공간분석을 통한 젠트리피케이션 모니터링시스템 연구 - 시공간빅데이터를 활용하여 -

초록

Urban regeneration projects often cause various socioeconomic problems, including gentrification. Prevention of the gentrification, therefore, is one of the key elements to make urban regeneration projects success. A monitoring system is a useful tool to figure out where the most vulnerable regions is and where the region with rapidly increasing rent is. However, a system requires a variety of longitudinal dataset because gentrification should be detected with various factors throughout a long period. This study uses Korean micro census data and official housing price data to identify a gentrification area and develop a gentrification monitoring system focusing on the city of Seoul. In order to develop a gentrification index, this study uses location quotient index with various socioeconomic variables suggested in the previous studies. The results show that the gentrification index developed in this study explains change in gentrification in Seoul quite well, and also shows that micro census data is better to detect Seoul’s gentrification as compared to aggregated data, such as administrative level (dong) data. Particularly, this study provides an evidence that each gentrification region has different socioeconomic characteristics by categorizing gentrification regions by four dimensions with consideration of gentrification stages, combining with land price data. It is suggested that gentrification should be spatially detected and monitored by using micro spatiotemporal big data as shown in this study.

키워드