보행친화적 근린환경이 주택가격에 미치는 영향*

Abstract

The purpose of this study is to analyze which factors of pedestrian-friendly neighborhood environments can affect housing prices on apartment complexes and low or multi-family housings in Daegu and to examine differences in between the two types. A dependent variable is the average of actual market prices per m² sold in Daegu, 2020 by each complex and independent variables consist of architectural characteristics and pedestrian environment (accessibility, comfortability, convenience and safety). The spatial regression model was used for analysis in terms of spatial relations for housing prices. As a result, the prices of apartments were likely to rise as they were close to a subway station or the density of small commercial facilties was low or the density of crosswalks was high. The prices of low or multi-family housings were possible to ascend as they were near to a subway or bus station or a high school or the density of streetlights was high. The results demonstrated that the pedestrian-friendly environment that people preferred was different from housing types and heightened housing prices. This study is very important as it analyzed the influence of the pedestrian-friendly environment on housing prices based on different housing types. This study is expected to be used for basic data of measures to create sound housing markets and promote sustainable diversification of housing types.