| Title |
Street-Level Land Use Mix Patterns in the Type II General Residential Zones in Seoul |
| Authors |
송영재(Song, Youngjae) ; 장민영(Jang, Minyoung) ; 강범준(Kang, Bumjoon) |
| DOI |
https://doi.org/10.5659/JAIK.2026.42.9.283 |
| Keywords |
Land use mix; Residential commercialization; Zoning system; Street; POI (Point of Interest); Point-based land use data |
| Abstract |
This study examines street-level patterns of mixed non-residential uses in Type II General Residential Zones in Seoul using POI-based
clustering and multinomial logistic regression models. Although non-residential activities are commonly found within residential areas,
area-based zoning designations remain too broad to capture the functional diversity that emerges at the street level. POI data were collected
through the KakaoMap API, and point-based land-use indicators were constructed and linked to individual street segments. Clustering analysis
was then applied to classify street-level non-residential use configurations, followed by regression analysis to identify the factors associated
with their formation. The results reveal clear functional differentiation among streets within the same residential zoning category, indicating
the coexistence of diverse spatial structures. While morphological characteristics such as street width and linearity partially explain these
patterns, non-morphological factors, including retail demand and business competition, also play important roles. The interaction between
physical and socioeconomic conditions produces complex, multi-layered spatial structures. These findings highlight the need for more flexible
and fine-grained land-use controls that can respond to the diverse street-level land-use patterns observed within residential areas. |