近年全球物流業普遍面臨駕駛人力短缺、勞動力高齡化與營運成本上升等問題，長工時、不穩定作息及物流需求波動，使傳統人力駕駛模式逐漸難以支應高科技供應鏈對準時交付、貨況穩定與運能彈性之要求。隨著人工智慧、車聯網與自動駕駛技術逐步成熟，自駕物流車被視為緩解物流缺工、提升調度彈性及推動智慧物流轉型之潛在方案。然而，我國自駕物流目前多仍處於測試或示範階段，尚未形成成熟之商業化營運模式，尤其針對科學園區高科技產品運輸情境，仍缺乏系統性之導入評估架構。
　　本研究以科學園區高科技產品導入自駕車運輸為研究主題，探討自駕物流導入時所需考量之技術、營運、制度與風險治理條件。研究方法採文獻分析法、深度專家訪談法與層級分析法（Analytic Hierarchy Process, AHP）進行。首先，透過文獻回顧整理國內外自駕物流應用案例、使用者接受度及自駕車導入挑戰；其次，邀請具備自駕車實驗經驗與高科技物流實務背景之專家進行訪談，萃取自駕物流導入之關鍵議題；最後，建構包含「營運服務與經濟效益」、「技術成熟與基礎設施」、「法規制度與政策支持」及「風險管理與社會信任」四大構面與十四項評估準則之AHP架構，並邀請十二位產、官、學專家進行問卷調查與權重分析。
　　研究結果顯示，在四大構面中，「技術成熟與基礎設施」為權重最高之構面，顯示技術安全與基礎設施完備性是科學園區自駕物流落地之核心前提。在十四項評估準則中，「混合車流感知與避障能力」位居第一，其次為「取得成本與營業費用」及「責任歸屬與保險理賠機制」，顯示自駕物流若要由示範測試走向實際營運，除須具備安全行駛能力外，亦須兼顧成本效益、制度明確性與風險可控性。
　　整體而言，科學園區高科技產品運輸具有高價值、高風險、高準時性與高資安要求等特性，因此自駕物流導入並非單一技術問題，而是同時涉及營運效益、技術成熟、法規制度與風險治理之系統性決策。本研究成果可作為我國科學園區推動自駕物流示範應用、政策規劃及高科技供應鏈智慧轉型之決策參考，亦可作為後續推廣至其他高規格物流場域之基礎。

The logistics industry faces driver shortages, workforce aging, rising costs, and demand for punctual transportation. AI, V2X communication, and autonomous driving position autonomous logistics vehicles as a solution for easing labor shortages and advancing smart logistics. However, Taiwan's autonomous logistics remains mainly at the testing stage, lacking a systematic framework for high-tech transportation in science parks.
This study examines autonomous vehicle transportation for high-tech products in science parks. Literature analysis, expert interviews, and the Analytic Hierarchy Process (AHP) developed a framework of four criteria and fourteen alternatives: operational services and economic benefits, technological maturity and infrastructure, legal systems and policy support, and risk management and social trust. Twelve experts from industry, government, and academia completed the questionnaire.
Results show technological maturity and infrastructure is the most important dimension. Among the alternatives, mixed-traffic perception and obstacle avoidance ranked first, followed by acquisition and operating costs, and liability and insurance mechanisms. These findings indicate autonomous logistics requires safe operation, cost feasibility, institutional clarity, and risk control. Overall, adoption in science parks is a systematic decision-making issue involving technology, operations, law, and risk.

工商時報. (2025). 史上頭一遭 ！台積電全球市占衝破7成 輾壓亞軍三星7.3％. 工商時報. Retrieved 2025年9月26日 from https://www.ctee.com.tw/news/20250902700062-439901
交通部公路局. (2026). 交通部公路局統計查詢網. https://stat.thb.gov.tw/hb01/webMain.aspx?sys=100&funid=21100
交通部統計處. (2025). 113年運輸及倉儲業之生產與受雇員工概況.
李承儒. (2021, Nov 15, 2021). 經濟部推動臺灣首創自駕物流試行啟動，物流自駕車將進行運送試驗！. CARTURE 車勢文化. https://www.carture.com.tw/opinion/article/17242-經濟部推動臺灣首創自駕物流試行啟動，物流自駕車將進行運送試驗！
李則霖, & 盧玟翰. (2022). 自駕物流車於市區運行的挑戰 [The Challenge of Self-Driving Logistics Vehicle Operated in Downtown]. 機械工業雜誌(469), 28-44.
科技創新時代. (2025). 智慧移動朝向低碳化、電動化、智慧化、無人化發展. 科技創新時代. Retrieved 0523 from https://technovationtimes.com.tw/工研院「眺望2026產業發展趨勢研討會」智慧移動載/
國家科學及技術委員會. (2026). 國家科學及技術委員會統計資料庫：C-4 產業營業額統計表. https://wsts.nstc.gov.tw/stsweb/sciencepark/ScienceParkReport.aspx?language=C&quyid=tqindustry04
國家發展委員會. (2024). 中華民國人口推估（2024年至2070年）. Retrieved May. 10, 2025 from https://www.ndc.gov.tw/nc_27_38548
陳念舜. (2025). 眺望2026智慧移動載具產業 串起無人機與自駕車非紅供應鏈. CTIMES. Retrieved 0523 from https://www.ctimes.com.tw/DispNews/tw/自駕車/工研院/2511111857HY.shtml
陳怡如. (2024). 車輛產業加速朝智慧化、自駕化奔馳. 工業技術與資訊月刊, 391.
陳斌勇, 張聰海, 杜宗翰, & 陳素珍. (2022). 自駕技術應用於物流運輸－以全臺第一部自駕物流車上路為例 [The Application of Autonomous Driving Technology to Logistics Transportation: Example of the First Self-driving Logistics Vehicle on Road in Taiwan]. 機械工業雜誌(469), 102-110.
黃昱凱, 馮正民, & 涂詠然. (2020). 影響自駕車選擇行為因素之初探 [Explore of Research on Factors Effects of Self-driving Choice Behavior]. 運輸學刊, 32(3), 229-267. https://doi.org/10.6383/JCIT.202009_32(3).0001
豊田通商株式會社. (2025, October 21, 2025). レベル4自動運転トラックの社会実装に向けた実証開始～新東名高速道路でテーマ3事業最終年度の総合走行実証を実施～. 豊田通商株式會社. https://www.toyota-tsusho.com/press/detail/251021_006707.html
臺南市政府. (2025). 變更臺南科學園區特定區主要計畫（科學園區部分）（第四次通盤檢討）書. (府都綜字第1140106177A號公告). 臺南市: 臺南市政府
鄧振源. (2005). 計畫評估: 方法與應用. 國立臺灣海洋大學運籌規劃與管理研究中心出版.
Abu Bakar, A. I., Abas, M. A., Muhamad Said, M. F., & Tengku Azhar, T. A. (2022). Synthesis of Autonomous Vehicle Guideline for Public Road-Testing Sustainability. Sustainability, 14(3), 1456.
Ali, H., Zheng, J., Alrashidi, R. S., Alfawzan, M. S., Ullah, I., & Jamal, A. (2025). Simulating the Adoption of Autonomous Vehicles in CPEC Logistics and Transportation: A Case Study of a Scenario Approach. IEEE access, 13, 131177-131196. https://doi.org/10.1109/ACCESS.2025.3590148
Ba, Z., Zhao, Z., & Zhang, B. (2025). Liability for Autonomous Vehicle Torts: Who Should Be Held Responsible? World Electric Vehicle Journal, 16(12), 665.
Bai, Z., Wu, G., Qi, X., Liu, Y., Oguchi, K., & Barth, M. J. (2022). Infrastructure-based object detection and tracking for cooperative driving automation: A survey. 2022 IEEE Intelligent Vehicles Symposium (IV).
Baumeister, R., & Leary, M. (1997). Writing Narrative Literature Reviews. Review of General Psychology, 1, 311-320. https://doi.org/10.1037//1089-2680.1.3.311
Brunda, C., & Aithal, P. (2025). Strategic Analysis of Walmart Inc. Innovation, Ethical Challenges, and the Future of AI-Driven Services. Poornaprajna International Journal of Management, Education & Social Science (PIJMESS), 2(2), 74-108.
Cai, L., Yuen, K. F., & Wang, X. (2023). Explore public acceptance of autonomous buses: An integrated model of UTAUT, TTF and trust. Travel Behaviour and Society, 31, 120-130.
Charmaz, K. (2006). Constructing grounded theory: A practical guide through qualitative analysis. Sage.
Cheng, E. W., & Li, H. (2001). Analytic hierarchy process: an approach to determine measures for business performance. Measuring Business Excellence, 5(3), 30-37.
Cheng, E. W., & Li, H. (2002). Construction partnering process and associated critical success factors: quantitative investigation. Journal of Management in Engineering, 18(4), 194-202.
Chng, S., Kong, P., Lim, P. Y., Cornet, H., & Cheah, L. (2021). Engaging citizens in driverless mobility: Insights from a global dialogue for research, design and policy. Transportation Research Interdisciplinary Perspectives, 11, 100443.
Clements, L. M., & Kockelman, K. M. (2017). Economic Effects of Automated Vehicles. Transportation Research Record, 2606(1), 106-114.
Corbin, J. M., & Strauss, A. (1990). Grounded theory research: Procedures, canons, and evaluative criteria. Qualitative Sociology, 13(1), 3-21.
Dalkey, N., & Helmer, O. (1963). An experimental application of the Delphi method to the use of experts. Management Science, 9(3), 458-467.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.
Deloitte. (2025). 2025 global semiconductor industry outlook. Retrieved Oct. 01, 2025 from https://www.deloitte.com/us/en/insights/industry/technology/technology-media-telecom-outlooks/semiconductor-industry-outlook.html
El-Rewini, Z., Sadatsharan, K., Selvaraj, D. F., Plathottam, S. J., & Ranganathan, P. (2020). Cybersecurity challenges in vehicular communications. Vehicular Communications, 23, 100214.
Ellram, L. M. (1995). Total cost of ownership: an analysis approach for purchasing. International Journal of Physical Distribution & Logistics Management, 25(8), 4-23.
Engesser, V., Rombaut, E., Vanhaverbeke, L., & Lebeau, P. (2023). Autonomous Delivery Solutions for Last-Mile Logistics Operations: A Literature Review and Research Agenda. Sustainability, 15(3).
Escherle, S., Darlagiannis, E., & Sprung, A. (2024). Automated Trucks' Impact on Pavement Fatigue Damage. Applied Sciences.
Fagnant, D. J., & Kockelman, K. (2015). Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations. Transportation Research Part A: Policy and Practice, 77, 167-181.
Ferrari, R. (2015). Writing narrative style literature reviews. Medical Writing, 24, 230-235.
Gatik. (2021, November 23). Gatik and Walmart Achieve Fully Driverless Deliveries in a Worldwide First. Retrieved 2025/12/06 from https://gatik.ai/news/press-releases/gatik-and-walmart-achieve-fully-driverless-deliveries-in-a-first-for-autonomous-trucking-industry-worldwide/
Ge, J., & Zhou, C. (2025). Enabling or disrupting? Government subsidy for autonomous vehicles on the ride-hailing platform. International Journal of General Systems, 1-24.
Hofmann, E., & Rüsch, M. (2017). Industry 4.0 and the current status as well as future prospects on logistics. Computers in Industry, 89, 23-34.
Hsu, C.-C., & Sandford, B. A. (2007). The Delphi technique: making sense of consensus. Practical Assessment, Research, and Evaluation, 12(1).
Hwang, C.-L., & Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications (Vol. 186). Springer-Verlag.
Ibiyemi, M. O., & Olutimehin, D. O. (2024). Revolutionizing logistics: The impact of autonomous vehicles on supply chain efficiency. International Journal of Scientific Research Updates, 8(1), 009-026. https://doi.org/10.53430/ijsru.2024.8.1.0042
Interviewing Experts. (2009). Palgrave Macmillan.
IRU. (2024). Global Truck Driver Shortage Report 2024. Retrieved May. 12, 2025 from https://www.iru.org/intelligence/road-transport-intelligence/global-truck-driver-shortage-report-2024
IRU. (2025). Widening age chasm compounds truck driver shortage crisis: new IRU report. International Road Transport Union. Retrieved May. 12, 2025 from https://www.iru.org/news-resources/newsroom/widening-age-chasm-compounds-truck-driver-shortage-crisis-new-iru-report
Kalra, N., & Paddock, S. M. (2016). Driving to Safety: How Many Miles of Driving Would It Take to Demonstrate Autonomous Vehicle Reliability? In Driving to Safety (pp. 1-16). RAND Corporation.
Kapser, S., & Abdelrahman, M. (2020). Acceptance of autonomous delivery vehicles for last-mile delivery in Germany – Extending UTAUT2 with risk perceptions. Transportation Research Part C: Emerging Technologies, 111, 210-225.
Kaur, K., & Rampersad, G. (2018). Trust in driverless cars: Investigating key factors influencing the adoption of driverless cars. Journal of Engineering and Technology Management, 48, 87-96.
Krippendorff, K. (2018). Content analysis: An introduction to its methodology. Sage Publications.
Lai, Y.-J., Liu, T.-Y., & Hwang, C.-L. (1994). Topsis for MODM. European Journal of Operational Research, 76(3), 486-500.
Lin, X., Lee, C.-Y., & Fan, C. K. (2025). Exploring the Impacts of Autonomous Vehicles on the Insurance Industry and Strategies for Adaptation. World Electric Vehicle Journal, 16(3), 119.
Litman, T. (2020). Autonomous vehicle implementation predictions: Implications for transport planning. https://www.vtpi.org/avip.pdf
Liu, Z., Tang, H., Amini, A., Yang, X., Mao, H., Rus, D., & Han, S. (2022). Bevfusion: Multi-task multi-sensor fusion with unified bird's-eye view representation. arXiv preprint arXiv:2205.13542.
Lohaus, L., Woide, M., Damm, N., Demiral, Z., Friedrich, H., Petáková, A., & Walker, F. (2024). Automated or human: Which driver wins the race for the passengers' trust? Examining passenger trust in human-driven and automated vehicles following a dangerous situation. Computers in Human Behavior, 161, 108387.
LOTUS Containers. (2023). Autonomous Vehicles in Logistics: Shaping the Future of Transportation. Retrieved April 6 from https://www.lotus-containers.com/en/autonomous-vehicles-in-logistics/
Marsja, E., Thellman, S., & Anund, A. (2025). Trust in automated shuttle buses predicts intention to use and behavioral expectations. Transportation Research Interdisciplinary Perspectives, 33, 101601.
Martínez-Díaz, M., & Soriguera, F. (2018). Autonomous vehicles: theoretical and practical challenges. Transportation Research Procedia, 33, 275-282.
Meuser, M., & Nagel, U. (2009). The expert interview and changes in knowledge production. In A. Bogner, B. Littig, & W. Menz (Eds.), Interviewing Experts (pp. 17-42). Palgrave Macmillan.
Mo, C., Chen, F., & Wang, Z. (2024). A Study on Consumers' Willingness to Purchase Autonomous Vehicles from a Multi-Party Interaction Perspective: A Tripartite Evolutionary Game Model Involving the Government, Automobile Manufacturers, and Consumers. World Electric Vehicle Journal, 15(11), 498.
Mondy, C., Enz, M., & Rust, D. (2025). An empirical analysis of factors affecting the commercial adoption of autonomous trucks. Transportation Research Interdisciplinary Perspectives, 29, 101327.
Parasuraman, A. (2000). Technology Readiness Index (Tri): A Multiple-Item Scale to Measure Readiness to Embrace New Technologies. Journal of Service Research, 2(4), 307-320.
Patton, M. Q. (2014). Qualitative research & evaluation methods: Integrating theory and practice. Sage Publications.
Riedmaier, S., Ponn, T., Ludwig, D., Schick, B., & Diermeyer, F. (2020). Survey on Scenario-Based Safety Assessment of Automated Vehicles. IEEE access, 8, 87456-87477.
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2014). Diffusion of innovations. In An integrated approach to communication theory and research (pp. 432-448). Routledge.
Saaty, T. L. (1980). The analytic hierarchy process, New York: Mcgrew hill. Pittsburgh: RWS Publications, 9, 19-22.
Saaty, T. L. (1994). Highlights and critical points in the theory and application of the analytic hierarchy process. European Journal of Operational Research, 74(3), 426-447.
Saaty, T. L. (1996). Decision making with dependence and feedback: The analytic network process (Vol. 4922). RWS Publications Pittsburgh.
Saaty, T. L. (2004). Fundamentals of the analytic network process—Dependence and feedback in decision-making with a single network. Journal of Systems Science and Systems Engineering, 13(2), 129-157.
Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83-98.
Sadaf, M., Iqbal, Z., Javed, A. R., Saba, I., Krichen, M., Majeed, S., & Raza, A. (2023). Connected and Automated Vehicles: Infrastructure, Applications, Security, Critical Challenges, and Future Aspects. Technologies (Basel), 11(5), 117.
Shladover, S. E. (2018). Connected and automated vehicle systems: Introduction and overview. Journal of Intelligent Transportation Systems, 22(3), 190-200.
Sivaraman, A. (2026, January 27). Gatik Becomes First U.S. Company to Operate Fully Driverless Trucks at Scale for Commercial Deliveries. Business Wire.
Tak, S., Kim, S., Yu, H., & Lee, D. (2022). Analysis of Relationship between Road Geometry and Automated Driving Safety for Automated Vehicle-Based Mobility Service. Sustainability, 14(4).
UN. (2024). World Population Prospects 2024. United Nations. Retrieved May. 13, 2025 from https://www.un.org/development/desa/pd/content/world-population-prospects-2024-summary-results-0
Wadud, Z. (2017). Fully automated vehicles: A cost of ownership analysis to inform early adoption. Transportation Research Part A: Policy and Practice, 101, 163-176.
Yurtsever, E., Lambert, J., Carballo, A., & Takeda, K. (2020). A Survey of Autonomous Driving: Common Practices and Emerging Technologies. IEEE access, 8, 58443-58469.
Zhang, T. (2020). Toward Automated Vehicle Teleoperation: Vision, Opportunities, and Challenges. IEEE Internet of Things Journal, 7(12), 11347-11354.