• 주택과사람들
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• no.6 s.23
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• pp.63-64
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• 1992

한국주택협회는 ''92년도 전국의 건설경기 및 건자재 수급전망을 토대로 ''92. 2. 21 신도시건설기획관 주행로 경기도$\cdot$부천시$\cdot$토개공$\cdot$주공$\cdot$주택사업협회등 관련기관회의를 개최하여 분당, 일산등 수도권 5개 신도시에 대한 자체적 건자재 수급대책을 수립하고, 신도시건설이 계획된 공정대로 차질없이 추진될수 있도록 할 방침이다.

• 주택과사람들
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• s.12
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• pp.73-75
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• 1991

건설부는 건축물의 인허가와 관련된 부조리의 소지를 근원적으로 제거하고 건축분야의 서비스행정체계를 구축하기 위한 종합대책을 마련하기 위하여 관계전문가로 구성된 특별대책반(반장: 건설부 기획관리실장)을 구성하여 4월 3일에 1차회의를 마치고 분야별로 대책마련에 착수하였다.

• Korean Journal of Construction Engineering and Management
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• v.9 no.1
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• pp.126-133
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• 2008

Current changing to the customer-oriented market naturally causes suppliers to meet an age of competition on the quality. In order to plan housing meeting this quality competitiveness era, I set up the type classification system of quality differentiation for the unit of apartment housing by executing differentiation cases of unit quality and type analysis of the object. The system is consist of 3 classification systems by quality element, user convenience element and product element as follows: First element is to classify quality element on the basis of plane and interior elements, architectural elements and second one is user convenience element relating facility to classify environment-oriented, safety, energy saving and convenience. The other one is the product element to classify furniture, installing product and convenient product. I believe that this classification system will be useful to determine any classification elements of product for product positioning and product planning in the stage of marketing planning of apartment housing in the future.

• Proceedings of the CALSEC Conference
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• 2002.01a
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• pp.395-400
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• 2002

주택건설을 담당하는 공기업으로 법정부 차원의 전자상거래 활성화 시책에 부응하여 공사의 정보화전략계획과 건교부의 건설 CALS/EC계획 및 기획예산처의 G2B 연계하여 추진(중략)

• 주택과사람들
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• s.220
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• pp.24-24
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• 2008

공연 기획자이자 문화 컨설턴트인 유경숙의 지난 1년은 범인은 상상조차 할 수 없을 만큼 파란만장했다. 배낭 메고 떠난 그녀의 공연 세계 일주 여정이 그대로 담긴 저서 <카니발 로드&rt;가 기대되는 까닭이 바로 여기에 잇다.

• Korean Journal of Construction Engineering and Management
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• v.10 no.1
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• pp.102-113
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• 2009

When planning and promoting apartment house development project, it is very important to carry on profitability in planning stage through realistic evaluation and analysis about distributability. Especially, the analysis about project feasibility through forecasting the early distribute rate is crucial stage because it could evaluate overall expecting benefit and feasibility of the project. However, researches and studies related with forecasting profitability and distributabilty of construction development project are insufficient. Also there is a big gap of the standard for evaluating early distribute rate between government and individual corporations. So it is necessary to study about the evaluating early distribute rate. In this point, this study aims to present effective evaluating standard(criteria) which is for forecasting profitability and distribute rate through analyzing various factors and weight of apartment house development projects. This study compared and analyzed examples of the real initial rate of private apartment sale based on the government estimated standard. Among estimated index, omitted items and factors to be additionally considered are combined as 33 detail appraisal contents of 4 parts 9 items by allotting them based on the data about priority of all considered factors.

• Korean Journal of Construction Engineering and Management
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• v.12 no.6
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• pp.160-167
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• 2011

An Analysis on the Pre-Feasibility Evaluation Factors of Activation for Welfare Facilities for the Residents in Apartment Building. The adapted research method of selected case five apartment building in D new town and carried out questionnaire survey to residents and user for draw items of feasibility evaluation. Drew items of feasibility evaluation classify as Plan section, Design section, and Operation section and evaluate the weight of each section utilizing analytical hierarchy process (AHP). Depending on the purpose and methods. The results of this study are as follows: Such as Plan section, Composition of Program Facility, User Charge Survey, Arrangement of Program Room were analyzed highest. Such as Design section, Arrangement of Program Room, Circulation planning, Educational Equipment were analyzed highest. And such as Operation section, Operation costs, Operation Plan, Review of Program Facility were analyzed highest.

• Korean Journal of Construction Engineering and Management
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• v.14 no.1
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• pp.63-70
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• 2013

A judgment on the redevelopment projects' predicted profitability is an essential decision-making element for the success of the redevelopment projects. It is necessary to review the literature on profitability of redevelopment project and draw risk factors that could affect profitability through the risk analysis based on surveys. It is also necessary to judge profitability prediction toward the business value of the redevelopment project in the planning phase according to the risk analysis results which can affect the profitability prediction. In order to prevent the growing difficulties in executing the projects, a profitability prediction model is proposed using the method of management and disposal based on a proportional calculation that can estimate the share of expenses in order to judge profitability in the planning phase. With the improvement of profitability prediction models, it is possible to appropriately judge profitability in the planning phase in order to allow the prevention of suspension, reduction of project term, reduction of cost, and making of rational decisions.

• 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.

• Land and Housing Review
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• v.12 no.4
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• pp.93-101
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• 2021

As the number of small households (1 to 2 persons per household) in Korea gradually increases, so does the importance of housing supply policies for small households. In response to the increase in small households, the government has been continuously supplying urban housing for these households. Since housing for small households is a sales and rental business similar to apartments and general business facilities, it is important for the building owner to calculate the project's estimated construction duration during the planning stage. Review of literature found a model for estimating the duration of construction of large-scale buildings but not for small-scale buildings such as urban housing for small households. Therefore this study aimed to develop and verify a model for estimating construction duration for urban housing at the planning stage based on multiple regression analysis. Independent variables inputted into the estimation model were building site area, building gross floor area, number of below ground floors, number of above ground floors, number of buildings, and location. The modified coefficient of determination (R_a²) of the model was 0.547. The developed model resulted in a Root Mean Square Error (RMSE) of 171.26 days and a Mean Absolute Percentage Error (MAPE) of 26.53%. The developed estimation model is expected to provide reliable construction duration calculations for small-scale urban residential buildings during the planning stage of a project.