||Traffic Accident Growth in Thailand
||Master's Program in Taiwan and Asia-Pacific Studies, College of International Studies (English-Taugh
traffic accident deaths
||This study presents the results of traffic accident statistic charts that had been changed between the congestion and the number of deaths, from the high number sloped down. With the theory of Smeed’s law, believes that when number of vehicles are high, then number of car accidents will get higher as well. However, the record from the Department of Land transport and Thai Bureau website have given enough information to prove that Thailand’s traffic accident has been changed since 2010 to 2018. In each year, number of vehicles are getting higher no doubt, but it turned out that car accidents have been reduced and been supportive from Thai people to follow the traffic law and know the value of life. When people understand how their lives important, they will not harm themselves by being careless and avoiding those risk situations.
||Table of Contents
Chapter 1 Introduction v
1.1 Background 3
1.2 Research Topic and Goals 3
1.3 Research Motivation 5
1.4 Framework 5
1.5 Research Methodology 5
1.6 Research Limitation 6
1.7 Expected Results 6
Chapter 2 Literature Review 8
2.1 Introduction 8
2.2 The Literature on Measurement and Related Issues 8
2.3 The Literature on Types of Traffic Risks and Government Policies in Thailand 11
2.4 The Literature on Economic Costs of Road Accidents in Thailand 14
Chapter 3 Road Accident Policy and Accident Losses 19
3.1 Accident Policy 19
3.2 Causes of Car Accidents 21
3.2.1) Speeding 23
3.2.2) Drunk Driving 25
3.2.3) Wearing Seat Belts 27
3.2.4) Use cellphone while driving 28
3.2.5) Inconvenient Vehicle 29
Chapter 4 Time Series Properties and Other Characteristics of the Data 31
4.1 The Role of Statistics in Social Analysis 31
4.2 Overall Deaths Per Capita (DPC) for Thailand during 1993-2017 32
4.3 Motorcycle Accidents per 10,000 Motorcycles 34
4.4 Car Accidents per 10,000 Autos 37
4.5 Small Truck Accidents per 10,000 Small Trucks 41
4.6 A Summing up of the ANOVA Analyses 45
4.7 Smeed's Law and Thailand 47
Chapter 5 Conclusion 53
List of Tables
Table 2.1: Summary of Important Research 17
Table 3.1: Highway Budget 20
Table 3.2 Economic Loss from Road Accidents 21
Table4.1: Motorcycle accident per 10,000 of total motorcycles 34
Table 4.2: ANOVA Results, Test of Equality of Three Means, Levels of Accidents per 10,000 motorcycles 2004 - 2016 36
Table 4.3: ANOVA Results, Test of Equality of Three Means, Growth in Motorcycle accidents per 10,000 motorcycles 2005 - 2016 37
Table 4.4 : Car Accidents per 10,000 Autos 2004-2016 37
Table 4.5:Correlations for Growth in Accidents, Cars per 10,000 Autos 2004 - 2016 39
Table 4.6: ANOVA Results,Test of Equality Three Means,Growth in Car Accidents per 10,000 Autos 2005-2016 40
Table 4.7: Small Truck Accidents per 10,000 Small Trucks 2004-2016 42
Table 4.8: ANOVA Results, Test of Equality of Three Means, Small Truck Accidents per 10,000 Small Trucks 2004 - 2017 43
Table 4.9 : ANOVA Results,Test of Equality Three Means Growth in Small Truck Accidents per 10,000 Small Trucks 2005-2016 44
Table 4.10, Correlations for Growth in Accidents for, Small Trucks per 10,000 Small Trucks during 2005 - 2016 44
Table 4.11, Summary of ANOVA Results, Ratio Accidents per 10,000 and Growth of Ratio, by Transportation Mode, Period, and Grouping 46
Table 4.12, Thai Data Relevant to Smeed's Law 49
Table 4.13, Selected Smeed Law Data for Thailand 51
List of Figures
Figure 4.1: Per Capita Deaths in Thailand Time series Forecasts from 2017 to 2030 33
Figure 4.2 Road Deaths per Capita vs. Registered Vehicles per Capita 50
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