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IDENTIFICATION OF RISK FACTORS INVOLVED IN ROAD ACCIDENTS IN GHANA

 

Table Of Contents


<p>&nbsp;          <b>TABLE OF CONTENT</b>&nbsp;</p><p>Declaration………………………………………………………………………. ii&nbsp;</p><p>Acknowledgment ……………………………………………………………….. iii&nbsp;</p><p>Dedication……………………………………………………………………….. iv&nbsp;</p><p>Abstract……………………………………………………………………………..v&nbsp;</p><p>Table of Contents…..……………………………………………………………….vi&nbsp;</p><p>List of Tables……………………………………………………………………… ix&nbsp;</p><p>List of Figures…………………………………………………………………….. x&nbsp;</p><p>Abbreviations and Acronyms …….…………………………..…………………… xi&nbsp;</p><p>

Chapter 1

1.0 Introduction…………………………………………………………………… 1&nbsp;</p><p>1.1 Background of the study……………………………………………….. 1&nbsp;</p><p>1.2 Statement of the Problem……………………………………………….4&nbsp;</p><p>1.3 Objectives of the Study………………………………............................6&nbsp;</p><p>1.4 Significance of the study………………………………………………. 6&nbsp;</p><p>1.5 Organization of the Study……………………………........................... 7&nbsp;</p><p>

Chapter 2

: REVIEW OF LITERATURE 2.0 Introduction……………………………..……………. 8&nbsp;</p><p>2.1 Trends road safety fatalities and injuries in Ghana……………………. 8&nbsp;</p><p>2.2 Techiman in Perspective………………………………......................... 11&nbsp;</p><p>2.3 Risk factors influencing road traffic fatalities and injuries …………….12</p><p>&nbsp;2.4 Modeling of risk factors associated with traffic safety.…………...........16&nbsp;</p><p>2.5 Summary of Review of Literature…………………………………....... 23&nbsp;</p><p>

Chapter 3

: METHODOLOGY 3.0 Introduction……………………………………………….. 24&nbsp;</p><p>3.1 Descriptions of variables selected for analysis……………………….. 24&nbsp;</p><p>3.2 Logistic Regression Model……………………………………............ 25&nbsp;</p><p>&nbsp;3.3 Fitting the model……………………………………………………….27</p><p>&nbsp;3.4 Odds Ratio……….……………………….…………............................ 29&nbsp;</p><p>&nbsp;3.5 Summary of methodology……………………………………….......... 31&nbsp;</p><p>

Chapter 4

: DATA ANALYSIS AND RESULTS 4.0 Introduction………………………………... 32&nbsp;</p><p>4.1 Descriptive Statistics…………….……………………………… 33&nbsp;</p><p>&nbsp;4.1.1 Age of Drivers involved in the accidents…………………….34&nbsp;</p><p>&nbsp;4.1.2 Gender of Drivers involved in accidents…………................ 35&nbsp;</p><p>&nbsp;4.1.3 Location of accident……………..…………......................... 37&nbsp;</p><p>4.1.4 Time of accident……………..………..…….................... 38&nbsp;</p><p>&nbsp;4.1.5 Type of vehicle at fault……..……………..……………….. 40&nbsp;</p><p>4.1.5 Reason for the accident..……………...………………… 42&nbsp;</p><p>4.2 Variable selection …………………………...……………………….45&nbsp;</p><p>4.3 Logistic Regression Analysis…………...………………………….. 46&nbsp;</p><p>4.3.1 The Logit Model…………………………...………............ 46&nbsp;</p><p>&nbsp;4.4 Model Interpretation………………………………………………….. 47&nbsp;</p><p>

Chapter 5

: CONCLUSIONS AND RECOMMENDATIONS 5.0 INTRODUCTION………….. 49&nbsp;</p><p>5.1 CONCLUSION………………………………………………………….. 49&nbsp;</p><p>5.2 RECOMMENDATION…………………………………………………. 50&nbsp;</p><p>REFERENCES…………………………………………......……….................... 52&nbsp;</p><p>APPENDIX A………………….………………………….……………………… 58&nbsp;</p><p>APPENDIX B……..……………………………………….……………………... 61&nbsp;</p><p>APPENDIX C …………………………………………………………………… 72 <br></p>

Project Abstract

              ABSTRACT 

The problem of deaths and injury as a result of road accidents is now acknowledged to be a global phenomenon. As a result authorities in virtually all countries of the world are now concerned about the growth in the number of people killed and seriously injured on their roads including Ghana. The study objective was to identify the risk factors that mainly contribute to accident and their impact on road accident. This study applied logistic regression to accident-related data collected from MOTOR TRAFFIC and TRANSPORT UNIT of GHANA POLICE SERVICE, TECHIMAN DIVISIONAL COMMAND traffic records in order to examine the contributing factors to accident severity. A total of 494 accident data from 2007-2011 was used. The accident severity (dependent variable) in this study is a dichotomous variable with two categories, Fatal or Non-fatal. Among the variables obtained from police-accident reports, five independent variables namely; gender, time of accident, location of accident and reasons assigned for accident were found to be statistically significant.

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