• International Journal of High-Rise Buildings
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• v.10 no.1
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• pp.29-34
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• 2021

Vertical greenery has become an important technological means to improve the ecological environment condition in urban high-density areas, especially in central areas of Chinese cities. The cost of vertical greenery has significantly increased both in the decision-making process of architectural design and in the assessment of the sustainability potential of urban complexes. The estimation and evaluation of the cost of vertical greenery have become important obstacles to multi-party investment in the construction of vertical greenery. Considering the factors of the building typology and full life-cycle cost, this paper constructs an assessment model of vertical greenery in seven types in urban complex, and suggests an optimized approach to vertical greenery in an urban complex.

• Journal of KIBIM
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• v.13 no.4
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• pp.106-114
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• 2023

In this study, we developed a method to quantify urban social costs using mobile sensing data, providing a novel approach to urban planning. By collecting and analyzing extensive mobile data over time, we transformed travel patterns into measurable social costs. Our findings highlight the effectiveness of big data in urban planning, revealing key correlations between transportation modes and their associated social costs. This research not only advances the use of mobile data in urban planning but also suggests new directions for future studies to enhance data collection and analysis methods.

• Spatial Information Research
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• v.11 no.3
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• pp.301-325
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• 2003

Urban residential area, one of the main subjects of urban and architectural studies, can be analyzed accurately and rapidly with CIS. (Geographic Information System) And the applications of GIS in urban studies are too macro to be explained in architectural terms and the ones in architectural studies are not so much active rather be used as a secondary means. So the studies in urban-architectural scale are very useful in many ways. This study explores urban-architectural possibilities of analytic capabilities of GIS through the analysis of spatial characteristics of residential area in terms of land price according to parcel attributes. It is found, firstly, that the parcel attributes have relations with land price and its distribution patterns. Secondly, it is verified that the visualization capability of GIS can be a very useful method of analysis through user-interface effects in urban-architectural scaled analysis.

• Journal of Ecology and Environment
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• v.35 no.2
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• pp.141-147
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• 2012

The rapid urbanization in developing countries is accelerating both the depletion and fragmentation of urban green space, despite the known positive effects of green spaces on the environmental conditions in cities and the quality of life of residents. Consequently, there is a need for practical tools that can support the development of networks of urban green spaces. This article presents a study that used a GIS-based least cost path (LCP) analysis to identify the best alternative for developing an urban green space network in the coastal city of Jakarta, Indonesia, which was based on the evaluation of topography and land use characteristics. Pair-wise analysis was used to reduce the sensitivity in the LCP model. The results showed that the coastal wetlands in the northern part of Jakarta and the agricultural fields in the suburban areas of Jakarta play an important role in connecting the green space network. On the other hand, some green spaces in the central part of Jakarta could not be connected by the LCP model. The method used in this study can serve as a tool to support the identification of networks of potential urban green spaces. It can also provide useful information for sustainable urban landscape planning and management in urban ecosystems. However, the inclusion of socio-economic criteria would further improve the model.

• Journal of the Korean housing association
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• v.19 no.5
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• pp.37-46
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• 2008

The purpose of this study is to derive and adapt the Valuation Factor of urban regeneration scientifically and synthetically, which is the basis of developing a rational plan for urban revitalization. For this, we have selected 37 factors relating to urban regeneration as outlined in preceding studies and inquiry about importance of factors. we analysed he Valuation factors influencing he importance of urban revitalization through a questionnaire which was completed by inhabitants and expert groups in Gwangju Metropolitan City. From he results of he Factor analysis using SPSSWIN(VER.14.0), it was found that the factors which influence the importance of urban regeneration are Environment, Function, Resources and Policy Factors. Environment Factor comprises amenity, culture, beauty and convenience, The while the Function Factor comprises interchange, information, complexity and security. This classification has credibility because of the high factor loading through the Varimax Factor Analysis and is due to a high Cronbach's coefficient. There is a strong correlation between the classified factors through correlation analysis. Finally, through AMOS (Analysis of Moment Structure) 16.0 it was found that the upper classification is credible because main suitability index confirms recommending an admission standard.

• Journal of Information Processing Systems
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• v.17 no.3
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• pp.645-657
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• 2021

Along with the rapid development of the economy, the urban scale has extended rapidly, leading to the formation of different types of urban function districts (UFDs), such as central business, residential and industrial districts. Recognizing the spatial distributions of these districts is of great significance to manage the evolving role of urban planning and further help in developing reliable urban planning programs. In this paper, we propose an automatic UFD division method based on big data analysis of point of interest (POI) data. Considering that the distribution of POI data is unbalanced in a geographic space, a dichotomy-based data retrieval method was used to improve the efficiency of the data crawling process. Further, a POI spatial feature analysis method based on the mean shift algorithm is proposed, where data points with similar attributive characteristics are clustered to form the function districts. The proposed method was thoroughly tested in an actual urban case scenario and the results show its superior performance. Further, the suitability of fit to practical situations reaches 88.4%, demonstrating a reasonable UFD division result.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2005.05a
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• pp.529-534
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• 2005

This study performed an physical analysis on the characteristics of urban environmental sound divided into three parts depending on their features. Object sounds were classified into traffic sound, waster sound and spatial sound. Traffice sound was selected because it is dominant sound in urban environment, and water sound is selected because it generally supplies pleasantness in contrast to traffic sound, Finally spatial sound was considered because it represents sound in various places of city having lots of behaviors and types of sound due to them. Physcal analysis was carried out using sound quality indices based on Zwicker's loudness, $L_{Aeq}$(equivalent noise level), Ln(percentile noise level) and other acoutical attributes applied to previous study. Through the analysis, this study aims to compare the acoustical characteristics of urban environmental sound and to provide fundamental data for the evaluation of urban environmental sound.

• Journal of the Korean Institute of Rural Architecture
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• v.13 no.3
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• pp.99-106
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• 2011

The purpose of this paper is to examine their degree of housing satisfaction in Gyeongju, focused on indoor environment of urban traditional houses. Mostly built during time period from 1930's to 1980's in Seoak-dong, Bomun-dong, Namsan-dong, Sajeong-dong, and Hwangnam-dong, Gyeongju' Hanok reveals the evolutionary development to fit into the urban settlement. Urban traditional house has important meaning as a type of residence maintaining tradition of Korean residential culture, and it is the study's first goal to derive developable element by analyzing the characteristics of urban traditional house focusing on such a feature. Residents in 5 districts in Gyeongju were classified and the self-administered questionnaires were provided to them. 187 papers were used for final analysis. The data for general trend of satisfaction was seek for after its average and standard variation were calculated.

• Land and Housing Review
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• v.12 no.4
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• pp.81-92
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• 2021

This study investigates whether urban expansion can act as a cause of the decline of the original city center through the Space Syntax methodology. The urban spatial structure analysis was conducted targeting the downtown area of Jeju-eupseong. The time points for longitudinal analysis were set at five points between 1914 and 2021 including the Japanese colonial period when the cadastral map was drawn up in Jeju City, and the urban spatial structure was analyzed and compared for each time point. ASA (Angular Segment Analysis) was used as a technique for urban spatial structure analysis. This study shows that urban expansion is a cause of the decline of the original downtown. The original city center has moved away from the center as the urban structural change due to the urban expansion. The urban structure of the eastern part of Jeju City has undergone a major transformation between 1914 and 2021. As the old Jeju area where the original city center was located is geographically in contact with the sea, urban sprawl has been made toward Halla Mountain and further to the south of Jeju. Accordingly, the city center has transformed from a monocentric to a polycentric structure. Due to the dynamics of the urban sprawl, the old downtown of Jeju became one of the peripheral neighbourhoods in the Greater Metropolitan of Jeju.

• The Korean Journal of Community Living Science
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• v.17 no.1
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• pp.39-53
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• 2006

The purpose of this study was to examine the relation of elementary school children's stress and coping behavior in urban and rural areas. The subject included 286 children selected from 4 elementary schools in urban and rural areas. The instruments included the children's stress index and coping behavior questionnaire of the elementary school children. The statistics used from this data were t-test, one-way ANOVA(Duncan test), correlation analysis and multiple regression analysis. This study showed significant differences between urban and rural children's stress in school attainment domain, teacher-school domain, home environment domain and surroundings domain. And urban and rural children was different in active, passive/avoidant and aggressive coping behavior. The stress of urban's children was influenced significantly by the grade and school attainment variales, and the rural children's stress was influenced significantly by the gender variable. The coping behavior of urban's children was influenced by the gender, grade and school attainment variables, and also the rural children's coping behavior was influenced by the above variables. Correlation analysis indicated that children's stress and aggressive coping behavior were relative positive high correlation in urban areas, and children's stress and passive/avoidant coping behavior were positive high correlation in rural areas. It was also found that school attainment, aggressive coping behavior and passive/avoidant coping behavior were significant predictors of urban children's stress, and gender, passive/avoidant coping behavior and aggressive coping behavior were significant predictors of rural children's stress.