Masters Theses

Paul Robin

Keywords and Phrases

Data analysis; Multinomial regression

Abstract

"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.

Advisor(s)

Smith, Brian Keith

Committee Member(s)

Long, Suzanna, 1961-
Qin, Ruwen

Department(s)

Engineering Management and Systems Engineering

Degree Name

M.S. in Engineering Management

Sponsor(s)

Missouri. Department of Transportation

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2014

Pagination

vii, 34 pages

Note about bibliography

Includes bibliographical references (pages 31-33).

Geographic Coverage

Missouri

Rights

© 2014 Paul Robin, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Subject Headings

Regression analysis -- Simulation methodsRoad work zones -- Missouri -- Safety measuresTraffic accidents -- Missouri

Thesis Number

T 10595

Electronic OCLC #

902736487

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Thesis Location

 
COinS