IDENTIFICATION OF RISK FACTORS INVOLVED IN ROAD ACCIDENTS IN GHANA
Table Of Contents
- <p> <b>TABLE OF CONTENT</b> </p><p>Declaration………………………………………………………………………. ii </p><p>Acknowledgment ……………………………………………………………….. iii </p><p>Dedication……………………………………………………………………….. iv </p><p>Abstract……………………………………………………………………………..v </p><p>Table of Contents…..……………………………………………………………….vi </p><p>List of Tables……………………………………………………………………… ix </p><p>List of Figures…………………………………………………………………….. x </p><p>Abbreviations and Acronyms …….…………………………..…………………… xi </p><p>
Chapter ONE
INTRODUCTION
- 1.0Introduction…………………………………………………………………… 1 </p><p>
- 1.1Background of the study……………………………………………….. 1 </p><p>
- 1.2Statement of the Problem……………………………………………….4 </p><p>
- 1.3Objectives of the Study………………………………............................6 </p><p>
- 1.4Significance of the study………………………………………………. 6 </p><p>
- 1.5Organization of the Study……………………………........................... 7 </p><p>
Chapter TWO
LITERATURE REVIEW
- REVIEW OF LITERATURE
- 2.0Introduction……………………………..……………. 8 </p><p>
- 2.1Trends road safety fatalities and injuries in Ghana……………………. 8 </p><p>
- 2.2Techiman in Perspective………………………………......................... 11 </p><p>
- 2.3Risk factors influencing road traffic fatalities and injuries …………….12</p><p>
- 2.4Modeling of risk factors associated with traffic safety.…………...........16 </p><p>
- 2.5Summary of Review of Literature…………………………………....... 23 </p><p>
Chapter THREE
RESEARCH METHODOLOGY
- 3.0Introduction……………………………………………….. 24 </p><p>
- 3.1Descriptions of variables selected for analysis……………………….. 24 </p><p>
- 3.2Logistic Regression Model……………………………………............ 25 </p><p>
- 3.3Fitting the model……………………………………………………….27</p><p>
- 3.4Odds Ratio……….……………………….…………............................ 29 </p><p>
- 3.5Summary of methodology……………………………………….......... 31 </p><p>
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- AND RESULTS
- 4.0Introduction………………………………... 32 </p><p>
- 4.1Descriptive Statistics…………….……………………………… 33 </p><p> 4.
- 1.1Age of Drivers involved in the accidents…………………….34 </p><p> 4.
- 1.2Gender of Drivers involved in accidents…………................ 35 </p><p> 4.
- 1.3Location of accident……………..…………......................... 37 </p><p>4.
- 1.4Time of accident……………..………..…….................... 38 </p><p> 4.
- 1.5Type of vehicle at fault……..……………..……………….. 40 </p><p>4.
- 1.5Reason for the accident..……………...………………… 42 </p><p>
- 4.2Variable selection …………………………...……………………….45 </p><p>
- 4.3Logistic Regression Analysis…………...………………………….. 46 </p><p>4.
- 3.1The Logit Model…………………………...………............ 46 </p><p>
- 4.4Model Interpretation………………………………………………….. 47 </p><p>
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- S AND RECOMMENDATIONS
- 5.0INTRODUCTION………….. 49 </p><p>
- 5.1CONCLUSION………………………………………………………….. 49 </p><p>
- 5.2RECOMMENDATION…………………………………………………. 50 </p><p>REFERENCES…………………………………………......……….................... 52 </p><p>APPENDIX A………………….………………………….……………………… 58 </p><p>APPENDIX B……..……………………………………….……………………... 61 </p><p>APPENDIX C …………………………………………………………………… 72 <br></p>
Project Abstract
<p> <b> ABSTRACT </b></p><p>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. <br></p>
Project Overview