臺灣博碩士論文加值系統

本論文利用機器學習和大數據分析研究了 2009 年至 2023 年泰國的車輛登記。透過分析泰國車輛登記資料庫中的車輛登記、人口統計和經濟指標 (GDP)，該研究揭示了主要趨勢和相關性。它採用了市場份額分析、空間分析和 2024 年至 2026 年汽車登記預測數據等技術。市場份額分析顯示，豐田、本田和五十鈴佔據主導地位，小型企業和新進業者也呈現出多元化趨勢，尤其是在電動車領域。城市化和經濟活動推動曼谷和其他中心的車輛密度更高。值得注意的是，以比亞迪和特斯拉為首的電動車註冊量正在成長，顯示人們正在轉向永續交通。這些見解為政策制定者、城市規劃者和汽車產業提供了寶貴的啟示，凸顯了進行策略調整以支持永續成長和滿足不斷變化的消費者需求的必要性。本論文加深了對影響泰國汽車市場的因素的理解，為未來交通規劃和政策的研究和決策提供資訊。

This thesis examines vehicle registrations in Thailand from 2009 to 2023 using machine learning and big data analytics. By analyzing vehicle registrations, demographic statistics, and economic indicators (GDP) from the Thailand Vehicle Registration Database, the study reveals key trends and correlations. It employs techniques such as market share analysis, spatial analysis, and forecast data on car registration from 2024 to 2026. The findings indicate a positive relationship between car registrations, population growth, and GDP per capita, while inflation's impact is inconclusive. Market share analysis shows Toyota, Honda, and Isuzu's dominance, with emerging diversity from smaller and new entrants, particularly in electric vehicles. Urbanization and economic activity drive higher vehicle densities in Bangkok and other hubs. Notably, electric vehicle registrations, led by BYD and Tesla, are growing, indicating a shift toward sustainable transport. These insights offer valuable implications for policymakers, urban planners, and the automotive industry, highlighting the need for strategic adaptations to support sustainable growth and meet evolving consumer demands. This thesis enhances understanding of the factors shaping Thailand's automotive market, informing future research and decision-making in transportation planning and policy.

English Abstract............................................................i
Chinese Abstract..........................................................ii
Acknowledgements.......................................................iii
Table of Contents...........................................................iv
List of Tables.................................................................vi
List of Figures...............................................................vii
Chapter 1 Introduction...................................................1
1.1 Research Background and Significance..............2
1.2 Objectives of the Study......................................2
1.3 Scope of Work...................................................3
1.4 Questions of the Study........................................4
Chapter 2 Literature Review.........................................6
2.1 Methodologies in Vehicle Registration Analysis....6
2.2 Key Trends and Gaps in the Literature.................6
2.3 Definition of New Vehicle Registration in Thailand...7
2.4 Overview of Thai Population and Economy..........7
2.5 Overview of Car Accident Cases..........................9
2.6 Overview of Machine Learning and Data Analysis....9
2.7 Related Research..............................................11
Chapter 3 Methodology..................................................15
3.1 Dataset Description............................................15
3.2 Tools and Software............................................29
3.3 Methodological Approach for Case Studies..........29
Chapter 4 Result...........................................................34
4.1 Multiple Regression Analysis of Car Registrations in Thailand....35
4.2 Analysis of Market Share Distribution of Automotive Brands in Thailand from 2009 to 2023.....42
4.3 Top 10 Provinces with Most Car Registrations (2009-2023)....48
4.4 Top 5 Popular Vehicle Brands in Thailand...............53
4.5 Growth of the Electric Vehicle Market Within 5 Years (2019-2023)....59
4.6 Car Ownership Per Household in Each Province.....72
4.7 Statistical Analysis of Vehicle Registrations and Accident Causes in Key Provinces of Thailand (2019-2023)....79
Chapter 5 Conclusions..................................................96
5.1 Multiple Regression Analysis of Car Registrations in Thailand....96
5.2 Market Share Distribution of Automotive Brands in Thailand (2009-2023)....98
5.3 Top 10 Provinces with Most Car Registrations......100
5.4 Top 5 Popular Vehicle Brands in Thailand (2019-2023).....102
5.5 Growth of the Electric Vehicle Market (2019-2023)....102
5.6 Car Ownership Per Household in Each Province.....106
5.7 Statistical Analysis of Vehicle Registrations and Accident Causes in Key Provinces of Thailand (2019-2023)....108
5.8 Forecasting Car Registrations in Thailand Using LSTM Neural Networks....110
5.9 Comprehensive Insights and Future Recommendations....117
5.10 Research Limitations.........................................119
5.11 Future Research Directions.................................120
References.................................................................121
Extended Abstract.....................................................123

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Thai Population.
National Statistical Office of Thailand. (2022). Thailand's Population Data. Retrieved from http://www.nso.go.th
United Nations Department of Economic and Social Affairs. (2021). World Population Prospects. Retrieved from https://population.un.org/wpp/
World Bank. (2022). Thailand's Demographic Data. Retrieved from https://data.worldbank.org/country/thailand

Car Accident Cases.
Department of Land Transport Thailand. (2022). Annual Road Safety Report. Retrieved from http://www.dlt.go.th
Thai Traffic Police Division. (2021). Traffic Accident Statistics. Retrieved from http://www.trafficpolice.go.th
World Health Organization. (2020). Global Status Report on Road Safety. Retrieved from https://www.who.int/violence_injury_prevention/road_safety_status/2020

Thailand's Economy: Focus on GDP per Capita GDP Growth Percentage and Inflation
Bank of Thailand. (2022). Economic and Financial Statistics. Retrieved from https://www.bot.or.th/English/Statistics/Pages/default.aspx
International Monetary Fund. (2022). World Economic Outlook Database. Retrieved from https://www.imf.org/en/Publications/WEO/weo-database/2022
World Bank. (2022). Thailand Economic Monitor. Retrieved from https://www.worldbank.org/en/country/thailand/publication/thailand-economic-monitor

Cars Registration Thailand.
Department of Land Transport Thailand. (2023). Data on the number of cars registered for the first time by brand classified by province. Retrieved from http://www.dlt.go.th