Keywords and Phrases
Data analysis; Multinomial regression
"This study focuses on the use of statistical data analysis procedures in identifying factors which affect the severity of crashes in work zones. Work zones are unsafe for the traffic passing through as well as the workers. Multinomial Logistic Regression has been used to analyse Missouri work zone crash data to identify significant factors which affect the severity of crashes. This particular type of regression analysis was used due to the mixed nature of data. Multinomial regression was used to compare crashes with severity Property Damage Only against crashes with Minor Injuries and Disabling Injuries/ Fatal. The factors considered were two-vehicle analysis, weather conditions, road conditions, light conditions, road profile, road alignment, traffic conditions, accident type and vision obscurity. The analysis show different factors having a statistically significant impact on the severity of crashes"--Abstract, page iii.
Smith, Brian Keith
Long, Suzanna, 1961-
Engineering Management and Systems Engineering
M.S. in Engineering Management
Missouri. Department of Transportation
Missouri University of Science and Technology
vii, 34 pages
© 2014 Paul Robin, All rights reserved.
Thesis - Open Access
Regression analysis -- Simulation methods
Road work zones -- Missouri -- Safety measures
Traffic accidents -- Missouri
Electronic OCLC #
Robin, Paul, "Use on multinomial logistic regression in work zone crash analysis for Missouri work zones" (2014). Masters Theses. 7341.