Analysis Of Fatal And Nonfatal Accidents Involving Earthmoving Equipment Operators And On-Foot Workers

<p>In view of the limitations of univariate statistics for studying construction accidents, a multivariate approach was undertaken using crosstabulation analysis and logistic regression. </p> <p>Heavy construction equipment accidents related data for four type of equipment; backhoe, bulldozer, excavator and scraper were incorporated in the study using categorical variables. Degree of injury indicating the severity of accident outcome (fatal vs. nonfatal) was selected as the dependent variable, and a variety of factors potentially affecting the outcome comprised the independent variables. Cross tabulation results enabled the understanding and evaluation of associations between the research variables, while logistic regression yielded predictive models that helped describe accident severity in terms of the contributing factors. Factors increasing or decreasing the odds of accident severity (degree of injury) in the presence or absence of various factors were identified and quantified. It was concluded that multivariate analysis serves as a much more powerful tool than univariate methods in eliciting information from construction accident data. Union status of workers and the safety training they were provided according to OSHA guidelines vastly affect the degree of injury and lessen the odds of fatality.</p>

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Open Access Dissertation

Discipline thesis:degree_discipline

Civil and Environmental Engineering

Year dc:date.available

2013

Author dc:creator

• Kazan, Esref Emrah

Contributors dc:contributor

• Mumtaz A. Usmen

• Accident Analysis
• Construction Safety
• Crosstabulation
• Heavy Construction Equipment Operator
• Logistic Regression
• Predictive Model
• Civil Engineering

Repository record dc:identifier

https://digitalcommons.wayne.edu/oa_dissertations/731

OAI identifier oai:identifier

oai:digitalcommons.wayne.edu:oa_dissertations-1730