隨著都市擴張、高密度開發等快速發展，臺灣所面臨之都市熱島效應問題日益嚴峻，都市內氣溫逐漸上升。因此，如何藉由事前模擬更精確地分析都市環境與微氣候之間的關聯，進而提出具操作性的都市規劃改善策略，已成為提升都市永續性的課題之一。然而，傳統二維規劃模式難以全面掌握都市型態與微氣候互動關係，而既有三維都市微氣候模擬研究亦多倚賴研究者主觀設定，缺乏系統化與可重複驗證之流程，使得模擬結果在客觀性與實務應用性方面存有侷限。
因此，本研究旨在探討都市微氣候模擬在都市規劃領域中的創新應用，以程序化三維都市模型結合統計抽樣技術，將生成之情境以都市相關法規限制作為篩選模擬情境指標，建構出一套「系統化情境生成機制」，從而提高模擬情境的客觀性、可行性與合理性，並能評估對都市微氣候之影響。本研究選定桃園市中壢運動公園園區整體開發地區作為研究範圍，利用CityEngine的電腦生成建築語法（CGA），結合拉丁超立方體抽樣（LHS）方法系統化地生成多樣化情境，並透過都市計畫法規篩選式機制，篩選出具合理、操作性的未來發展情境。隨後使用ENVI-met都市微氣候模型進行模擬，以探討不同都市型態情境在氣溫、相對濕度與風速等參數呈現上的差異，並藉此探討都市型態與都市微氣候之關聯性。
研究結果顯示，相較於以往研究仰賴單一參數調整或主觀經驗設定，透過程序建模與LHS抽樣方式所生成之三維都市模型，能夠有效降低情境設定的主觀性，提高都市規劃在模擬的客觀性與合理性。研究發現，都市參數在形塑都市空間型態過程中亦扮演重要角色，進而間接影響了都市微氣候與都市型態。而模擬與量化分析顯示雖然都市型態與都市微氣候間具關聯性，然兩者之間存有非線性與動態交互作用，統計模型與單一指標難以全面解釋，仍須回歸模擬以詮釋局部空間內之都市微氣候差異。
本研究透過提出「系統化情境架構–法規篩選–都市微氣候模擬評估」的整合性流程，不僅為情境模擬建構了一個整合性的都市規劃與微氣候評估架構，亦提供了一套客觀且具操作性的模型生成方式。而CGA語法亦可套用於不同地區進行視覺化模擬，有效協助都市規劃者在實務操作中提前預測、評估各項都市規劃方案之微氣候效應，為未來都市微氣候研究與實務應用奠定基礎。

The urban heat island (UHI) phenomenon has intensified in Taiwan, especially in densely urbanized areas, posing significant sustainability and resilience challenges. This study introduces a systematic approach using three-dimensional procedural modeling and statistical sampling techniques (Latin Hypercube Sampling, LHS) to objectively generate and assess diverse urban development scenarios. By utilizing CityEngine and ENVI-met simulations, the study evaluates the impact of various urban forms on microclimate conditions such as temperature, humidity, and wind speed. Results indicate the proposed methodology reduces subjective biases and enhances the objectivity and practical applicability of urban microclimate simulations, providing an integrated evaluative framework for future urban planning.

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