. The study offers valuable resources for the improvement of safety performance.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Uncontrolled Keywords: | safety climate; construction sector; fuzzy set; construction project; artificial neural network; communication; decision making; safety; construction worker; employee; neural network; structural equation modelling |
| Index terms: | methodology, decision-making, construction project, appraisal, construction sector, safety management, safety performance, estimating, safety climate, injury, commitment, structural equation modelling, neural network, artificial neural network, work environment, research methodology, determinant, construction industry, fatalities, construction worker, fuzzy set theory, fuzzy set, estimation |
| Subjects: | decision-making and optimization, health safety and environment, production management, research methods, factor and component analysis, psychology, practitioner, statistical analysis, industry analysis, decision analysis, health conditions and diseases, occupational health and safety management, health risk and incident analysis, management, financial and cost management, artificial intelligence, modelling and simulation, research design and methodology, risk assessment |
| Topics: | Health and Safety, Project Management, Risk Management, Digital Applications, Organizational Design, Cost Management, Research Practice, Roles and Professions |
| Descriptive scope: | 4 PCTA |
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