• Title/Summary/Keyword: Apartment Building Complex

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Average Score-to-Allotted Point Ratio Analysis of Each Assessment Item of Green Apartment Complex Certification System (친환경 공동주택 인증 심사항목별 득점비율 분석을 통한 개선 필요 항목 도출)

  • Song, Seung-Yeong;Lee, Hyun-Hwa;Lee, Hyun-Woo
    • Journal of the Korean Solar Energy Society
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    • v.28 no.4
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    • pp.1-9
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    • 2008
  • With an awareness of the fact that influence of building industry on the environment problems is great, many countries have been endeavoring to construct sustainable and environmentally-friendly buildings. In Korea, the GBCS (Green Building Certification System) has been in force since 2002. Total 6 types of buildings are dealt in the GBCS. Especially, it is expected that the number of apartment complexes, which are the most common type of residences in Korea, applying for GBCS has increased continuously. In this study, we aim to pick out the items requiring improvement for the green apartment complex. Existing 12 certified apartment complexes were selected. GBCS assessment results and actual conditions of design and construction were investigated and analyzed. Total 18 items requiring improvement were picked out in accordance with the average score-to-allotted point ratio. Relevant particulars expected to be helpful for the next design works were also presented.

A Study on Evaluation Method and Application of Purchase Consideration Items for Estimation of Apartment Price (아파트 분양가 산정을 위한 구매 고려 항목별 평가 방법 및 적용에 관한 연구)

  • Kim, Ki-Hyuk;Pyeon, Su-Jeong;Lee, Donghoon
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2018.05a
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    • pp.163-164
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    • 2018
  • Every construction company should consider the apartment price when building apartment houses because the sales price has a great impact on the rate of apartment sales. Here, the average apartment price and characteristics of an apartment complex are factors that determine the sales price. However, the existing apartment pricing method fails to properly reflect the weight of each factor. Therefore, the study investigates factors that impact the apartment price and importance of each factor. It examines the apartment pricing method taking into account of the weight.

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A Study on the Color of Apartment Building Outer Wall Effecting in Streetscape -Focused on Highrize Housing Complex in Gwangju- (고층집합주택 외벽 색채가 가로경관에 미치는 영향에 관한 연구 -광주광역시 고층정합주택단지를 중심으로-)

  • Park Sung-Jin;Ha Ju-A;Lee Cheong-Woong
    • Journal of the Korean housing association
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    • v.15 no.5
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    • pp.33-41
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    • 2004
  • This study examined the effect of the main color of apartment building as background color on the preference for residential streetscape in the relation with surrounding environment of streetscape with its focus on the color of apartment building outer wall. To research a visual evaluation structure, this study aimed to understand its characteristics through quantitative assay and to provide more scientific and specific data about improvement direction. The results suggested that the current brightness and chroma of main color of apartment building was high and low respectively which was advisable. On the other hand, in the color, when the components of the whole streetscape included buildings or soundproofing walls, a streetscape image needed to be improved though the color scheme of 4-distance color difference.

A Study on the Changes of the Apartment price in Accordance with Project process of Super high-rise mixed use buildings (초고층 주상복합 건물의 개발사업 단계에 따른 주변지역 아파트가격의 변화에 관한 연구)

  • Kim, Sang Hwan;Choy, Won Cheol;Kim, Ju Hyung;Kim, Jae Jun
    • KIEAE Journal
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    • v.10 no.5
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    • pp.159-164
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    • 2010
  • High-rising buildings are a sort of solution to recent cities. Till now real estate development was concentrated in new development on vacant lots, and it resulted urban sprawl. Generally large cities are confronted with the exodus of industry and population from city. High-rising buildings solve many problems associated with this problem. The purpose of this research is to identify the effect of super high-rise mixed use building project process on apartment price. For this study, the hypothesis is that price of apartments is influenced by project process of super high-rise mixed use building. The study concerned 4 variations of project process that is building permits stage, sale stage, construction starting stage and stage of moving into building. The target projects of buildings are selected by number of floor(over 40 floors) and construction time. And 48 apartment complex are selected around super high-rise mixed use building. This study uses hedonic price function to analysis effect of project process of super high-rise mixed use building. A price of apartments is defined as a dependent variable. Characteristics of residence, complex, district and super high-rise building are defined as independent variables. The results are as follows; first, there is no error in price model of this study. Second, it is found that apartment price was influenced negatively by building permit stage and sale stage of super high-rise mixed use building. But that was influenced positively by construction starting stage and stage of moving into building of that. Third, as the project process of super high-rise mixed use building was proceeded, price of apartments was increased.

Analysis on Landscape Characteristic of Entrance Spaces in the Apartment Complex - A case study of 'Award of Good Apartment to Living' in the Capital Region - (공동주택 아파트 진입부 경관특성 연구 - 수도권 '살기좋은 아파트 수상'단지를 중심으로 -)

  • Lee, Gyeong-Jin;Lee, Gi-Woo
    • KIEAE Journal
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    • v.8 no.6
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    • pp.47-55
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    • 2008
  • The purpose of this study is as follows. 1) An element to organize the landscape of an apartment entrance space and setting up, a characteristic of landscape through the actual condition analysis. 2) The characteristic of the type analysis and classified the shape of the entrance as the type. 3) The degree to like the landscape analysis through the making up question. The result of this research is as follows. The entrance of the apartment complex of 71 as of 92 and set an element to organize the landscape and the characteristic of landscape through the frequency analysis and divided an entrance landscape of apartment into 4 types through the cluster analysis. An entrance landscape of apartment types of the entrance is classified as follows. 1) Type I: A model wall-fence type, 2) Type II: The side constructing a building-fence type, 3) type III: The side constructing a building-retaining wall-mixing tree type, 4) type IV: The moulding constructing a building-a retaining wall type.

Flow Characteristics of a Water Supply System with Booster Pumps for an Apartment Complex (공동주택단지에 설치된 부스터펌프 급수설비계통의 유동 특성)

  • Oh, Yang-Gyun;Jeong, Jae-Bong;Park, Mi-Ra;Cha, Dong-Jin
    • Proceedings of the SAREK Conference
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    • 2008.11a
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    • pp.151-156
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    • 2008
  • Water flow characteristics of an apartment complex consisting of 12 buildings and 635 units in total have been investigated numerically. The complex incorporates two zone booster pump water supply system, and some units have pressure reducing valves in them. Input data to a commercial code Flowmaster7 include survey results on the water usage for the last three years, dimension of the water supply system and its operation condition, etc. Calculated static pressures at the inlet of all units are compared with their design and measured counterparts, and they agree quite well with each other. Then, the pressure distributions and volumetric flow rates at all 635 units are estimated. Flow balancing is also attempted by varying the ratio of angle valve of each unit to improve the non-uniformity of flows.

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A Deep Learning Framework for Prediction of Apartment Repair and Maintenance Costs (아파트 수선유지 비용 예측을 위한 딥러닝 프레임워크 제안)

  • Kim, Ji-Myong;Son, Seunghyun
    • Journal of the Korea Institute of Building Construction
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    • v.24 no.3
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    • pp.355-362
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    • 2024
  • The sustained upkeep of apartment buildings necessitates ongoing maintenance and timely repairs, particularly given their complex nature due to extensive areas, common facilities, and multiple residential and service structures. Additionally, the need for cost-effective maintenance is paramount for ensuring safety, preserving value, and maintaining economic efficiency. However, the multitude of external variables influencing apartment complex maintenance, coupled with the challenges in data collection, have resulted in limited research in this domain. To address this gap, the current study aims to develop a framework for predicting maintenance costs utilizing deep learning techniques, grounded in real-world apartment complex maintenance cost data. This study intends to provide a practical and valuable contribution to the field of apartment complex management, empowering stakeholders with enhanced predictive capabilities for optimizing maintenance strategies and resource allocation.

An Investigation on Determinants of Apartment Price in Ilsan Area (일산지역의 공동주택 평당매매 가격결정 특성에 관한 연구)

  • Jang, Han-Sub;Yoo, Seon-Jong
    • Journal of the Korean housing association
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    • v.18 no.6
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    • pp.35-44
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    • 2007
  • The purpose of this paper is to find out the factors affecting the apartment price given three sets of variables such as characteristics of apartment building, apartment site, and location. Data of 1,579 housing units in 224 apartment complex sites in Ilsan city were selected from the housing information of four public and private housing sources in 2006. The first set of variables for physical features include housing size (pyoung), preferring-floor, building orientation, heating system and structure of entrance. The second set of variables for building were number of housing units, built year and rank of construction company. The third set of variables for location were distance from number of school, the subway station, distance of department store and park. For the analysis, the hedonic price model, which was one of the methods to estimate social convenience, was used along with the SPSS statistical program and regression analysis. The results are as follows, Firstly, in the structural characteristic variables, it was analyzed that all of the variables except facing affected the apartment price. Secondly, In the site characteristic variables, unusually all of the variables were not affected the apartment price in Ilsan city. Finally, the locational characteristic variables number of school, the subway station, distance of department store and park affected the apartment price. In case of Ilsan city, educational facilities was likely to positively contribute to the price of apartment.

An empirical method to determine a reverberation time in outdoor spaces of apartment complexes (아파트 단지 잔향시간 특성 및 예측 경험식 제안)

  • Yang, Hong-Seok;Kim, Myung-Jun
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2014.10a
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    • pp.880-884
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    • 2014
  • RT (reverberation time) of outdoor spaces surrounded by multi-storey buildings depends on many designable factors such as the openness, volume and building layouts, etc. This study therefore aims to clarify the influential factors for RT in outdoor spaces surrounded by buildings with complicated topographical conditions. A series of measurements were carried out for 15 outdoor spaces in 6 apartment complexes with different building layouts. An Empirical method considering the openness, averaged ray length and building high is also suggested, to predict RT approximately in the outdoor spaces. The overall results suggest that RT in outdoor spaces of apartment complexes is significantly influenced by source-receiver distance and building layouts.

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A Study on the Simple Payback Period Analysis of Small Co-generation System based on the Existing Apartment and Building Data (기존지역 잠재량조사에 기반한 소형열병합발전시스템의 경제성 단순분석)

  • Kim, Yong-Ha;Woo, Sung-Min;Kim, Mi-Ye;Lee, Sung-Jun;Son, Seung-Ki
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.55 no.11
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    • pp.498-504
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    • 2006
  • This paper describes the simple payback period analysis of small co-generation system based on the existing apartment and building data. First, We investigate apartment and building data more than $2000[m^2]$ using Ministry of Construction & Transportation's computer system. And then we calculate the latent amount of small co-generation system considering gas company and CHP. Second, we classify the latent amount of small co-generation system into office, hospital, hotel, department store, complex building and apartment. Finally, we perform the simple payback period analysis for small co-generation system. The results show the simple payback period of small co-generation system is less then 10 years.