<![CDATA[Urban parks play an important role in enhancing environmental quality and supporting public activities. Yet, studies integrating field-based microclimate measurements with solar path simulation to evaluate outdoor thermal comfort in tropical urban parks remain limited. This study analyses the microclimatic characteristics of Polda Park and their implications for outdoor thermal comfort. The novelty of this study lies in integrating field-based measurements with Andrew Marsh’s Sun Path Tool to assess solar exposure and shading patterns for climate-responsive landscape design. Andrew Marsh’s Sun Path Tool was selected to simulate solar paths and shading patterns for climate-responsive landscape assessment. A descriptive quantitative approach was employed using field measurements of air temperature and relative humidity across three observation zones: the jogging track, retention pond, and playground. Outdoor thermal comfort was evaluated using the Temperature Humidity Index (THI), while the Sun Path Tool was used to simulate solar exposure and shading patterns. The results showed that most areas were classified as partially uncomfortable during the morning and afternoon (THI = 25.5-28.9), whereas all observation zones were uncomfortable at midday (THI =29.00-30.3) due to intense solar radiation and limited shading. The integration of field measurements with solar path simulation provides a reliable basis for climate-responsive landscape design. It supports evidence-based planning to improve outdoor thermal comfort in tropical urban parks. The proposed approach demonstrates how computational environmental simulation can support data-informed landscape decision-making within the context of Artificial Intelligence in Architecture.]]>
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