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도시철도교통이 환승 역세권과 거점통과 역세권 주택 가격에 미치는 영향에 관한 연구 -중국 상하이 지하철 16호선을 중심으로-
A Study on the Effect of Urban Railway Stations(Transit and Through Stations) on Housing Prices -Focused on Shanghai Subway Line 16, China-

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  • 발행기관
    부산대학교 중국전략연구소(구 부산대학교 중국연구소) 바로가기
  • 간행물
    Journal of China Studies KCI 등재 바로가기
  • 통권
    제23권 4호 (2020.12)바로가기
  • 페이지
    pp.1-26
  • 저자
    두페이페이, 김주진, 신우진
  • 언어
    한국어(KOR)
  • URL
    https://www.earticle.net/Article/A387776

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원문정보

초록

영어
Rail Transit improves the way residents travel, it greatly provides convenience while also affecting the surrounding housing prices. Rail Traffic not only entails different urban routes but is also a great source of research on other factors that impact the urban environment. Real estate developers are also very concerned about the development of railway traffic. Research on the impact relationship between railway transportation and real estate prices can provide useful insights to both real estate developers and consumers. Currently, the Shanghai Metro is being expanded, and the lines extend to the suburbs. Shanghai's subway construction is mature but there is not enough research on the effects it has had on the suburbs. In this regard, this new study will compare the transit stations and the base through stations of the Shanghai Line No. 16 and their subsequent impact on the aforementioned suburbs with regards to the real estate market. This paper is a comparison of transit stations and base through stations. This will first be accomplished by studying the concept of rail transit, real estate relevant theories, and market development through relevant literature. Second, the methodology of data analysis will be explored. After comparing the transportation cost model, the hedonic price model, and demand function comprehensive model of the expenditure system, finally, the hedonic model was chosen as the methodology. Cross sectional data were collected through the Internet and field survey methods, also using Fang.com, An Ju Ke, Lianjia, Baidu Map, Google Maps, etc. The main research objectives are the second-hand housing market around the transit stations and the base through stations; and grasping the influence of micro elements, regional elements, neighborhood elements, and structural elements on the surrounding housing prices. The independent variable uses the region, neighborhood, and structure variables while the subordinate variable uses the housing unit price. Using SPSS 24 statistics, regression analysis was carried out. In the hedonic model, a semi-logarithmic model with relatively high fitness was selected for empirical analysis. The analysis results can be summarized into four types. First, the studying of the impact of the two station types, the housing price data, and characteristic variable data of the adverse trend circle. By combining the characteristics of the Shanghai housing market and by utilizing a questionnaire survey, 14 characteristic variables were selected to construct the housing hedonic price model. Second, housing prices are affected by various factors. Using the semi-logarithmic function model, there were 10 variables influencing the housing prices around the transit stations, and 5 variables influencing the housing prices around the base through stations. Third, the transit stations and the base through stations have a positive impact on the surrounding housing prices. If the transit station is compared with the station crossing, the price of the houses near the subway stations of the transit stations are very high; and the farther away from the subway station, the higher the decline in the rate of the housing prices. Finally, if the transit stations are compared with the base through stations, the prices of the houses near the transit stations are very high while contrastingly the farther away from the subway station the location, the higher the decline in the housing prices. However, in contrast to this, the prices of houses near base through stations are relatively low, and the rate of decline with regards to distance is also low.

목차

Abstract
1. 서론
2. 이론적 고찰 및 선행연구 검토
2.1 도시철도교통의 개념과 상하이 지하철 16호선의 특성
2.2 부동산 가격 및 영향 요인
2.3 도시철도교통과 부동산 가격 간의 관계
2.4 선행연구 검토
3. 분석 방법 및 변수 설정
3.1 자료 수집 및 분석 방법
3.2 헤도닉가격모형(Hedonic Price Model)
3.3 변수 설정
4. 분석결과
4.1 응답자의 특성
4.2 변수의 기술통계 및 상관관계 분석
4.3 헤도닉가격모형 결정
4.4 환승역과 거점통과역 헤도닉 분석 결과
5. 결론
참고문헌

키워드

Urban Railway Transportation Transit Station Base Through Station Housing Prices Hedonic Price Model(HPM)

저자

  • 두페이페이 [ Du, Peipei | 전남대학교 일반대학원 지역개발학과 ] 제1저자
  • 김주진 [ Kim, Jujin | 전남대학교 일반대학원 지역개발학과 ]
  • 신우진 [ Shin, Woojin | 전남대학교 경제학부 ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    부산대학교 중국전략연구소(구 부산대학교 중국연구소) [Institute of China Strategy]
  • 설립연도
    2006
  • 분야
    사회과학>사회복지학
  • 소개
    본 연구소의 설립을 통해 우선 한중 양국 국민의 상호이해와 교류증진을 위한 인문, 사회과학적인 연구는 물론이고, 이를 통해 기업(인)이 중국에 안정적인 정착과 교류를 할 수 있는 각종 환경을 조성하고자 한다. 게다가 본 연구소는 기존의 연구소의 기능과는 달리 단순한 학술 교류에 머물지 않고 인적 교류를 통해 양국관계의 이해를 증진하고 나아가 한국과 중국의 각종 프로젝트를 적극 유치, 개발함으로써 지속적으로 재원의 창출을 도모하고자 한다.

간행물

  • 간행물명
    Journal of China Studies
  • 간기
    계간
  • pISSN
    1975-5902
  • eISSN
    3022-5590
  • 수록기간
    2006~2026
  • 등재여부
    KCI 등재
  • 십진분류
    KDC 912 DDC 951

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