• Title/Summary/Keyword: Public Housing Development Projects

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The Process of Urban Development of Chilgok District in Daegu City (대구시 칠곡지구의 도시발달)

  • Jin, Won-Hyung
    • Journal of the Korean association of regional geographers
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    • v.10 no.1
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    • pp.83-95
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    • 2004
  • Chilgok District is a historical area, which has had a certain amount of development. It has its own regional characteristics originating from its isolation from the existing built up area of Daegu City by the Kumho River This study explores the historical development processes and pending development issues of Chilgok District. In 1640 after the Japanese invasion of Korea in 1592, the district upgraded into Chilgok Dohobu due to its importance as a transportation hub of Youngnamdaero(the main road of Youngnam province in Chosun Dynasty). In its early stages, the government office was located in Kasan fortress, later the of office was moved to Eupnae-Dong. The Chilgok district has experienced a developmental lag resulting from the office's removal to Waegwan, located on the Kyungbu railroad since 1914. Later, due to the increasing influence of nearby Daegu City, urbanization continued gradually. Finally in 1981 Chilgok district was officially incorporated into Daegu Metropolitan City. In the later 1980s, the housing land development project was applied into the district centered on the alluvial plain of Palgeo-Cheon(stream) of the Northern part of Taejun-Bridge. Although the old built up zone was excluded from public sector development projects, private sector development has made the zone a modern town. Now, Chilgok district has transformed into a high-density residential new town in which high-rise apartment complexes mingle with numerous houses. As the district has developed, traffic jams have become a hot issue and it is going to get worse than now as the development continues. To solve this problem, Daegu city needs to swiftly construct the fourth belt way and the third subway line.

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A Study on Exploring Urban Renewal Areas Using Spatial Density Analysis (공간 밀도분석을 이용한 재정비 대상지 탐색에 관한 연구)

  • Kijung Kim;Seungwook Go;Jinuk Sung
    • Land and Housing Review
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    • v.14 no.2
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    • pp.35-50
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    • 2023
  • The purpose of this study is to identify areas in need of urban renewal by utilizing spatial data and analyzing their types and characteristics. For this, this research employed a kernel density function and K-means cluster analysis with spatial data, through which it sought ways to identify high-demand areas for urban renewal projects. The key findings and implications of the research are summarized as follows. Firstly, this research classified 587 target sites in Seoul based on development density (ratios) and an indicator for aged buildings. Approximately half of these areas were consistent with leading pilot project sites and Accelerated Integration Sites. Secondly, it was observed that residential environments in the designated leading pilot project sites, as decided by public sectors, were relatively poor compared to other areas. Lastly, the target areas for urban renewal were not clearly categorized through statistical analysis. Instead, it was found that categorization should be made depending on the requirements of each project.

A Study on the Process of Pacific Park Development in NYC -Focusing on the Changes & Responds Shown in the Development Process- (뉴욕시 퍼시픽 파크 개발의 진행과정에 대한 분석적 고찰 -개발 진행상의 변화 및 위기대응과정을 중심으로-)

  • Lee, Woo Hyoung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.1
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    • pp.745-752
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    • 2020
  • The purpose of this study is to analyze the development progress of Pacific Park (formerly Atlantic Yard) in Brooklyn, New York City. Along with the Hudson Yards Development in Manhattan, Pacific Park is one of New York City's leading large-scale urban development projects using space right above an existing railway and has attracted worldwide attention. With the resurgence of large-scale development, its advanced form has received social attention. In particular, the development was evaluated as an exemplary development using the Community Benefits Agreement, which benefits local residents. Unfortunately, due to various difficulties, the development has been struggling from delays and changes away from the early stages, which have also caused social concerns and criticism. In this regard, this study examines the development through the process and the public sector's responses to the risk-inducing factors and reactions. The theoretical background of the US urban redevelopment is examined, and the specific changes and major contents of the project are analyzed. The following implications were drawn based on changes and responses in the development process: 1) securing the flexibility and mandatoryness of developers, 2) comprehensive control of the development site, 3) communication with and responding to the public, 4) securing additional financial resources, and 5) verification of new technologies.

Development of Historical Data Selection Model Using Non-parametric test in Public Sector - focused on Reinforced Concrete Works of Multi-housing Projects - (비모수 검정기반 공공부문 실적단가 선정모델 개발 -공동주택 철근콘크리트 공종을 중심으로-)

  • Lee, Hyun-Ki;Jeon, Jae-Yong;Park, Sung-Chul;Hong, Tae-Hoon;Koo, Kyo-Jin;Hyun, Chang-Taek
    • Korean Journal of Construction Engineering and Management
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    • v.9 no.1
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    • pp.87-95
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    • 2008
  • The government wants to apply the construction cost estimating method based on historical data published in the first six months of 2004. Construction companies, however, require the proposed cost estimation model, to be improved which makes it difficult to predict a reasonable construction costs. This paper presents an improved historical data selection model after analyzing the problem of previous method throughout comparing contracted unit prices of reinforced concrete works selected by the previous model to market prices. The model which can select more feasible data would assist participates such as general contractors and sub-contractors to earn a proper profits.

A Development Plan for Co-creation-based Smart City through the Trend Analysis of Internet of Things (사물인터넷 동향분석을 통한 Co-creation기반 스마트시티 구축 방안)

  • Park, Ju Seop;Hong, Soon-Goo;Kim, Na Rang
    • Journal of Korea Society of Industrial Information Systems
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    • v.21 no.4
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    • pp.67-78
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    • 2016
  • Recently many countries around the world are actively promoting smart city projects to address various urban problems such as traffic congestion, housing shortage, and energy scarcity. Due to development of the Internet of Things (IoT), the development of a smart city with sustainability, convenience, and environment-friendliness was enabled through the effective control and reuse of urban resources. The purpose of this study is to analyze the technical trends of IoT and present a development plan for smart city which is one of the applications of the IoT. To this end, the news articles of the Electronic Times between 2013 and 2015were analyzed using the text mining technique and smart city development cases of other countries were investigated. The analysis results revealed the close relationships of big data, cloud, platforms, and sensors with smart city. For the successful development of a smart city, first, all the interested parties in the city must work together to create new values throughout the entire process of value chain. Second, they must utilize big data and disclose public data more actively than they are doing now. This study has made academic contribution in that it has presented a big data analysis method and stimulated follow-up studies. For the practical contribution, the results of this study provided useful data for the policy making of local governments and administrative agencies for smart city development. This study may have limitations in the incorporation of the total trends because only the news articles of the Electronic Times were selected to analyze the technical trends of the IoT.

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."

Spatial problems of Korea -A delphi survey- (國土管理의 方向定立을 위한 國土診斷 -專門家 集團의 問題意識을 中心으로-)

  • Kim, Inn;Yu, Woo-Ik;Huh, Woo-Kung;Park, Young-Han;Park, Sam-Ock;Yu, Keun-bae;Choi, Byung-Seon
    • Journal of the Korean Geographical Society
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    • v.29 no.1
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    • pp.16-38
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    • 1994
  • The spatial structure of Korea has been changed drastically during the second half of this century. The events such as the Korean War and the resultant division of the Korean Peninsular into two Koreas, rapid industrialization and urbanization are the major causes among others for the spatial changes of the nation. The changes in turn have spawned a number of spatial problems. It is time, we argue, to diagnose how much the nation is now ill-structured, and to discuss of which directions the long-term spatial management be reoriented. A delphi survey was conducted during the early 1993 to fulfill such research needs. Questionnaires were distributed among geographers, planners, and high governmental officials throughout the nation. These 'experts of spatial problems' were requested to evaluate the past spatial policies and strategies, and to identify spatial and environmental problems at the national, regional and local levels. The survey included questions with regard to the spatial problems in North Korea too. A complementary literature survey in the fields of spatial sciences was accomplished as well in order to identify the major research interests and issues with regard to the nations's spatial structure. The delphi survey results indicatee that the present spatial structure: in relation to consumption, housing and economic activities is satisfactory in overall, while rather poor in terms of education, leisure and community activities. Most of the experts consider infrastructural improvements are urgent in the areas of roads, waste disposal facilitles, railroads, harbors, water supply and drainage systems. The over-concentration of economic, social and political function in the Seoul Metropolitan Region is perceived to be the most serious spatial problem in Korea. The long-term solutions suggested are strategies toward a more balanced regional development as well as toward a cleaner environment. The concensus among the experts for the short-term solution is the redistribution of population and industries from the Seoul Metropolitan Region to the intermediate and small cities. The land use policies and concurrent large-scale infrastructural projects are evaluated largely pertinent and desirable in general. It is, however, suggested that development projects be conducted in a more harmonious way with environment. The survey respondents suggest that the present environmental management policies should be reexamined critically. With regard to regional and local problems, transportation and pollutions are thought to be most serious in the Seoul Metropolitan Region, while employment opportunities, and information, education and health care services are most deprived in small cities and rural areas. The majority of the experts consider a city size of 250, 000-500, 000 population is desirable to live within. Respondents beileve that North Korea's physical environment is still not aggravated much whereas its infrastructural provisions are largely pool. The co-authors of this research figure a "environmentaly sound and spatially balanced Korean Penninsular" as the ideal type of spatial structure in Korea. The basic guidelines toward this ideal prototype are suggested: the recovery of spetial integrity, progressive restructuring of the nation, land uses geared to public welfare rather than private interests, and eco-humanistic approach in spatial policies.

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