Abstract:
This study presents a procedural modeling plugin for sustainable urban development
and planning, specifically focusing on the 3D modeling of Philippine cities.
The plugin integrates machine learning, procedural generation techniques, and interactive
3D visualization to provide urban planners with a powerful toolset for
efficient and accurate urban modeling. By incorporating a classification model for
identifying architectural styles unique to Philippine urban cities, the plugin enables
the creation of digital assets and procedural systems that capture the essence
of urban elements while allowing for flexible manipulation. Through a comprehensive
case study on Taguig City, the effectiveness of the plugin is demonstrated in
generating dynamic and realistic urban cityscapes. This study contributes to the
advancement of urban planning practices by offering innovative solutions to the
challenges faced in digital city replication, empowering urban planners to make
informed decisions and foster sustainable development in Philippine urban cities.
