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http://dx.doi.org/10.22669/krsa.2021.37.4.049

Analysis of Characteristics of the Cancelled Districts of Housing Redevelopment Project - Focusing on Decision Tree Analysis -  

Lee, Do-Ghil (서울시립대학교 도시공학과)
Publication Information
Journal of the Korean Regional Science Association / v.37, no.4, 2021 , pp. 49-59 More about this Journal
Abstract
This study aims to identify the characteristics of the cancelled districts of housing redevelopment and housing reconstruction project. The subject of this study is 189 project districts(121 promoted districts, 68 cancelled districts). Both 121 promoted districts and 68 cancelled districts were analyzed by Decision Tree Analysis. The first separation of the release zone influencing factors was made by the Development Actors. In other words, the most important independent variable for determining the release zone influence factor was shown to be the presence or absence of propulsion actors. Of the 89 districts without propellers, 41 were lifted and 48 were promoted, and 9 out of 100 districts with propellers were lifted and 91 were promoted. The second separation of the impact factors on the zone was then made by Land Owners, and the probability of cancellation increased if the number of landowners was less than 468 and 37 out of 62 were removed. On the other hand, four out of 27 districts with more than 468 landowners were lifted and 23 districts were promoted. The third separation was made by the Average Land Assessment, and 35 zones were lifted below the standard of KRW 269.64 million/m2 approximately KRW 8.91 million per pyeong, and two zones were lifted at higher official prices. In the second division, the number of landowners was 468 or more, and in node4, four areas were removed from areas with a public land area ratio of 29.43% or more, and no areas less were released. This study used SPSS Statistics 26 S/W for analysis.
Keywords
Housing Redevelopment Project; Cancelled Districts; Decision Tree Analysis; Random Forest;
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