International Journal of Sustainable Building Technology and Urban Development ISSN:2093-761X(Print) 2093-7628(Online)

The objective of the research is to develop a classification framework for urban areas using morphological characteristics that are associated with walking. The methodology employed involves utilizing fuzzy clustering analysis to discern five distinct urban classifications: densely populated regions consisting of both single and multi-family dwellings with high permeability, large-scale apartment complexes situated within superblocks exhibiting elevated OSR indices, mixed-use apartment zones, densely populated areas characterized by an organic urban structure, and hybrid zones. The study employs Seoul's neighborhood districts (dong) as the analytical framework and evaluates the impact of morphological characteristics and built environment elements on pedestrian activity. The results indicate that neighborhoods with high population density, consisting of both single and multi-family residences, characterized by a grid-like street pattern and good permeability, exhibit increased levels of pedestrian activity. A study employing robust regression revealed that urban planning is strongly influenced by factors such as population density, mixed land use, proximity to commercial amenities, and covered area ratio. The study highlights the need of incorporating factors outside land use, such as density and mixed-use development, when designing urban landscapes that prioritize pedestrians.