台灣歷年前十大行人交通事故件數均發生於號誌化路口，表示即使在路口設置號誌，對於行人路口穿越之安全議題仍然有改善空間。本研究針對號誌路口行人在不同路口情境下的步行樣態穿越模式，根據行人的動態決策過程，對其進行深入探討及分析。
本研究對於所收集之台南市六處號誌化路口的行人觀察紀錄採用潛在類別模式（LCM）與多項羅吉特模式進行數據建模，將行人分為三大潛在分群：轉角停等空間有障礙物群、行人路段步行空間與轉角停等空間充分連接群和機車待轉區與行穿線距離過短群。目的是辨識影響行人步行樣態的關鍵因素，建立步行樣態預測模型。研究過程包括實地觀察、資料收集、模型估計及分群與彈性分析，以揭示不同人口特徵行人群體在各種交通環境下的行為異質性，並針對模型中不同分群之估計結果深入分析以提出改善建議。
研究確認路口幾何設計、行穿線設施、光線條件及交通量等環境因素顯著影響行人步行樣態。合理的行穿線設置能有效降低偏離行穿線的可能性。行人專用號誌和停等空間的設置也能顯著改善行人步行樣態，提高交通安全性。研究進一步揭示，學生和兒童群體在遵守交通規範方面相對較弱，易受環境變化影響；而成年人在高壓情境下能更有效地做出安全決策，但仍可能因時間壓力而出現偏離行為。同時手機使用也會影響行人步行樣態，造成不同程度偏離行為。
基於這些發現，研究提出了一系列針對性的交通管理建議，包括優化路口設計及設施、行穿線相關距離設置規劃和動態交通管理等，旨在提升行人安全性和道路通行效率。本研究的結果為未來城市交通規劃提供了實證支持，並有助於制定更加精細化的交通安全措施。

Despite installing traffic signals, the top ten pedestrian accidents annually occur at signalized intersections in Taiwan, emphasizing the need for improved safety interventions. This study investigates pedestrian crossing patterns at six signalized intersections in Tainan City, using Latent Class Models (LCM) and Multinomial Logit Models to analyze dynamic decision-making processes and behavioral heterogeneity. Pedestrians are categorized into three latent groups: intersections with obstructed corner waiting areas, fully connected pedestrian spaces and waiting areas, and inadequate spacing between motorcycle zones and crosswalk.
Key findings confirm that intersection geometry, crosswalk design, lighting conditions, and traffic volume significantly influence pedestrian walking patterns. Proper crosswalk alignment reduces deviations, while pedestrian-specific signals and adequately designed waiting areas improve crossing patterns and safety. Students and children show lower compliance with traffic rules and are more susceptible to environmental changes. In contrast, adults make safer decisions under pressure but may still deviate due to time constraints. Mobile phone use further increases the likelihood of deviation, highlighting the role of distraction in pedestrian behavior.
The study proposes targeted traffic management measures to address these challenges, including optimizing intersection geometry, enhancing crosswalk visibility, strategically planning crosswalk placement, and adopting adaptive traffic signal systems. These interventions aim to improve pedestrian safety and overall road efficiency. The research provides empirical evidence for urban traffic planning and supports the development of precise and practical safety policies tailored to diverse pedestrian needs and behaviors.

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