2025
Cooling Cities, Warming Communities: Quantifying Climate Resilience in Urban Parks Through Anthropomorphic Mapping and Place Attachment
Investigates climate resilience in urban green spaces by integrating anthropomorphic mapping, place attachment analysis, and street-view imagery to understand the relationship between human perception and adaptive urban landscape design.
Cooling Cities, Warming Communities: Quantifying Climate Resilience in Urban Parks Through Anthropomorphic Mapping and Place Attachment
Investigates climate resilience in urban green spaces by integrating anthropomorphic mapping, place attachment analysis, and street-view imagery to understand the relationship between human perception and adaptive urban landscape design.
Project page
Prompting Sustainability: A Comparative Analysis of How Generative AI Interprets and Visualizes Urban 'Sustainable' Streetscapes
Examines how generative AI models interpret and visualize sustainable urban streetscapes through prompt-based analysis, evaluating how AI-generated imagery reflects principles of sustainable urban design and planning.
Prompting Sustainability: A Comparative Analysis of How Generative AI Interprets and Visualizes Urban 'Sustainable' Streetscapes
Examines how generative AI models interpret and visualize sustainable urban streetscapes through prompt-based analysis, evaluating how AI-generated imagery reflects principles of sustainable urban design and planning.
Project page2024
Spatial Modeling of Visual Element Proportion Diversity in Urban Spaces Based on Street-view and Spatial Indicators
Analyzed the spatial diversity of urban visual elements using street-view imagery, computer vision, and GIS-based spatial indicators to quantify greenness, openness, and enclosure, providing insights for walkability, visual comfort, and climate-responsive urban planning.
Spatial Modeling of Visual Element Proportion Diversity in Urban Spaces Based on Street-view and Spatial Indicators
Analyzed the spatial diversity of urban visual elements using street-view imagery, computer vision, and GIS-based spatial indicators to quantify greenness, openness, and enclosure, providing insights for walkability, visual comfort, and climate-responsive urban planning.
Paper2023
The Impedance of East Jakarta Road Network to Estimate Fire Station Service Areas
Developed a GIS-based network analysis model to evaluate road network impedance and estimate fire station service coverage for improving urban emergency response planning.
The Impedance of East Jakarta Road Network to Estimate Fire Station Service Areas
Developed a GIS-based network analysis model to evaluate road network impedance and estimate fire station service coverage for improving urban emergency response planning.
Paper