• The Journal of the Korea Contents Association
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• v.14 no.6
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• pp.417-427
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• 2014

This study was investigated on the basis of the role of housing cooperatives in sustainable regional business networks(SLEN) in regeneration of residential aged area where the urban poor live. For the analysis, input elements of human capital, social capital, financial capital and ecological capital were examine. For the process, the organization's structure, sustainable business and social networks, and for the result, the stability and community characteristics of the living and the payment possibility of housing construction cost were examined. Through this study, what kinds of issues can be from the housing coop's project in terms of sustainability, and what is the most important factor in order to overcome former mentioned issues were intended to find. For analysis literatures were reviewed and the in-depth interviews and survey were conducted with site visits. The result of this study finds that housing coop have community characteristics through active participation of residents during the regeneration process but the land, as financial and ecological capitals, and housing construction funds were poor. This was investigated that it makes groundless the sustainability of the project and the possibility of the payment. In order to overcome, land concession, inexpensive lental and active funning for housing construction to housing coop is required because housing coop is aiming to supply of social housing for low-income and vulnerable groups.

• 주택과사람들
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• no.6 s.217
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• pp.88-89
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• 2008

• 주택과사람들
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• no.38 s.55
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• pp.117-149
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• 1994

• The Science & Technology
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• v.17 no.12 s.187
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• pp.50-56
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• 1984

이 논문은 지난 11월9일 한국과학기술단체총연합회와 한국주택조합협회가 공동으로 주최한 "주택개선을 위한 세미나"에서 발표된 요지이다

• 주택과사람들
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• s.76
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• pp.140-147
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• 1996

이 자료는 주택산업연구원이 지난 8월 20일 $\lceil$주택개량재개발사업 지연요인 분석 및 개선방안(6개지구 사례조사)$\rfloor$이라는 주제로 개최한 토론회 자료로서 발표내용은 발표자의 연구논문 최종단계에서 의견을 교환하는데 목적이 있다고 밝히고 있다. 이날 토론회에는 주택사업연구원의 김우진 수석연구원$\cdot$송현영 연구원이 발표자로 나섰으며, 본협회에서 2명을 비롯하여 건교부 $\cdot$서울시$\cdot$주택산업연구원$\cdot$주택사업공제조합$\cdot$대한주택건설사업협회 등에서 토론자로 참석했다.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.581-591
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• 2021

This study aims to understand the community sense and need for community programs for large scale cooperative rental housing residents, and to set the direction of the construction plan. To this end, a survey was conducted on visitors and contractors of the model house in Westaybyeolnae. As a result of the analysis, the most visitors to the model house were in their 20s and 30s, while the number of contractors in their 30s was the most. Most of the model house visitors currently do not participate in community activities, but the contractors wanted to interact with neighbors about once a week. The contractors had high demands for sports facilities and child-rearing facilities, and the most demanded for living cooperatives and child care services. However, the range of neighbors required by age, the degree of meeting, common facilities and programs required were different.

• 월간 기계설비
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• s.15
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• pp.88-91
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• 1991

• KHousing
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• v.16
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• pp.5-12
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• 2013

• KHousing
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• v.10 no.1
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• pp.12-15
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• 2015

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.653-659
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• 2018

The accurate prediction of construction cost is a key factor in a project's success. However, it is hard to predict the construction costs in the planning stages rapidly and precisely when drawings, specifications, construction cost calculation statements are incomplete, among other factors. Accurate construction-cost prediction in the planning stage of a project is also important for project feasibility studies and successful completion. Therefore, various techniques have been applied to accurately predict construction costs at an early stage when project information is limited. There are many factors that affect the construction cost prediction. This paper presents a construction-cost prediction method as multiple regression model with seven construction factors as independent variables. The method was used to predict the construction cost of a local housing union project, and the error rate was 4.87%. It is not possible to compare the cost of the project at the planning stage of the local housing union project, but it has high prediction accuracy compared to the unit price of an existing unit area. It is likely to be applied in construction-cost calculation work and to contribute to the establishment of the budget for the local housing union project.