• 제목/요약/키워드: Residential Real Estate

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A Study on the Publicness of Brooklyn Navy Yard Industrial Business Zone - Focus on Policy, Managerial Responses - (브루클린 네이비 야드 산업단지의 공공성에 대한 연구- 정책·운영적 대응을 중심으로 -)

  • Yun, Jun-hyuk;Lee, Kang-jun
    • Journal of Urban Science
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    • v.11 no.1
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    • pp.49-57
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    • 2022
  • Semi-industrial zone is the area where manufacturing, residential, commercial zones are mixed. Despite of their potentials in that proximity to city and convenient transportation infrastructure, a lot of semi-industrial zones in Korea have converted to other uses due to many issues such as change of industry, increasing land price, real estate speculations. Recently, local government is trying to solve their existing issues and develop them through a restoration of publicness. Now publicness is thought of as a key factor of regeneration in semi-industrial areas. In this regard, this study aims to examine the way of restoring publicness revealed in Brooklyn Navy Yard mainly focus on their urban contexts and architectural ways. Brooklyn Navy Yard, an exemplary case, is an industrial complex that has grown economically, socially and culturally through emphasizing publicness and it is evaluated as an advanced example of public industrial complex. Through the analysis of Navy Yard, this study was trying to emphasize the importance of publicness in the regeneration of semi-industrial areas and to provide implications for the Seoul Government's solutions, which are still in the conceptual stage. To analyze the publicness of the study subjects, framework and elements were derived by examining related theories and prior researches. Depending on this frame, the results of the publicness of the Navy Yard were as follows. First of all, the 'Publicness as an officiality' was identified at the characteristic of the site and Navy Yard development corporation. Second, the 'Publicness as a public interest' of the Navy Yard Development Corporation was identified in various ways of its operation methods. Finally, the 'Publicness as an accessibility' was identified in the opening of urban and architectural spaces in Navy Yard. These publicness were analyzed with seven Navy Yard's success factors. Thus, it can be interpreted that the publicness of the semi-industrial areas can contribute significantly to their success. The publicness restoring methods of Navy Yard could be used as a basic data in semi-industrial areas in the future in Korea. However they are limited to be applied directly, so extensive and in-depth research in terms of their applicability should be conducted.

A Study on the Influence Factors of the Ratio of Assessment Value to Sale Price of Forest Land - Focused on the Sales Case of Forest Land in Gwangju, Gyeonggi-do - (임야가격의 현실화율 영향요인 연구 - 경기 광주의 임야 거래사례를 중심으로 -)

  • Lee, Kyu-Tai
    • Journal of Cadastre & Land InformatiX
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    • v.53 no.2
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    • pp.19-37
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    • 2023
  • This study empirically analyzed the determinants of the assessment ratio (hereinafter 'AR') based on a total of 2,129 sales cases of forests in Gwangju, Gyeonggi-do. The main findings of this study through multiple regression analysis are summarized as follows. First, this study shows that regional characteristics have significantly different effects on the AR of forest land prices. Specifically, there was a significant difference in the AR depending on the location of the parcel by sub-region and the ratio of residential area, and the higher the number of development plans in progress, the more likely the officially assessed land price will be formed close to the sale price. Second, this study analyzed that location characteristics such as the proximity of the inner and outer center of the jurisdiction and traffic accessibility had a significant influence on the determination of the AR. Third, this study identified significant differences in AR depending on detailed factors such as planning management areas, production management areas, conservation areas for mountain, conservation areas for nature, and restricted development areas as land use and regulatory characteristics of forest lands. Fourth, this study found that land characteristics are a significant factor influencing the AR as an individual factor in forest land.

A study on the Analysis of Locational Characteristics of REITs Assets (운영부동산 유형별 리츠자산의 입지특성 분석에 관한 연구)

  • Jung Jaeyeon;Lee Changsoo
    • Journal of the Korean Regional Science Association
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    • v.40 no.1
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    • pp.89-110
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    • 2024
  • REITs are very closely related to real estate management, but there have been no prior studies analyzing the location of REITs assets. Therefore, this study analyzed the location characteristics of REITs assets in two aspects to clarify the location characteristics by using spatial information of REITs assets. First, the characteristics of the type of city where REITs assets are distributed were analyzed, and second, the characteristics of the zoning where REITs assets are distributed were analyzed. As a result of analyzing the characteristics of the city where REITs assets are distributed by type, it was analyzed that in the case of the capital area, both the ratio of cities with REITs assets location and the intensity of REITs assets location (number of REITs assets per city) have location characteristics by city hierarchy in the order of metropolitan city > big city > small and medium-sized city. In the case of non-capital area's metropolitan and large cities, the ratio of REITs assets location cities is similar to that of the capital area, but the location intensity of REITs assets was analyzed to be significantly lower than that of the capital area. As a result of the analysis of REITs assets by type, housing REITs assets tend to be located in the old downtown commercial zoning and the new downtown residential zoning, office REITs assets are characterized by concentration of location in specific commercial zoning of Seoul, and retail REITs assets are located mainly in the old downtown station area. In addition, it was found that logistics REITs assets tend to be located in management zoning, centering on key logistics hub cities in the region.

Suggestion of Urban Regeneration Type Recommendation System Based on Local Characteristics Using Text Mining (텍스트 마이닝을 활용한 지역 특성 기반 도시재생 유형 추천 시스템 제안)

  • Kim, Ikjun;Lee, Junho;Kim, Hyomin;Kang, Juyoung
    • Journal of Intelligence and Information Systems
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    • v.26 no.3
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    • pp.149-169
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    • 2020
  • "The Urban Renewal New Deal project", one of the government's major national projects, is about developing underdeveloped areas by investing 50 trillion won in 100 locations on the first year and 500 over the next four years. This project is drawing keen attention from the media and local governments. However, the project model which fails to reflect the original characteristics of the area as it divides project area into five categories: "Our Neighborhood Restoration, Housing Maintenance Support Type, General Neighborhood Type, Central Urban Type, and Economic Base Type," According to keywords for successful urban regeneration in Korea, "resident participation," "regional specialization," "ministerial cooperation" and "public-private cooperation", when local governments propose urban regeneration projects to the government, they can see that it is most important to accurately understand the characteristics of the city and push ahead with the projects in a way that suits the characteristics of the city with the help of local residents and private companies. In addition, considering the gentrification problem, which is one of the side effects of urban regeneration projects, it is important to select and implement urban regeneration types suitable for the characteristics of the area. In order to supplement the limitations of the 'Urban Regeneration New Deal Project' methodology, this study aims to propose a system that recommends urban regeneration types suitable for urban regeneration sites by utilizing various machine learning algorithms, referring to the urban regeneration types of the '2025 Seoul Metropolitan Government Urban Regeneration Strategy Plan' promoted based on regional characteristics. There are four types of urban regeneration in Seoul: "Low-use Low-Level Development, Abandonment, Deteriorated Housing, and Specialization of Historical and Cultural Resources" (Shon and Park, 2017). In order to identify regional characteristics, approximately 100,000 text data were collected for 22 regions where the project was carried out for a total of four types of urban regeneration. Using the collected data, we drew key keywords for each region according to the type of urban regeneration and conducted topic modeling to explore whether there were differences between types. As a result, it was confirmed that a number of topics related to real estate and economy appeared in old residential areas, and in the case of declining and underdeveloped areas, topics reflecting the characteristics of areas where industrial activities were active in the past appeared. In the case of the historical and cultural resource area, since it is an area that contains traces of the past, many keywords related to the government appeared. Therefore, it was possible to confirm political topics and cultural topics resulting from various events. Finally, in the case of low-use and under-developed areas, many topics on real estate and accessibility are emerging, so accessibility is good. It mainly had the characteristics of a region where development is planned or is likely to be developed. Furthermore, a model was implemented that proposes urban regeneration types tailored to regional characteristics for regions other than Seoul. Machine learning technology was used to implement the model, and training data and test data were randomly extracted at an 8:2 ratio and used. In order to compare the performance between various models, the input variables are set in two ways: Count Vector and TF-IDF Vector, and as Classifier, there are 5 types of SVM (Support Vector Machine), Decision Tree, Random Forest, Logistic Regression, and Gradient Boosting. By applying it, performance comparison for a total of 10 models was conducted. The model with the highest performance was the Gradient Boosting method using TF-IDF Vector input data, and the accuracy was 97%. Therefore, the recommendation system proposed in this study is expected to recommend urban regeneration types based on the regional characteristics of new business sites in the process of carrying out urban regeneration projects."

Internal Structure of the Sense of Place for Parks that were aimed at Reenacting the Place Memory - Focusing on Seoul Park and Seonyudo Park - (장소기억의 재현을 주제로 조성된 서울숲, 선유도공원의 장소성 형성 구조 연구)

  • Im, Seungbin;Kwon, Yoonku;Jeong, Younhee;Hue, Younsun;Byeon, Jaesang;Choi, Hyungsuk
    • Journal of the Korean Institute of Landscape Architecture
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    • v.42 no.5
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    • pp.1-12
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    • 2014
  • Recently, the reenaction of place's memories that were considered sense of place based on its historical and structural characteristic were assumed important topics for recovering and making the park from industrial sites, such as factory, industrial complex, industrial city, labor residential development, landfill, etc., to the public all over the world. This research aimed to conduct some preliminary data for making the park's sense of place highly. So, after conducting the structural forms of sense of place for Seoul Forest and Seonyudo Park that were designed and built by considering its place memories actively, park planning and design implications that were considered its sense of place were suggested. The research results those were derived from the structural forms of sense of place for Seoul Forest and Seonyudo Park's are the following. First, the Structural Equation Modeling(SEM) on Seoul Forest and Seonyudo Park were determined that the natural-physical, artificial-physical, and experiential environmental factors' satisfaction of Seoul Forest and Seonyudo Park have an effect on forming the Sense of Place. In addition, the sense of place was affected by the willingness to visit. Second, according to its physical environment, the experiential factors, such as plays, exercises and etc., were more important relatively. Therefore, experiential factors should be considered significantly with physical factors to make the sense of place highly. Third, even the places were under similar category, the factors' and valuables' relative importance were changed. As the results of structural equation modeling said, specific valuables' related with each factors would be differentiated due to the places' characteristics. For example, the results were showed that natural-physical factor was more important than artificial-physical factor in Seoul Forest. On the other hand, artificial-physical factor was more important than the natural- physical factor. This research carries some significance for applying a quantitative research method(structural equation modeling) to various place to conduct the sense of place's structural model, for suggesting relative specific methods to make the sense of place, and for being a step forward to substance of sense of place. If further studies conduct focusing on various places to draw the forming models of sense of place that were based this research's analysis methods and results, those researches would contribute to make the urban place meaningful, characteristically and affectionately. Furthermore, those researches would contribute in making a humane and competitiveness city.

Measuring Economic Values of Amenity Services from Urban Greenspaces in the Seoul Metropolitan Area Using Choice Experiments (선택실험을 이용한 서울 도시녹지 어메니티의 경제가치 평가)

  • Choi, Andy S.;Eom, Young Sook
    • Environmental and Resource Economics Review
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    • v.27 no.1
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    • pp.105-138
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    • 2018
  • This paper reports novel empirical results of a choice experiment that elicited the economic values that residents in the Seoul metropolitan area place on the amenity services realized from the landscape views and accessibilities to urban green spaces (i.e., mountains, rivers and urban parks). The 1,000 respondents in the sample were divided into two residential of housing types (apartments vs. houses) and occupancy types (owners vs. tenants). Residents living in apartments are willing to pay an average of 28% (5.0 million KRW per year) above the current housing prices per household for a mountain view, compared to an apartment view from their living room. Their willingness to pay values are about 22% (4.0 million KRW per year) and 10% (1.8 million KRW per year) respectively for a river view and a urban park view. Economic benefits of having access (i.e., a 10 minutes working distance) to mountains, rivers and urban parks are estimated to be an average of 16% (2.9 million KRW per year), 20% (3.6 million KRW per year) and 18% (3.2 million KRW per year), respectively, above the current housing prices per household. On the other hand, access benefits for those residing in houses are 18% (4.7 million KRW per year), 16% (4.1 million KRW per year) and 22% (5.6 million KRW per year) per household, respectively. They are also willing to pay an average of 35% (8.9 million KRW per year) above the current housing prices for keeping or having a garden or vegetation bed. Furthermore, a strong "greenspace premium" is centered around the three Gangnam districts for house-dwellers, whereas it is areas of "new real estate boom" for apartment dwellers.