城市活力是衡量都市空間品質的重要指標，代表促進地區社會經濟活動與人類互動的能力，源自人類活動與都市空間的交互作用。活力不僅體現於經濟層面，更反映了都市的生活品質與獨特性，成為現行代表都市競爭力和宜居性的重要關鍵。隨著大數據及其技術方法的成熟，得以突破過往研究以單一視角探討城市活力的限制，以不同資料類型探究多維度面向及空間感知層面探討城市活力。
本研究目的為探討城市活力時空樣態特性與其影響因子，選定台南府城歷史街區為實證範圍，整合Google Maps POI資料、街景影像與空間圖資不同資料類型。研究設計與操作上，利用集群分析、核密度估計與主成分分析以描述時間樣態變化與空間分布特性，並運用SegNet模型掌握使用者對於街景之視覺感知，最後以迴歸分析綜合探索影響城市活力的重要環境影響因素。
研究結果顯示，台南府城歷史街區的城市活力具有明顯的時間與空間差異，活力熱區會隨平假日與日夜時段而變化，平日的活動範圍整體上相較於假日更為廣泛，且主要集中於白天時段，日間與夜間的活動區域亦呈現空間重組與位移的特徵。在視覺感知方面，透過語意分割技術量化街景影像中四個主要的視覺元素，進一步反映人本視角下，街道景觀視覺感受之空間分布。迴歸分析結果顯示出視覺感知的重要性，道路視率在平假日皆對城市活力呈現顯著負向影響，而建築視率則呈現顯著正向影響，顯示街道立面的視覺呈現，可能是影響都市活動的重要條件。建議未來可進一步探討府城歷史街區中道路結構、建築量體等空間特徵對城市活力的影響。
總結以上，本研究整合POI資料與街景影像進行城市活力分析，驗證了此方法應用於結構複雜的歷史街區之可行性，展現於空間使用密度、功能組合與視覺感知等面向上。未來可依據不同的規劃議題與資料可操作性，彈性選擇合適的大數據來源，作為都市規劃分析之輔助工具。

Urban vitality is a key indicator of spatial quality, reflecting the ability of urban spaces to foster socioeconomic activities and human interaction. This study examines the spatiotemporal patterns of urban vitality and its influencing factors in the historical districts of Tainan. Multiple data sources were integrated, including Google Maps POI data, street view imagery, and spatial datasets.
Methodologically, cluster analysis, kernel density estimation, and principal component analysis were applied to describe temporal variations and spatial distributions. A SegNet model was employed to quantify visual perception from street view imagery, and regression analysis was conducted to identify the environmental determinants of vitality.
The results reveal significant spatiotemporal heterogeneity. Vitality hotspots shift between weekdays and holidays, as well as between daytime and nighttime, with weekday activities covering a broader spatial range. Regression analysis further shows that road view rates exert a significant negative effect, while building view rates have a significant positive effect on vitality, suggesting that street façade visibility may both constrain and attract urban activities.
This study demonstrates the feasibility of integrating POI data and street view imagery to analyze vitality in complex historical districts. The findings highlight the potential of emerging data sources to capture spatial usage, functional mix, and perceptual dimensions, offering valuable insights for urban planning and design.

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