• 제목/요약/키워드: Urban building complex

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A Study on the planning approach through the Actual Research of Complex Buildings in the New Town of Sangju (상주시 신도심의 복합건축물 실태조사를 통한 계획방향에 관한 연구)

  • 이근택;정용호
    • Journal of the Korean housing association
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    • v.15 no.1
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    • pp.85-93
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    • 2004
  • This study does try to proceed on the assumption that complex buildings can vitalize urban life of contemporary society from contemporary complexity and cases of past failure. The scope of investigation on complex buildings in Sangju built in 1990s' and 2000s' on this thesis is that site size is 400 square meter, total area 1500 square meter, and the number of stories on the ground below 5 floor. Method of investigation on twenty one buildings which have been built on new C.B.D. between the Namwon avenue and the Joongang 1th street in Sangju is through field investigation, field photographs, recordings and drawings on these buildings. Investigative contents have been divided and analysized into physical and functional elements in urban and architectural dimension. On the basis of these results, the future planning approach of complex buildings in medium and small cities has been considered into planning principles of convenience of building use and efficiency of site size, physical plans reflected on the traffic and pedestrian movings and the face of buildings, pedestrian resting space-creation like plazas and central gardens, regional character reflected with urban context, and separation and union of approached movings interrelated among the components.

A Numerical Simulation of Heat Flow Field for Heat Island Effect Analysis to Air Pollutants Dispersion in Apartment Complex (아파트 단지내의 열섬효과가 대기오염물질 확산에 미치는 영향 해석을 위한 열유동장 수치모의)

  • Jang Eun-Suk
    • Journal of Environmental Science International
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    • v.14 no.6
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    • pp.577-582
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    • 2005
  • Enormous apartment complexes in urban areas, temporary inversion state and heat island effect occur due to the strong sunshine and weak wind speeds which hinders the dispersion of air pollutants that are emitted from neighboring areas of apartment complexes. In this study, analysis were conducted by using the Fluent code based on the CFD(Computation Fluid Dynamics), including building layout, material, building height from the ground surface, the heat, analysis of flow field in the apartment complex. It was estimated that the temporal radiation inversion phenomenon during the daytime, which was caused by the weak wind speed and higher temperatures in the upper level, contributed to the stagnation of the air pollutants in the lower layer of the apartment complex.

Planning Apartment Complexes to Enhance Thermal Environment (열환경 향상을 위한 아파트 주동배치계획)

  • Oh, Kyushik;Seo, Anseon;Jung, Seunghyun
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.12 no.2
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    • pp.83-94
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    • 2009
  • Environmental pollution becomes a serious problem in urban areas. Moreover, densely constructed strictures can be problematic to cities due to the rising temperature they cause as well as the increasing accumulation of air pollutants they generate by interrupting airflow. In order to improve residential amenity, it is necessary to improve the thermal environment by preserving wind corridors. To do so requires consideration to important aspects such as building arrangement, scale, vegetation, and land cover, which all have an effect on wind corridors. In this study, a typical arrangement-complex, which is the primary form of housing in Korea, was selected as a case ENVI-met. As a result of empirical analysis, the optimal apartment-complex arrangement that is most suitable for mitigating urban heat-islands phenomenon was determined, The outcome of this study can be utilized as a planning technique for apartment-complex construction in consideration to type of buildings, scale of buildings, and land cover.

Population Allocation at the Building level for Micro-level Urban Simulation: A Case of Jeonju, Korea

  • Kim, Dohyung;Cho, Dongin
    • Asian Journal of Innovation and Policy
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    • v.9 no.2
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    • pp.223-239
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    • 2020
  • It is important for urban planners and policy makers to understand complex, diverse urban demands and social structure, but this is not easy due to lack of data that represents the dynamics of residents at micro-geographical level. This paper explores how to create population data at at a micro-level by allocating population data to building. It attempted to allocate population data stored in a grid layer (100 meters by 100 meters) into a building footprint layer that represents the appearance of physical buildings. For the allocation, this paper describes a systemic approach that classifies grid cells into five prototypical patterns based on the composition of residential building types in a grid cell. This approach enhances allocation accuracy by accommodating heterogeneity of urban space rather than relying on the assumption of uniform spatial homogeneity of populations within an aerial unit. Unlike the methods that disaggregate population data to the parcel, this approach is more applicable to Asian cities where large multifamily residential parcels are common. However, it should be noted that this paper does not demonstrate the validity of the allocated population since there is a lack of the actual data available to be compared with the current estimated population. In the case of water and electricity, the data is already attached to an individual address, and hence, it can be considered to the purpose of the validation for the allocation. By doing so, it will be possible to identify innovative methods that create a population distribution dataset representing the comprehensive and dynamic nature of the population at the micro geographical level.

Analysis of Determinants on Residential Resettlement in Accordance with Urban Regeneration (도시재생에 따른 주거재정착 결정요인 분석)

  • Choi, Yeol;Yim, Ha Kyoung;Jang, Won Ho
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.3D
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    • pp.409-418
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    • 2009
  • The aim of this study is to analyze the evaluations and determinants on residential resettlements in accordance with urban regeneration by 7,396 samples from 19 housing redevelopment districts in Busan. The major finding on determinants on residential resettlements in accordance with urban regeneration are as follows; A binary logit model for determinants on residential resettlements in accordance with urban regeneration are composed of owner's characteristics, land and building characteristics, housing complex characteristics, and location characteristics. The significant variables in relation to owner's characteristics are owner's age, owner's place of residence, the possession period against property and investment intention. As a result of logit model for residential resettlements, it shows that the variables in relation to land and building characteristics are the land classification, the use of building, the size of land or building, the permission of building and the appraisal price on land and building. This result means that actual customer's investment connects to resettlement after redevelopment project. The other side, the housing complex variables consist of the brand of construction company, the ratio of large size housing and floor are ratio shows that improvable conditions for housing value are important factor to induce residence's resettlement. The location variables show that Dongbusan has higher probability, the reverse Jungbusan has lower probability in residential resettlement likewise residential preference.

The Effect of Atmospheric Flow Field According to the Urban Roughness Parameter and the Future Development Plan on Urban Area (도심 실제 거칠기 적용과 장래 도심 개발계획에 따른 국지 기상장 변화 수치 모의)

  • Choi, Hyun-Jung;Lee, Hwa-Woon;Kim, Min-Jung
    • Journal of Environmental Science International
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    • v.19 no.6
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    • pp.703-714
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    • 2010
  • In this study, we analyzed the impact of orographic and thermal forcing on the atmospheric flow field over the urban metropolitan areas on urban artificial buildings and future development plan. Several numerical experiments have been undertaken in order to clarify the impacts of the future development plan on urban area by analyzing practical urban ground conditions, we revealed that there were large differences in the meteorological differences in each case. The prognostic meteorological fields over complex areas of Seoul, Korea are generated by the PSU/NCAR mesoscale model(MM5). we carried out a comparative examination on the meteorological fields of topography and land-use that had building information and future development plan. A higher wind speed at daytimes tends to be forecasted when using new topography and land use data that have a high resolution with an appropriate limitation to the mixing height and the nocturnal boundary layer(NCB). During nighttime periods, since radiation cooling development is stronger after development plan, the decreased wind speed is often generated.

Development of Mobile 3D Urban Landscape Authoring and Rendering System

  • Lee Ki-Won;Kim Seung-Yub
    • Korean Journal of Remote Sensing
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    • v.22 no.3
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    • pp.221-228
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    • 2006
  • In this study, an integrated 3D modeling and rendering system dealing with 3D urban landscape features such as terrain, building, road and user-defined geometric ones was designed and implemented using $OPENGL\;{|}\;ES$ (Embedded System) API for mobile devices of PDA. In this system, the authoring functions are composed of several parts handling urban landscape features: vertex-based geometry modeling, editing and manipulating 3D landscape objects, generating geometrically complex type features with attributes for 3D objects, and texture mapping of complex types using image library. It is a kind of feature-based system, linked with 3D geo-based spatial feature attributes. As for the rendering process, some functions are provided: optimizing of integrated multiple 3D landscape objects, and rendering of texture-mapped 3D landscape objects. By the active-synchronized process among desktop system, OPENGL-based 3D visualization system, and mobile system, it is possible to transfer and disseminate 3D feature models through both systems. In this mobile 3D urban processing system, the main graphical user interface and core components is implemented under EVC 4.0 MFC and tested at PDA running on windows mobile and Pocket Pc. It is expected that the mobile 3D geo-spatial information systems supporting registration, modeling, and rendering functions can be effectively utilized for real time 3D urban planning and 3D mobile mapping on the site.

Modification of CFD results for Wind Environment in Urban area with Tree Canopy Model (Canopy Model 적용을 통한 도심지 풍환경 예측 CFD 시뮬레이션 결과의 보정)

  • Jung, Su-Hyeon;Hong, In-Pyo;Choi, Jong-Kyu;Song, Doo-Sam
    • Journal of the Korean Solar Energy Society
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    • v.32 no.spc3
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    • pp.185-193
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    • 2012
  • Recently rapid urbanization facilitates development of high-rise building complex including apartment and office building in urban area. Many problems related with high -rise building are reported. Especially, unpleasant strong winds in pedestrian area are frequently encountered around the high-rise building. CFD simulation methods are used to analyze the wind environment of pedestrian level in high-rise building block. However, the results show differences between CFD and measurement. This difference is attributed to improper use of CFD. Conventional CFD simulation for wind environment around high-rise building does not describe the effect of trees, shrubs and plants near ground which affect the wind environment of pedestrian level. Canopy model can be used to reproduce the aerodynamic effects of trees, shrubs and plants near ground. In this paper, CFD simulation methods coupled with the tree canopy model to predict wind environment of pedestrian level in high-rise residential building block were suggested and the validity was analyzed by comparison between measurement and CFD results.

Dynamic field monitoring data analysis of an ancient wooden building in seismic and operational environments

  • Lyu, Mengning;Zhu, Xinqun;Yang, Qingshan
    • Earthquakes and Structures
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    • v.11 no.6
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    • pp.1043-1060
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    • 2016
  • The engineering background of this article is an ancient wooden building with extremely high historic and cultural values in Tibet. A full understanding of the dynamic behaviour of this historic building under in-service environments is the basis to assess the condition of the structure, especially its responses to earthquake, environmental and operational loading. A dynamic monitoring system has been installed in the building for over one year and the large amounts of high quality data have been obtained. The paper aims at studying the dynamic behaviour of the wooden building in seismic and operational conditions using the field monitoring data. Specifically the effects of earthquake and crowd loading on the structure's dynamic response are investigated. The monitoring data are decomposed into principal components using the Singular Spectrum Analysis (SSA) technique. The relationship between the average acceleration amplitude and frequencies of the principle components and operational conditions has been discussed. One main contribution is to understand the health condition of complex ancient building based on large databases collected on the field.

Forthcoming Big Data in Smart Cities: Experiment for Machine Learning Based Happiness Estimation in Seoul City (빅데이터를 이용한 서울시 행복지수 분석 및 예측을 위한 실험 및 고찰)

  • Shin, Dongyoun;Song, Yu-Mi
    • Journal of KIBIM
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    • v.7 no.1
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    • pp.28-35
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    • 2017
  • Cities have complex system composed diverse activities. The activities in cities have complex relationship that creates diverse urban phenomena. Big Data is emerging technology in order to understand such complex network. This research aims to understand such relations by analysing the diverse city indexes. 28 indexes were collected in 25 of districts in Seoul city and analysed to find a weighted correlation. By defining the correlation values of certain years, it tries to predict the missed index values, "happiness" of each districts in other years. The result presents that the overall prediction accuracy 70.25%. However, for further discussion, the result is considered that this methods may not enough to use in practice, since the data has inconstant accuracy by different learning years.