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다수준모형을 이용한 보행친화적환경이 공동주택 전세가격에 미치는 영향

A Study on the Effect of Walking Environment (Characteristics) on Apartment Housing Rental Prices using Multi-Level Model

  • 서민정 (부산대학교 도시공학과) ;
  • 최열 (부산대학교 도시공학과)
  • 투고 : 2017.08.08
  • 심사 : 2017.08.31
  • 발행 : 2017.10.01

초록

본 연구는 공동주택의 부산광역시 554개 국가기초구역과 1832세대의 개별세대주택을 대상으로, 기존의 건축 단지특성과 보행친화특성이 공동주택가격에 끼치는 영향에 대하여 분석하였다. 개별세대주택과 국가기초구역의 다양한 공간구역 특성을 바탕으로 보다 정확한 다층적인 분석을 위해, multi-level models 을 이용하였다. 분석 결과, Level-2의 국가기초구역별 보행친화특성은 전체분산의 약 77%를 잠재적으로 설명하였으며, 그 중 범죄안전특성에서 가장 많은 영향을 미치는 것으로 나타났다. 이것은 이전연구에서 많이 다뤄졌던 개별세대 공동주택별 분석보다, 한국에서 새롭게 제정된 국가기초구역에 따른 공간별 분석이 더욱 전체적으로 의미가 있다는 것을 의미한다. 이 연구결과는 요동치는 한국의 주택가격을 건강하고 안정적으로 유지할 수 있는 보행친화적인 도시설계 및 주택정책에 기여할 수 있을 것이라 생각한다.

We examine 554 state basic districts and 1832 householders in Busan metropolitan city to see whether the physical and walkable characteristics of housing influence apartment housing prices. We use two-level models modeling for a more accurate analysis. Walkable characteristics in level 2 state basic districts potentially explain 77% of the variation in housing values, with the highest impact on crime safety characteristics. Overall, our spatial multi-level analysis based on new state basic districts in Korea explained price variation better than previous studies, which considered each householder. The results provide policy opportunities for planners and citizen groups to pursue strategies that encourage the development of walkable and sustainable neighborhoods.

키워드

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