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    서울시 도시형태 관련 지표가 토지가격에 미치는 영향 - 도시형태학적 접근방법을 중심으로 - = Effects of Urban Form Indicators on Land Prices in Seoul, Republic of Korea - An Urban Morphometric Approach -

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    https://www.riss.kr/link?id=A108378532

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    Urban forms have a significant effect on the quality of life, mobility patterns, land use, development and real estate prices as well as society, economy and environment. In spite of the significance, few studies have examined the effects of urban form indicators on real estate prices. This study measured twenty urban form indicators on five categories for Seoul in order to evaluate urban forms and the effects were investigated by land prices. The multi-level regression model was used to identify the effect on residential and non-residential land prices. As a result, residential and non-residential land prices were high in the cases of buildings with high density, street with excellent networks, higher building-to-land ratio, affordable clearance to next buildings and better land shapes. On the other hand, the prices were low in the cases of many neighboring parcels, overabundant buildings along street networks and distant clearance to next buildings. This study presented a model for urban forms to understand the change in urban space structures and anticipate the effect on land prices.
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    Urban forms have a significant effect on the quality of life, mobility patterns, land use, development and real estate prices as well as society, economy and environment. In spite of the significance, few studies have examined the effects of urban for...

    Urban forms have a significant effect on the quality of life, mobility patterns, land use, development and real estate prices as well as society, economy and environment. In spite of the significance, few studies have examined the effects of urban form indicators on real estate prices. This study measured twenty urban form indicators on five categories for Seoul in order to evaluate urban forms and the effects were investigated by land prices. The multi-level regression model was used to identify the effect on residential and non-residential land prices. As a result, residential and non-residential land prices were high in the cases of buildings with high density, street with excellent networks, higher building-to-land ratio, affordable clearance to next buildings and better land shapes. On the other hand, the prices were low in the cases of many neighboring parcels, overabundant buildings along street networks and distant clearance to next buildings. This study presented a model for urban forms to understand the change in urban space structures and anticipate the effect on land prices.

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