先進駕駛輔助系統（Advanced Driver Assistance Systems, ADAS）具有提升行車安全及減輕駕駛負擔之功能，惟其實際效益除取決於設備性能外，亦受駕駛員之接受度所影響。本研究以中臺灣地區市區客運駕駛員為對象，旨在瞭解其對各類ADAS之熟悉程度與使用情形，並探討影響其行為意圖之主要因素。研究架構以科技接受模型為基礎，並將社會影響、促成條件、信任及知覺風險構面納入模型，另檢驗年齡、先驗知識及駕駛經驗之干擾效果。
本研究採問卷調查法，共回收381份問卷，剔除83份無效問卷後，取得298份有效樣本，採用SPSS及AMOS，依序進行敘述性統計、信度與效度檢驗、Kruskal-Wallis檢定及結構方程模型分析，並以PROCESS Model 1進行干擾效果分析。
研究結果顯示，知覺有用性、促成條件及社會影響均具有顯著正向影響；信任亦會提升駕駛員對ADAS易用性與有用性之認知。知覺易用性雖未直接影響行為意圖，卻會透過提升知覺有用性發揮作用，顯示市區客運駕駛員是否接受ADAS，主要取決於系統能否提供實質安全效益，而非僅考量操作是否容易。知覺風險的直接影響未達顯著，但其與行為意圖之關係會因年齡及駕駛經驗而有所不同。此外，不同年齡及駕駛年資群體僅在部分ADAS功能的熟悉度上呈現差異，使用頻率則無顯著差異。
本研究建議客運業者應完善操作指引、教育訓練、設備維護及異常通報等機制；主管機關則可透過公共運輸評鑑、營運補貼、車輛檢驗與稽核，以及舉辦標竿學習等方式，促使業者強化教育訓練與設備妥善管理，以提升ADAS在市區客運場域之接受程度與安全效益。

Advanced driver assistance systems (ADAS) can improve road safety and reduce driver workload, but their effectiveness also depends on driver acceptance. This study examined urban bus drivers in central Taiwan to assess their familiarity with and use of ADAS and identify factors influencing behavioral intention. Based on the Technology Acceptance Model, the model incorporated social influence, facilitating conditions, trust, and perceived risk and tested moderation by age, prior knowledge, and driving experience.
Of 381 questionnaires, 298 were valid. SPSS and AMOS were used for descriptive statistics, reliability and validity testing, the Kruskal–Wallis test, structural equation modeling, and PROCESS Model 1.
Perceived usefulness, facilitating conditions, and social influence positively influenced behavioral intention. Trust enhanced perceived ease of use and perceived usefulness. Perceived ease of use had no direct effect on behavioral intention but contributed indirectly through perceived usefulness, indicating that drivers valued safety benefits more than ease of use alone. Perceived risk had no direct effect, but its relationship with behavioral intention varied by age and driving experience. Age and driving tenure differed only in familiarity with selected ADAS functions; usage frequency showed no differences.
Bus operators should strengthen operating guidelines, training, equipment maintenance, and fault reporting. Authorities may use public transportation evaluations, operating subsidies, vehicle inspections and audits, and benchmarking to strengthen training and equipment management and enhance ADAS acceptance and safety benefits.

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