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系統識別號 U0002-1507201915571400
中文論文名稱 泰國交通事故的增長
英文論文名稱 Traffic Accident Growth in Thailand
校院名稱 淡江大學
系所名稱(中) 臺灣與亞太研究全英語碩士學位學程
系所名稱(英) Master's Program in Taiwan and Asia-Pacific Studies, College of International Studies (English-Taugh
學年度 107
學期 2
出版年 108
研究生中文姓名 李蓉蓉
研究生英文姓名 Keeratee Leeanant
學號 606245180
學位類別 碩士
語文別 英文
口試日期 2019-06-17
論文頁數 62頁
口試委員 指導教授-蔡青龍
委員-柯大衛
委員-戴萬平
中文關鍵字 泰國  交通事故 
英文關鍵字 traffic accident deaths  Thailand 
學科別分類
中文摘要 本研究介紹了交通事故統計圖表的結果,這些圖表在交通擁擠和死亡人數之間發生了變化,數字逐年下降。根據斯梅德定律理論,認為當車輛數量較多時,車禍的數量也會增加。然而,陸路運輸部和泰國局網站的記錄已經提供了足夠的資料來證明泰國的交通事故自2010年至2018年已發生變化。每年,車輛的數量無疑越來越高,但事實證明汽車事故已經減少,並得到泰國人的支持,以遵守交通法並了解生命的價值。 當人們了解他們的生活如何重要時,他們不會因疏忽和避免這些風險情況而傷害自己。
英文摘要 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.
論文目次 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
References 56
APPENDIX 60
APPENDIX 61
APPENDIX 62

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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