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Development of crash severity model for predicting risk factors in work zones for Ohio


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Development of crash severity model for predicting risk factors in work zones for Ohio
Table of Contents
Abstract
Acknowledgements
Table of Contents
List of Tables
List of Figures 
List of Abbreviations
Chapter 1 Introduction
1.1 Background
1.2 Purpose and scope
1.3 Objectives
1.4 Research Question
1.5 Thesis Organization
Chapter 2 Literature Review
2.1 Introduction
2.1 Review of previous work done on crashes in work zones
Chapter 3 Table of Contents
Methodologies
3.1 Data Source
3.2 Determination of work zone risk factors that are affecting crash severity
Chapter 4 Results
4.1 Descriptive and Chi-Square Analysis
4.1.1 Month
4.1.2 Time in a day
4.1.3 Number of Units
4.1.4 Weather Conditions
4.1.5 Primary road conditions
4.1.6 Primary light conditions
4.1.7 Road Contour
4.1.8 Type of collision
4.1.9 Location of crash in work zone
4.1.10 Type of work zone
4.1.11 Workers present flag
4.1.12 Alcohol related
4.1.13 Speed related
4.1.14: Type of unit involved in crash
4.1.15: Pre-crash actions
4.1.16: Speed cohort/ Unit Speed
4.1.17: Alcohol or drug suspected
4.1.18 Crash Location
4.1.19: Person type
4.1.20: Age
4.1.21: Gender
4.1.22: Traffic Control
4.1.23: Day of the week
4.1.24: Circumstances
4.2 Binary Logistic Regression Analysis
4.2.1 Month
4.2.2 Time in a day
4.2.3 Number of units involved
4.2.4 Weather conditions
4.2.5 Primary road conditions
4.2.6 Primary light conditions
4.2.7 Road contour
4.2.8 Type of collision
4.2.9 Type of work zone
4.2.10 Worker present flag
4.2.13 Type of unit
4.2.14 Pre-crash action
4.2.14 Circumstance
4.2.15 Unit speed and speed related
4.2.16 Crash location
4.2.18 Alcohol and Alcohol/ drug suspected
4.2.19 Gender
4.2.20 Traffic control
4.2.21 Day of the week
4.2.22 Location of crash in work zone
Chapter 5 Discussion and Conclusion
References
Appendix A
Tables
Appendix B
Sample Data used for Analysis
Appendix C
ODOT Sample Accident Report
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