통근 네트워크 중앙성 분석과 주거용 토지가격 효과 연구: 서울시를 사례로

초록

This study aims to isolate the effects of commuting network centrality on residential land price in Seoul, Korea. Network metrics include in-degree, out-degree, betweenness, closeness, prestige centrality, clustering coefficient, and Reciprocated Vertex Pair Ratio(RVPR) of Dong-unit in Seoul. Multilevel regression models confirm that in-degree centrality, closeness, betweenness, and prestige centrality have increased the residential land price. In the models, however, clustering coefficient and RVPR have decreased the price. The key findings provide insightful policy implication for measuring dynamic urban spatial structure and decision-making of urban planners, urban designers, and transportation planners.

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