自2018年後，自駕車產業蓬勃發展，其驅動力來自多重因素的交織作用，包含科技進步、少子化、人口老化、COVID-19疫情等社會經濟因素。許多大型企業如沃爾瑪已開始應用自駕車於物流，以提升效率並降低人力成本。消費者對於自駕車的需求也日益增加，價格、科技成熟度及安全性是影響消費者購買決策的三大關鍵因素。許多公司積極參與自駕車開發，例如微軟與Cruise合作，亞馬遜應用於物流等，各國政府也積極制定相關法規，規範自駕車的發展與應用。然而，台灣市場上的自駕車數量相對較少，本研究旨在了解各國自駕車發展現況及影響我國消費者購買行為的因素，並為自駕車產業經銷商提供建議。
本研究採用多種研究方法，以全面探討自駕車議題：(1) 文獻分析法、(2) 個案分析法、(3) SWOT分析法及五力分析、(4) 問卷調查法等方式，研究結果將為政府制定自駕車相關政策、車廠研發自駕車產品以及相關產業發展提供參考依據。本研究期許能為台灣汽車產業的發展提供寶貴的建議，並促進其在全球市場的競爭力。

Since 2018,the self-driving car industry has experienced rapid growth, driven by a confluence of factors including technological advancements, declining birth rates, an aging population, and the COVID-19 pandemic, eta. Major corporations like Walmart have begun utilizing self-driving vehicles in logistics to enhance efficiency and reduce labor costs. Consumer requirement for self-driving cars is also increasing. Price, technological maturity, and safety are three key factors influencing consumer purchase decisions. Many companies are actively involved in self-driving car development, such as Microsoft’s collaboration with Cruise and Amazon’s application in logistics. Governments worldwide are also actively developing regulations to govern the development and application of self-driving cars. However, the number of self-driving cars in the Taiwanese market remains relatively low. This research aims to understand the current state of self-driving car development globally and the factors influencing consumer purchasing behavior in Taiwan, providing recommendations for self-driving car industry dealers.
  This research employs multiple research methods for a comprehensive exploration of the self-driving car issue: (1) literature analysis, (2) case study analysis, (3) SWOT and Five Forces Analysis, and (4) questionnaire surveys. The research findings will provide a reference for government policymaking on self-driving cars, vehicle manufacturers developing self-driving car products, and the development of related industries. This research hopes to provide valuable suggestions for the development of Taiwan’s automotive industry and enhance its global competitiveness.

Content
Content   I
Table of content   III
Figure of content   V
1 Introduction   1
1.1 Research Background and Motivation   1
1.2 Research Objective   3
1.3 Research Process   4
2 Literature Review   7
2.1 Terminology Definitions   7
2.2 Development of the Automotive Industry and the Impact of Autonomous Vehicles   14
2.3 Consumer Purchasing Behavior Toward Automobiles   39
2.4 Dealership Models in the Automotive Industry    41
3 Research Methodology    43
3.1 Literature Review   43
3.2 Case Analysis Method   43
3.3 SWOT and Five Forces Analysis   44
3.4 Questionnaire Survey   44
4 Research Results   45
4.1 Policies, Regulations, and Technological Development of Autonomous Vehicles in the United States   45
4.2 Policies, Regulations, and Technological Development of Autonomous Vehicles in the China   52
4.3 Policies, Regulations, and Technological Development of Autonomous Vehicles in Japan   58
4.4 Policies, Regulations, and Technological Development of Autonomous Vehicles in Europe   63
4.5 The Development of Self-driving Vehicles in Taiwan   70
4.6 Consumers' Perceptions of Self-Driving Cars in Taiwan   85
4.7 Environmental Implications of Self-driving Vehicle Development   130
5 Conclusion and Recommendations   138
5.1 Research Conclusions   138
5.2 Research Recommendations   144
5.3 Research Limitations   148
References   151
 
Table of Content
Table 2-1  Classification of Autonomous Driving Levels   9
Table 2-2  Definition of Dealer   12
Table 2-3  Development of the Automotive Industry   15
Table 2-4  Important Milestones in the Development of Autonomous Vehicles   21
Table 2-5  Market Revenue by Autonomous Driving Level (2018–2022)   29
Table 2-6  Sales Volume by Autonomous Driving Level (2018–2022)   30
Table 2-7  Level 1 Autonomous Vehicle Market Revenue by Region (2018–2022)    30
Table 2-8  Level 2 Autonomous Vehicle Market Revenue by Region (2018–2022)    31
Table 2-9  Level 3 Autonomous Vehicle Market Revenue by Region (2018–2022)    32
Table 2-10  Level 4 Autonomous Vehicle Market Revenue by Region (2018–2022)    32
Table 2-11  Level 5 Autonomous Vehicle Market Revenue by Region (2018–2022)    33
Table 2-12.  Market Revenue by Country (2018–2022)   34
Table 2-13  Environmental Benefits and Impacts of Autonomous Vehicles   36
Table 4-1  Evolution and Content of U.S. Automated Driving System Safety Guidelines   47
Table 4-2  Policies and Key Content of the Autonomous Driving Automobile Industry   53
Table 4-3  Autonomous Vehicle Policies and Highlights   60
Table 4-4  Autonomous Vehicle Policies and Highlights   65
Table 4-5  Taiwan Self-driving Vehicle Policy   73
Table 4-6..Taiwan’s Autonomous Vehicle Industry – Five Forces Analysis   81
Table 4-7 Classification of Questionnaire Questions   87
Table 4-8  Purchase Intention Survey Detailed Table   90
Table 4-9  Breakdown of Purchase Time Adjustment   95
Table 4-10  Breakdown of Major Factors Affecting Purchase   98
Table 4-11  Self-Driving Vehicle Advantages and Disadvantages Breakdown   102
Table 4-12  Impact of Self-driving Vehicles on Taiwan's Society   105
Table 4-13  Breakdown of Government's Proposals for Self-driving Car Development   108
Table 4-14  Breakdown of Concerns about Self-driving Vehicles   117
Table 4-15  Functions Consumers Think Self-driving Cars Should Have 113
Table 4-16  Breakdown of Challenges and Opportunities for the Popularization of Self-Driving Cars According to Consumers  122
Table 4-17  Breakdown of Consumer Proposals   124

 
Figure of Content
Figure 1-1 Research Process   6
Figure 4-1  Investment Distribution of Self-driving Vehicles by Sectors   77
Figure 4-2  Purchase Time Survey Pie Chart   94
Figure 4-3  Statistical Pie Chart of Major Factors Affecting Purchase   98
Figure 4-4  Purchase of Self-Driving Vehicles Receivable Price Statistics Pie Chart   114
Figure 4-5  Pie Chart of Consumers' Expected Time of Self-driving Car Popularization   120

I. Thesis
1.	Chen, Shiqi, 2019, The key factors of consumers' purchase of vehicles equipped with advanced driver assistance systems, M.S. thesis, Department of Business Administration, Chung Yuan Christian University.
2.	Chiu, Chien-Hung, 2019, Exploring the development strategy of Taiwan's unmanned vehicle industry by SWOT and DANP method, PhD thesis, Department of Information Management, National Central University.
3.	Hector Tibo, 2020, A three-stage DEA performance analysis method for the global automobile manufacturing industry, Ph.D. dissertation, National Kaohsiung University of Science and Technology, Department of Industrial Engineering and Management.
4.	Ji-Hao Chen, 2022, Economic, Energy, and Environmental Impacts of Electric Vehicle Development in Taiwan, M.S. thesis, Graduate Institute of Resource Engineering, National Cheng Kung University.
5.	Lin, Meng-Xuan, 2005, The influence of gender differences and life style on the consumption behavior of online game users, Master's thesis, Graduate Institute of Advertising, National Chengchi University.
6.	Shen, Mengdie, 2022, Performance Analysis of New Energy Vehicle Industry in Mainland China: A Two-Stage DEA Model, M.S. thesis, Department of Business Administration, National Taipei University of Technology.
7.	Shih, T. C., 2015, Analyzing the impact and response of the car network from the perspective of car dealers, Master's thesis, Master of Business Administration, Master of International Finance Group, College of Business, National Chengchi University.
8.	Tsai, Chia-Chin, 2021, Environmental Sustainability Benefits of Innovative Transportation Services: The Case of Self-Driving Buses, M.S. thesis, Department of Transportation Management, National Cheng Kung University, Taiwan.
9.	Wang, Hao-Yu, 2019, When the Driver Disappears: International Development Trends and Consumer Purchasing Willingness of Self-Driving Vehicles, Master's Thesis, Department of International Trade, Chinese Culture University, China.
10.	Wu, Ming-Hsiu, 2021, How to Construct a Good Dealer Management System, DMS) for Automobile Dealerships: The Case of Company M, M.S. thesis, School of Management, National Taipei University of Technology, Information and Financial Management.
11.	Yeh, M.J., 2020, Using the TOE framework to explore the development trend of self-driving cars and electric vehicles in the automotive industry, M.S. thesis, Graduate Institute of Business Administration, National Chengchi University.
12.	Yinxuan, 2019, Purchase decision analysis of self-driving cars, National Kaohsiung University of Science and Technology, M.S. thesis, Department of Industrial Engineering and Management, National Kaohsiung University of Technology.

 
II. Journals
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28.	Zhang Su Shi, 2020, China Automatic Driving Industry Development Report, pp.305-317
 
Ⅲ.Books
1.	Department of Industrial Technology, Ministry of Economic Affairs, 2017, White Paper on Industrial Technology, published by Taiwan Institute of Economic Research
2.	Mario Herger, 2020, Translated by Li Fangling, 2021, The last driver's license holder has already been born, p. 156
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