This study investigates spatial stratification and socio-spatial inequalities in Seoul and Busan, South Korea. Using a data-based social stratification approach and a dissimilarity-based clustering algorithm (K-means++), the study analyzes regional clustering and disparities to visually identify spatial forms of social inequality. The results reveal socioeconomic structures and inequalities between regions, providing insights for policy implications.
Publisher
Humanities & Social Sciences Communications
Published On
Jan 19, 2022
Authors
Seungwoo Han
Tags
spatial stratification
socio-spatial inequalities
Seoul
Busan
socioeconomic disparities
policy implications
clustering algorithm
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