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p-Index From 2021 - 2026
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All Journal Journal of Artificial Intelligence in Architecture
Dhita Wahyu Anggraeni
Architecture, Musi Charitas Catholic University, Palembang, Indonesia
Civil Engineering, Building, Construction & Architecture Computer Science & IT

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Microclimate-Based Assessment of Outdoor Thermal Comfort in The Provincial Police Headquarters Park Using Andrew Marsh’s Sun Path Tool Karin Ginting; Dimitri Indah Puspita Sari; Dhita Wahyu Anggraeni
Journal of Artificial Intelligence in Architecture Vol. 5 No. 2 (2026): Artificial Intelligence for Architecture: From Sustainable Management to Digita
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jarina.v5i2.15101

Abstract

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.
Co-Authors Dimitri Indah Puspita Sari Karin Ginting