共享單車系統（BSS）對於促進永續的都市微型運輸至關重要。然而，車輛或樁位短缺可能會阻礙使用者的使用意願。本研究調查影響台北市站點式共享單車系統（SBSS）使用者行為和心理因素，尤其針對捷運站轉乘接駁的第一/最後一哩路。通過採用以使用者為中心的研究視角，本研究不僅分析使用者在獲得預測資訊後的租借和歸還行為，還綜合考慮建成環境變數、實際使用數據，以及通過陳述偏好方法收集的問卷數據。
本研究採用多項羅吉特（MNL）模型和整合選擇與潛在變數（ICLV）模型，分析影響使用者行為的因素，包括可觀察的外部因素和無法直接測量的潛在心理因素。研究結果發現，可觀察因素和潛在心理因素都顯著影響使用者的選擇。值得注意的是，研究揭示第一/最後一哩路之間呈現非對稱行為，說明制定客製化策略的必要性。ICLV分析顯示，可用性不確定性及潛在心理因素，對不同使用者群體和通勤行為的影響各不相同。因此，研究建議SBSS運營商優先提供預測資訊以減少不確定性，並且考量不同的建成環境因素，從而更有效地滿足使用者需求。將這些分析及見解整合至BSS的設計和系統改善過程，運營商和政策制定者將能提高系統可靠度和使用者滿意度，最終建立更有效和永續的BSS，以補充公共交通並滿足用戶需求。

Bike-sharing systems (BSS) are vital for fostering sustainable urban micro-mobility. However, real-time bike or dock shortages can deter user engagement. This study investigates user behavior and psychological factors influencing decisions within Taipei City's station-based bike-sharing system (SBSS), particularly concerning first/last-mile connections to the MRT. By adopting a user-centric perspective, the research analyzes rental and return behaviors in response to predictive information, integrating built environment variables with real-time data and stated preference methods to generate predictive insights.
Employing multinomial logit (MNL) and integrated choice and latent variable (ICLV) models, the study provides a nuanced understanding of SBSS user experiences and decision-making processes. Findings indicate that both observable factors and latent psychological influences significantly affect user choices. Notably, the study uncovers asymmetric behaviors between first and last-mile journeys, underscoring the necessity for tailored strategies. ICLV analysis reveals that uncertainties regarding availability and psychological factors impact various user groups and commuting behaviors differently. Consequently, the study recommends that SBSS operators prioritize predictive information to alleviate uncertainty, thereby addressing user needs more effectively. By integrating these insights into BSS design and optimization, operators and policymakers can enhance system reliability and user satisfaction, ultimately creating more effective and sustainable BSS that complement public transit and fulfill user requirements.

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