• Title/Summary/Keyword: Deteriorated Housing

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Preference Analysis on the Reconstruction and Remodeling of Old Aged Apartment in Daejeon Area (대전지역 노후화된 아파트의 재건축과 리모델링에 대한 선호도 분석)

  • Park, Sun-Gyu
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.4 no.2
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    • pp.180-186
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    • 2016
  • There are many apartment buildings with the government's policy of increasing the supply of residential houses in Korea. Roughly 60% of the Korea population are living in apartment buildings. Since the 1970s, the Korean economy has grown enormously, the economic and social structure was radically transformed to industrialization and urbanization step. A village has grown into a large town in Korea and apartment buildings was constructed to solve national housing shortage by the Korean government and the construction company. Since the 2000s, this apartment buildings which was built in the 1970s and 1980s had become gradually deteriorated. So, reconstruction and remodeling project of apartment buildings have been come into request in Korea. There are two way to improve the residential environment. The one is remodeling of apartment buildings and the other is reconstruction of that. Therefore, we carried out questionnaire and survey study of the preference on the reconstruction and remodeling of old aged apartment which were located in daejeon province. As a result, the preference rate of remodeling is increasing instead of reconstruction because reconstruction of apartment buildings takes more money and needs long construction period.

Respite Care와 영적케어의 고찰

  • Sin, Min-Seon
    • Korean Journal of Hospice Care
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    • v.5 no.1
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    • pp.50-62
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    • 2005
  • The elderly people was over 8.3% in 2003. This seament is projected to grow to 14.4% by 2019(Aged society) and over 20% by 2026(Super aged society). As the elderly population is increasing and young population is declined social issues around elderly care are emerged in Korea. As a result of that, they are in the condition of poor system of the welfare of the old and it is the worst one in Korea. And because of the worst financial independence and difficulty in Korea, welfare facilities and medical instruments are so insufficient and deteriorated, so the quality of service is getting low. Furthermore the mortality of cancer is rapidely increased in recent years. So it is expected that the number of families who are caring for terminal cancer patient will be increased. We can not solve those problems only with government's policy such as to secure ample budget and to enlarge the aged welfare institutions. Definitely, to acheve the suggetions persistence concern about old people is most important, and family, community and national government should be linked to accomplish to goal. Accordingly, for this study attempts to provide conceptual framework of the respite care, spiritual care and home hospice, nursing home for the elderly. And this study is to discuss the necessity and effect about the construction of housing welfare infrastructure and to make a cooperation and linkage system among the aged welfare institutions, government and the aged welfare programs. As is well known, the issue of the increasing aged people is neither a matter of individuals nor of the family, but rather a complex matter of whol society. Therefore it can be resolved by the active participation of government. Conclusively this study tries to provide an direction of the improvement with regard to the welfare policy for the elderly. The study is as follwos: Chapters 1: The theological base, conception, essentiality, respite care, spiritual care and home hospice, nursing home for the elderly. Chapters 2: Definitions of respite care, spiritual care, hospice, patient of termina cancer and quality of life. And relations between respite care and nursing home. Chapters 3: The necessity of long-term care insurance and the perspectives of spiritual care. Chapters 4: Conclusions and summarizing(The directions of improvement of welfare policy for the elderly). To sum up, the problems of the aged people has not effects only to the aged people. This means that the problems of aged is the problems of the young generation today. Because young generation will be the old generation in the near future.

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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."

Comparison Analysis of Environmental Performance between Reconstruction and Remodeling Alternatives for Aged - Focused on CO2 Emissions Analysis - (공동주택 재건축과 리모델링의 친환경성 비교분석 - CO2 배출량 분석을 중심으로 -)

  • Kim, Chibaek;Shin, Dongwoo;Han, Juyeon;Hwang, Youngkyu
    • Korean Journal of Construction Engineering and Management
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    • v.15 no.1
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    • pp.87-100
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    • 2014
  • Environmental problems and the shortage of natural resources are currently gathering more attention in Korea and international countries. With these problems, it is reported that most current domestic buildings are emitting approximately 138 million tons of greenhouse gas. According to a recent report from the investigation of Korean housing population, the total number of households is approximately 12.9 millions, and the apartments that were built more than 15 years ago amounted to 3.1 millions. This shows that the rates of old apartment housings are increasing. Therefore, it is necessary to consider the deteriorated facilities and environmental improvement. Also, the construction industry is benefited by improving these housings which may need either remodeling or reconstruction. Environmental friendly buildings are a rising consideration for remodeling and reconstruction projects; it helps to determine many business matters in construction. The main purpose of this research is to improve environmental condition in apartments with comparison analysis between remodeling and reconstruction alternatives. This research is focused on characteristics of remodeling and reconstruction and it sets up the same condition with each level in order to evaluate the value of environmental friendliness and analyze its definition. The result of this research provides a unique emitting rate at a novel framework and this will cause the reduction of $CO_2$. It is analyzed that the remodeling construction can reduce the great amount of $CO_2$. Therefore, it will be a good decision guideline in selecting the most eco-friendly alternative to improve environment for building construction. Although reconstruction is a popular alternative nowadays in Korea, this research can provide a reason why decision makers should put more emphasis on remodeling as an environment-friendly alternative.