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Development of Crash Severity Model for Predicting Risk Factors in Work Zones for Ohio.

Katta, Vanishravan
http://rave.ohiolink.edu/etdc/view?acc_num=toledo1384556981

Abstract Details

2013, Master of Science, University of Toledo, Civil Engineering.
Work zones are given priority by most government agencies nationwide because of the need for maintenance, rehabilitation, and advancement of the existing road networks. This results in large number of work zones and has had an inevitable impact on the regular traffic flows and traffic safety issues. The main objective of the study is to find the risk factors affecting crash severity (dependent variable) in work zones in the state of Ohio. Year 2010 data was collected from Ohio Department of Traffic Safety in the form of an excel spreadsheet. A total of 24 different independent variables which has 12,275 crash records were used in the development of the Crash Severity Model (CSM). The following steps were employed for the development of CSM. First, the Pearson chi-square statistics test was done to find the variables that have a significant relationship among themselves and the dependent variable. Second, the insignificant variables left from step 1 were selected which were found to have significant effect on crash severity in other studies and they were also added along with the significant variables found in step 1 for the development of the regression model. A total of 21 variables were found to have a significant relationship with the dependent variable. Three variables were selected from step 2 based on literatures. A binomial logit model was used to predict crash severity. Results of binary logistic regression showed that forty four categories of seventeen variables were found to be predictive of the fatal/injury crash severity type and also showed that the model fits to the data well with a prediction ability of 72.8 percent.
Bhuiyan Alam, Dr. (Committee Chair)
Ashok Kumar, Dr. (Committee Member)
Jiwan Gupta, Dr. (Committee Member)
123 p.
Civil Engineering
binary logistic regression, chi-square, work zones, fatal crash severity, injury crash severity, work zone safety,risk

Recommended Citations

Citations

  • Katta, V. (2013). Development of Crash Severity Model for Predicting Risk Factors in Work Zones for Ohio. [Master's thesis, University of Toledo]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1384556981

    APA Style (7th edition)

  • Katta, Vanishravan. Development of Crash Severity Model for Predicting Risk Factors in Work Zones for Ohio. 2013. University of Toledo, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=toledo1384556981.

    MLA Style (8th edition)

  • Katta, Vanishravan. "Development of Crash Severity Model for Predicting Risk Factors in Work Zones for Ohio." Master's thesis, University of Toledo, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1384556981

    Chicago Manual of Style (17th edition)

toledo1384556981
1,237
© 2013, some rights reserved.Creative Commons License Development of Crash Severity Model for Predicting Risk Factors in Work Zones for Ohio. by Vanishravan Katta is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Toledo and OhioLINK.