• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2017.11a
• /
• pp.205-206
• /
• 2017

The purpose of this paper is to examine a reasonable share of cost in the apartment remodeling projects. Therefore, the case model of remodeling apartment was made up and then the rate of return by method of floor area change rate, method of proportion, method of investment earnings rate and method of proportion reflected business contribution were estimated. Consequently, the model by the method of proportion reflected business contribution presented 20.6% of rate in all apartment units.

• International conference on construction engineering and project management
• /
• 2015.10a
• /
• pp.732-733
• /
• 2015

Currently, since the total energy amount has been increased continuously, the effort for energy efficiency of apartment building is necessary. Although the previous studies have been focused on the issue. Almost studies are about the simulation by applying the energy analysis tools and a lack of studies have been conducted the data analysis about real city gas amount of apartment building. Therefore, the objective of this study is to analyze the city gas consumption difference according to the exclusive dwelling in apartment building. To address this issue, the descriptive, correlation, analysis of variance (ANOVA) statistics are used in this study. As a result, in the case of annual total amount, the city gas is increased as the size of the exclusive dwelling area is increased. In the future, the findings of this study can be used as a basic material to develop the prediction model of city gas in apartment building.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.13 no.9
• /
• pp.4284-4293
• /
• 2012

At the early construction project stage, the most important task is to estimate planned construction costs analyzed with detailed information. Therefore, in this study, Apartment Housing Projects at the Early Stage of Civil Construction Cost of the reasonable and accurate predictions of the Regression analysis to 170 of actual Construction Cost, and dependent variable regression to Civil Construction Cost, location based national land area based on a combination of private land, union land, public land to the use of predictive models by various analyses of the ease and accuracy. As a result, Civil Construction Cost of Apartment Housing Projects by the regression formula for the error rate estimates in national land predictive model 15.59%, private land predictive model 17.53%, union land predictive model 21.86%, public land predictive model 13.08%.

• Korean Journal of Construction Engineering and Management
• /
• v.5 no.4 s.20
• /
• pp.87-96
• /
• 2004

The construction duration in apartment construction is an important factor which affects project cost. Henceforth, the time shortening is essential to retrench project cost and project risk when there adopt Five-Day Workweek and introduce apartment sales after completion of construction. Therefore, the purpose of this study is to examine closely the affecting factors on the duration of framework which forms about $40\sim50\$ percent of total time in apartment construction by analyzing the schedule mechanism of typical floor and to show the reasonable time shortening methods by case study. The shown schedule mechanism and basic schedule table can utilize as a guideline in case of scheduling of framework in the existing construction method. Also, the shown time shortening methods by three case studies will guide the direction and process of time shortening while there need time shortening in many-sided projects.

• Korean Journal of Construction Engineering and Management
• /
• v.11 no.1
• /
• pp.29-37
• /
• 2010

In recent years, apartment finishing work items have increasingly become more upscale and diverse, and the kinds have increased in exponential numbers. A huge amount of information about finishing work items is produced and changed in the stages of planning finishing work item design and selecting alternatives in the early days of an apartment project. However, there are many problems raised by the poor information management of finishing work items. Thus this study suggested a cost-based information management system to manage information about finishing work items generated in the initial stage of an apartment project. In order to build the suggested system, the investigator designed an information management system based on the concepts and organization of system. And after setting a scenario of selecting finishing work items by conditions including the initial information values of finishing work items, information management for each alternative, and cost fix or free condition, I implemented and applied a prototype of an information management system for finishing work items among the participants including the project manager, interior designer, and builder.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.22 no.1
• /
• pp.385-392
• /
• 2021

In general, earth retaining work in construction works enables the construction of structures, prevents the displacement of the surrounding ground to the maximum extent, and plays an important role in ensuring the safety of the surrounding structures and field workers. The earth retaining work and the construction method differ according to the various ground characteristics, surrounding topographical characteristics, repair environment, and design conditions. In particular, in the case of Seoul city, the environments and ground conditions differ according to the area. This study analyzed the earth retaining work cost mainly for the apartment construction project in Seoul and calculated the approximate earth retaining work cost at the project planning stage. A model was developed to predict the cost of earth retaining work that matches the characteristics of Seoul City and predict the construction cost for earth retaining work. This paper presents the predicted earth retaining work cost using a multiple regression model that applies 10 project outlines as independent variables. The error rate of the prediction result of the earth retaining work cost of the apartment construction project in Seoul using multiple regression models was 10.75%.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 1996.04a
• /
• pp.709-712
• /
• 1996

Generating a project network of a specific construction project is very time consuming and difficult task in the field. To effectiviely automate and support the planning process, we design a case-based project planning expert system inspired by the fact a human expert project planner uses previous cases for planning a new project. A construction project case consist of its specific characteristics and the corresponding project network (i.e. project plan). Using frame based representation. we represent the project features affecting the progress network and the entities composing the project plan such as the buildings, construction methods, WBS (work breakdown structure), activities, and resources. The project planning process runs through most similar case retrieval, case adaptation, and user requirement satisfaction. We represent the construction domain knowledge for each procedure using constraints and rules. We develop the methodology for constraint-based case adaption. Case adaptation process mainly consist of activity generation/deletion and predecence constraint satisfaction, for which we develop the dynamic constraint generation method and connect user-level requirement representation the system-level network modification knowledge. The methodology is being applied to the prototype for apartment construction project planning.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2021.05a
• /
• pp.151-152
• /
• 2021

The sale price of apartment buildings is a key factor in the success or failure of apartment projects, and the factors that affect the sale price of apartments vary widely, including location, environmental factors, and economic conditions. Existing methods of predicting the sale price do not reflect the nonlinear characteristics of apartment prices, which are determined by the complex impact factors of reality, because statistical analysis is conducted under the assumption of a linear model. To improve these problems, a new analysis technique is needed to predict apartment sales prices by complex nonlinear influencing factors. Using machine learning techniques that have recently attracted attention in the field of engineering, it is possible to predict the sale price reflecting the complexity of various factors. Therefore, this study aims to conduct a basic study for the development of a machine learning-based prediction model for apartment sale prices.

• Proceeding of Spring/Autumn Annual Conference of KHA
• /
• 2006.11a
• /
• pp.109-114
• /
• 2006

Since 1970, concentrated development in Gang-nam caused serious differences with Gang-buk, such as housing environment, education, culture, industry, economy, and consumption behavior as well as Urban Infrastructure. In this result, the government has executed New Town project to solve these matters, but the residents' opinion wasn't reflected. The purpose of this study is to research New Town project district residents' consciousness and prefered image for housing and this research will be applied to basic study for housing environment improvement policy in future. The results of this study are summerized as follows : First, living satisfaction is revealed almost low level, and the most demands for improvement are to solve lacks of park and green yard. Second, image of Gang-nam, which of housing environment is better than Gang-buk, is expressed as the words, 'Complicated', 'Complex', 'Polished', 'Convenient', 'Rich'. Third, prefered types of housing are high-rise Residental Complex, Apartment mixed with detached housing, and tower-type apartment. And These are connected with there values

• Journal of the Korea Institute of Building Construction
• /
• v.11 no.1
• /
• pp.9-17
• /
• 2011

Project delay is one of the most crucial impact factors in the construction process from a schedule and cost management perspective. This study focused on analyzing the causes of concrete frame work delay in the apartment construction project. According to the analysis of project cost composition, the direct cost of concrete works was highest in most samples. Actual delays of concrete works were analyzed for the six different construction components. Causes of delay were grouped into two categories; preconstruction and construction phases and these two groups were further divided into sub-groups. Analysis results revealed that the most significant delay was occurred in the 1st. floor concrete skeleton work. For each delay factor, implications of delay as well as suggestion(s) for reducing the possibility of schedule delay are provided.