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우이신설경전철이 주변 아파트 가격에 미치는 영향에 관한 연구

Title
우이신설경전철이 주변 아파트 가격에 미치는 영향에 관한 연구
Other Titles
A Research on the Influences of the Ui-LRT(Light Rail Transit) on the Prices Surrounding Apartments.
Author
한다솜
Alternative Author(s)
Han Da Som
Advisor(s)
최창규
Issue Date
2018-08
Publisher
한양대학교
Degree
Master
Abstract
아파트의 가격은 부동산 고유의 특성, 주변 환경 등 다양한 요인의 영향을 받는다. 그중 교통 접근성은 아파트 가격에 가장 큰 영향을 주는 요인으로, 이에 본 연구는 교통 접근성 향상이 가져다주는 간접 효과 중 아파트 가격에 초점을 두고 그 영향력을 분석하고자 하였다. 특히 우이경전철의 경우 다른 주 도시철도와는 다른 경전철이라는 특성으로 인해 역세권에 대한 영향력이 다를 것으로 보고 우이경전철이 주변 아파트에 미치는 영향을 다중회귀분석을 이용해 분석을 실시하였다. 전체 표본을 대상으로 기본 모형을 추정 후, 착공 및 준공 시점에 따라 기간 모형, 역과의 거리에 따라 역세권 모형, 우이경전철 이용객 수를 고려한 이용객 모형을 만들고 우이경전철을 기준으로 서쪽 지역과 동쪽 지역을 나누어 지역모형을 순차적으로 추정하였다. 분석 결과를 요약하면 다음과 같다. 첫째, 우이경전철 서쪽 지역에서는 전철역과의 거리, 중학교 및 고등학교와의 거리 같은 주변 환경 특성 변수가 아파트 가격에 주요한 영향을 주고 있음을 알 수 있었다. 기존의 연구에서는 아파트 가격에 영향을 미치는 주요 요인이 전용 면적과 같은 아파트 단지 특성 변수였는데, 우이경전철 서쪽의 경우 주변 환경 특성 변수가 아파트 가격에 영향을 미치는 주요 변수로 작용했다. 둘째, 우이경전철 역세권을 동쪽과 서쪽을 나누어 비교 분석한 결과, 동쪽에서는 역세권 유무의 영향력이 아파트 가격에 정(+)의 효과를 미쳤으나, 그 영향이 아파트 가격에 영향을 주는 다른 변수들에 비해 낮은 것으로 분석되었다. 서쪽에서는 역세권 유무의 영향력이 부(-)의 값을 나타내고 있어 오히려 아파트 가격에 부정적인 영향을 주는 것으로 나타났다. 이를 통해 같은 역세권이라 하더라도 다른 요인에 의해 교통 접근성이 주는 영향력이 변화함을 수 있음을 알 수 있었다. 결론적으로 우이경전철의 경우 기존 전철에 비해 역세권에 대한 영향력이 낮다고 볼 수 있다. 본 연구를 통해 우이경전철이 주변 아파트 가격에 미치는 영향에 대해 알 수 있었다. 하지만 4호선 역세권의 영향력을 완전히 배제하지 못한 점, 역세권의 범위가 지역마다 다름에도 불구하고 동일하게 500m를 기준으로 분석을 한 점, 우이경전철의 무임승차 인원을 고려하지 않고 단순 이용객 수만 고려한 점, 개통이 된 지 얼마 되지 않아 데이터가 충분하지 않은 상태에서 연구가 이루어진 점 등이 한계로 남는다. 주제어 : 경전철, 역세권, 접근성, 다중 회귀 분석
The prices of the apartments receive the influences of the diverse factors, including the special characteristics that are inherent in the real estate, the surrounding environment, etc. Among these, the transportation accessibility is a factor that has the biggest influence on the price of an apartment. As such, this research had focused on the prices of the apartments, among the indirect effects that are brought forward by the improvement of the transportation accessibility, and had intended to analyze the influence. Especially, in the case of the Ui-LRT, due to the special characteristic of being a light rail transit that is different from the other, main, urban railroads, it had been seen that the influence on the railway station sphere is different, and, regarding the influence of the Ui-LRT on the surrounding apartments, an analysis was carried out by using the multiple regression analysis. After estimating the basic model with all of the samples as the objects, a period model had been made according to the time points of the beginning of the construction and the completion of the construction, the railway station sphere model was made according to the distance from the railway station, and the users model considering the number of the users of the Ui-LRT was made. And, based on the Ui-LRT, by dividing into the western region and the eastern region, the regional models were assumed consecutively. If I were to summarize the results of the analysis, they are the following: Firstly, it was able to find out that, in the region that is west of the Ui-LRT, the special characteristic variables of the surrounding environment like the distance to the subway station and the distances to the junior high school and the senior high school had been having the main influences on the prices of the apartments. In the pre-existent researches, the main factor that had the influence on the prices of the apartments was a special characteristic variable of the apartment estate like the areas for the exclusive use. In the case of the western side of the Ui-LRT, the special characteristic variable of the surrounding environment had acted as a main variable that has the influence on the prices of the apartments. Secondly, as a result of having carried out a comparative analysis by dividing a railway station sphere of the Ui-LRT into the eastern side and the western side, although, in the eastern side, the influence of whether or not there was the railway station sphere had the positive (+) effect on the prices of the apartments, it was analyzed that the influence had been lower compared to the other variables that give the influences to the prices of the apartments. Because, in the western side, the influence of whether or not there was the railway station sphere had shown a negative (-) value, it appeared that, instead, it gave the negative influence to the prices of the apartments. Through this, it was able to know that, even if it is the same railway station sphere, the influence given by the transportation accessibility can change because of the other factors. In conclusion, it can be considered that, in the case of the Ui-LRT, the influence on the railway station sphere had been lower compared to the pre-existent subway. Through this research, it was able to find out about the influence of the Newly-Established Ui-LRT on the prices of the surrounding apartments. But, the following remain as the limitations: The point that the influence of the Number 4 Line Railway Station Sphere could not be completely excluded
The point that, despite the fact that the range of the railway station sphere is different in every region, the analysis took place with 500m as the standard in the same way
The point that only the simple number of the users was considered without considering the number of the people on a free ride on the Newly-Established Ui-LRT
The point that the research had taken place in the condition in which the data had not been sufficient because it has not been long since the opening
Etc. Keywords : Light Rail Transit (LRT), Railway station sphere, Accessibility, Multiple regression analysis
URI
http://dcollection.hanyang.ac.kr/common/orgView/000000107315http://repository.hanyang.ac.kr/handle/20.500.11754/76032
Appears in Collections:
GRADUATE SCHOOL OF REAL ESTATE CONVERGENCE[S](부동산융합대학원) > REAL ESTATE(부동산학과) > Theses (Master)
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