• Title/Summary/Keyword: 도시공간 특성요인

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The Spatial Factor Analysis of Urban Heat Island Effect (도시열섬효과의 공간 요인 분석)

  • Jeong, Jong-Chul
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2008.10a
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    • pp.97-99
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    • 2008
  • 지구온난화의 문제가 다양한 분야에서 논의되고 있다. 특히 도시열성효과에 대한 문제는 도시기후변화의 측면에서 공간적인 특성을 반영하여 나타난다. 현장조사 자료와 위성자료에 의한 연구는 도시의 열 환경이 공간적으로 어떤 분포를 나타내는지 분석하고 평가하는데 중요한 요소로 연구가 이루어져왔다. 본 연구에서는 도시열성효과가 도시 내부공간의 열 환경에 대해 공간적으로 나타나는 요인을 평가하고 이의 상관성을 도시 공간분포의 범위에서 평가하였다. 연구지역인 전주시는 지난 20년 동안 도시환경의 공간 구조적 요인 보다는 도시 열 발생원에 의해 30% 이상의 영향을 받는 것으로 평가되었다. 이를 검증하기 위해 고해상도 위성자료를 활용하여 공간 요인 분석을 수행하였다.

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An Analysis of Design Elements and Satisfaction on the Usability of City Squares - Focused on Gwanghwamun Square and Geumbit Square - (도시광장 설계요소 및 공간이용 만족도 분석 - 광화문광장과 금빛공원광장을 중심으로 -)

  • Choi, Yun Eui;Chon, Jinhyung;Lee, Jung A
    • Journal of the Korean Institute of Landscape Architecture
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    • v.42 no.6
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    • pp.111-123
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    • 2014
  • The city square is an important public open space for people. Being used for various activities, such as community gatherings, open markets, concerts, political rallies, and other events, many types of city squares are represented in a city. Nevertheless, most city squares are planned uniformly, lacking consideration for visitor behavior and use satisfaction. The study investigated the design factors and subcomponents influencing user satisfaction with different types of city squares. This study focused on the general city square in Seoul, including the grand public place (i.e. Gwanghwamun Square) and the neighborhood park (i.e. Geumbit Square). The data were analyzed using factor analysis, linear regression and fuzzy theory. The results of the study are as follows: first, five design factors of satisfaction with city squares are identified (Amenity, Usability, Spatial components, Culture, and Comfortableness). Second, Amenity, Comfortableness, and spatial components significantly affect user satisfaction with Gwanghwamun in that order. On the other hand, in Geumbit Square, Comfortableness, Amenity, Usability and Spatial components affect user satisfaction in a significant way, in that order. Third, cleanliness, a subcomponent of amenity, was ranked highest using the fuzzy theory function for satisfaction with Gwanghwamun Square. Otherwise, the prevalence of plants was ranked the highest on the Geumbit Square survey. The study compared design factors influencing satisfaction in the public grand place and the neighborhood park. The results have implications for designing and planning city squares to the satisfaction of their visitors.

The Formation Factors and Distribution Analysis of High-Class Residential Areas in Seoul (서울시 고급 주택지역의 형성요인과 분포 분석)

  • Kim Min-Hoi;Kim Tae-Hyun;Hong Sun-Gwan;Kim Hong-Kyu
    • Journal of the Korean housing association
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    • v.16 no.6
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    • pp.1-7
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    • 2005
  • 도시화는 현대사회의 가장 큰 특징이며 도시가 성장하면서 과거의 기능이 변화하고 도시내부의 공간구조가 점차 기능적으로 분화하는 경향이 있다. 그 중 가장 주목할 만한 것 중의 하나는 주거지역의 입지변화와 공간적 확산과정에서 나타나는 주거지 분화현상이다. 도시생태학자 Hoyt은 주거지 이동패턴에 대하여 도시 내의 주거지분포 패턴을 결정짓는 핵심적인 요인으로 최고지대를 지불할 수 있는 부유층의 주거입지 선택에 따라 전체 도시의 계층별 주거분포가 영향을 받게 된다고 주장하였다. 서울은 소규모로 계획된 역사도시에서 인구 1000만의 대도시로 성장하여 오면서 많은 구조적 변화를 경험하여 현재의 공간구조를 이루게 되었다. 현재 전체 서울의 주택지는 동일한 것이 아니고 각종 주위환경에 따른 성격과 특성을 달리하는 요소로 구성되어 있다. 이 특성을 달리하는 주택지들이 모여서 각기 상이한 역할을 수행하고 서로 기능적 관계를 맺으면서 주택지를 형성하고 있다. 선형이론(Hoyt's Sector theory)에 따르면 고급주택지역의 도시 공간구조에 많은 영향을 미치고 있다고 주장하였다. 그럼에도 불구하고 서울의 고급주택지역의 분포와 그 입지 특성에 관한 연구는 미비한 실정이다. 본 연구의 목적은 서울시 고급주택지역의 분포를 형성하는 원인을 규명하는데 있다. 고급주택지의 지역적 분포를 파악하여 그 입지 성향과 특성을 알게 되면 도시의 토지이용계획, 특히 주거지계획에 도움이 될 수 있다.

Characteristics and Causal Factors of Urban Growth in Korea (우리나라 도시성장의 특성과 요인 1980 - 1994)

  • Park, Yeon-Soo;Yu, Wann
    • Journal of Korean Society for Geospatial Information Science
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    • v.5 no.1 s.9
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    • pp.81-92
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    • 1997
  • Korea is one of the countries most greatly affected by modern urbanization in its speed and its magnitude. Urbanization in Korea however has great differences compare to those in Europe, America and even developing countries. The main purpose of this study is to evaluate the specific causes of urbanization in Korea to interpret past trends accurately and to predict future trends properly. To accomplish the purpose cross section data of 806 cities during 1980-1994 has computed in terms of totals and regression analysis has been performed to measure the relative impact of each factor.

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A Literature Review on the Commuting Behaviors and Urban Spatial Characteristics (통행행태와 도시공간특성에 관한 이론적 고찰)

  • Seo, Jong Gook
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2015.11a
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    • pp.175-185
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    • 2015
  • 본 연구에서는 TOD는 대중교통수단의 분담율 제고가 목적인데 이를 위한 정책대안의 모색에 필요한 새로운 분석기법을 제시하였다. 교통수단의 결정요인은 개인 특성과 라이프스타일 그리고 도시공간특성인데 이 요인들은 상호의존적으로 복합적 결합작용은 한다. 또한 개인과 그룹 및 지역 특성은 서로 다른 차원에서 상호의존성을 갖는다. 전통적 회귀분석과는 달리 위계적 분석모형은 요인들 간의 상호의존성과 복합결합적 영향관계를 규명하는 장점이 있다. 이러한 분석 기법에 의한 결과는 보다 효율적인 TOD정책 대한의 모색에 많은 기여를 할 것으로 기대된다.

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Analysis of Characteristic and Disparate Image of Urban Space - Focused on Busan Metropolitan City - (도시공간의 특성 및 이질적 이미지 분석 - 부산광역시를 대상으로 -)

  • Hong, Ji Su;Kim, Jong Gu
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.37 no.6
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    • pp.1077-1085
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    • 2017
  • Urban space is a place that shows the behavior, experience and lifestyle of residents. Also by the combination of local attributes and assets, creating a space that reflects the unique image of the city. For the development of the city, it is important to actively reflect the identity of the space created by the difference of each space. In this study, we focused on the disparate of space and found the characteristics of urban space. And psychological factors on disparate images of the spatial analysis. As a result, 14 spatial image characteristics of Busan showed difference. In terms of dimensions, it could be classified as an natural, artificial, dynamic, static images. Also, the preference cluster of individuals showed a positive response in naturalness, openness, gentle slope and static space.

A Study on the Influence Factors of Land Value by Urban Spatial Constitution (역세권 공간구조특성이 지가에 미치는 영향요인분석)

  • Lew, Seung Hwan;Kang, Junmo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.32 no.1D
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    • pp.61-69
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    • 2012
  • The purpose of this study is to draw the development direction of subway adjacent area by distance through an analysis on influence factors of land value by urban spatial constitution. The method of this study is analyzing influence factors of land value by the distance of subway adjacent area by using regression analysis method with urban spatial constitution variables from advanced research and drew the difference and extent of land value influence factors by distance of subway adjacent area. The result of analyzed the influence factors of land value by distance to draw the purpose of this study, which is the direction of development by distance of subway adjacent area, the connected area has shown the development direction as high density development centrally on commercial and improvement of accessibility and decrepit status, the directly influence area shows as complexity with high density centrally on commercial and business and lastly, the in directly influence area has shown the development direction as complexity of residential and commercial, improvement of accessibility and decrepit status. This study has used land value as a dependent variable to verify the speculation of this study based on the contents, the results of the analyze and the critical points of precedent studies to draw the development direction of subway adjacent influence area by using autonomous variables from advanced research. Upon this, drew a conclusion of this study as analyze of influence factors of land value could be a reference material for development of subway adjacent area.

An Analysis on the Characteristics of Commercial Distribution in Seoul Using GIS (GIS를 이용한 서울시 상업업무기능의 분포특성 분석)

  • 이창수;김영식
    • Spatial Information Research
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    • v.4 no.1
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    • pp.55-74
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    • 1996
  • The purpose of this paper is to search the factors which influence the distribution of commercial function. Commercial function plays the most important role in determining urban spacial structure. The location of commercial function is influenced by topography, accessibility, population, and urban policy. Due to the lack of formal data these factors have not been studed to the full. But GIS makes it possible to conduct researches in analyzing these factors. The results are : (1) The index of employment density connects with topography, population, accessibility and urban policy. (2) The location of commercial function is influenced by these factors (3) GIS is a useful tool in analyzing urban spacial structure.

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A Study on Visitor Motivation and Satisfaction of Urban Open Space - In the Case of Waterfront Open Space in Seoul - (도시 오픈스페이스 방문동기 및 만족도 연구 - 서울시 하천변 오픈스페이스를 중심으로 -)

  • Zoh, Kyung-Jin;Kim, Yong-Gook;Kim, Young-Hyun
    • Journal of the Korean Institute of Landscape Architecture
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    • v.42 no.1
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    • pp.27-40
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    • 2014
  • The functions of urban open space, which embraces community revitalization, are diverse. It is the means of public healthcare, learning centers for children, hub of arts and cultural programs, as well as promoter of urban tourism. However, in-depth discourse and research on the topic of urban open spaces has been limited so far. Hence, this study aims to investigate the motivations and satisfaction of visitation based on four representative waterfront open space in Seoul; Cheongyecheon Waterfront, Seoul Forest Park, Seonyudo Park and Banpo Hangang Park. The methods of study are literature review, observation investigation, and questionnaire survey. The findings are analyzed through the Exploratory Factor Analysis, Reliability Analysis, ANOVA Analysis and Regression Analysis by SPSS 18.0. The results of the study are as follows. First, urban waterfront open spaces in Seoul has 5 factors of visitor motivation; community amenity, nature access, cultural and educational assets, aesthetic enjoyment, and lastly means of escape. Second, factors of recognizing urban waterfront open spaces as community amenity and nature access indicate meaningful differences in visitor's perception by spatial characteristics. Third, distances between the destination and the visitor's residence influence significantly their perceived motivation. Close-range visitors perceived nature access as a principal factor, whilst medium to long-range visitors perceived visitation for aesthetic purposes more importantly. Lastly, the will to escape was shown as the influential factor in visitor satisfaction. Visiting open spaces for the enjoyment of nature and aesthetic purposes were factors that also closely relate to visitor satisfaction. In addition, it was found that there are different visitor motivations that influence visitor satisfaction in accordance with the spatial characteristics of each open space. In summary, it can be said that urban waterfront open space is a hybrid space connected to various types of urban contents beyond daily experiences. It was found that several visitor motivations including community development, design aesthetics, education and culture, entertainment, enjoyment of natural landscape, and relaxation, affect the overall satisfaction of the visiting experience. It is anticipated that the results of the study will be used by the local government in setting up strategies for the creation and management of successful urban waterfront open space, and for those involved in planning and design act as a starting point for spatial programming and amenities arrangement in accordance to the city's tourism and urban marketing approach.

The Impact of Urban Characteristics on Carbon Emissions of Buildings in Seoul: Application of Spatial Regression Analysis (도시특성이 건축물의 탄소배출에 미치는 영향에 관한 연구: 서울시 424개 행정동에 대한 공간회귀분석의 적용)

  • Hang Hun Jo;Heung Soon Kim
    • Land and Housing Review
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    • v.14 no.3
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    • pp.77-92
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    • 2023
  • The aim of the study is to analyze urban characteristics that affect carbon emissions of buildings. The analysis was conducted at the level of 424 administrative districts in Seoul. The main variables used in the analysis were energy consumption and carbon emissions of buildings published in the Seoul Metropolitan Government's energy information platform 2021. It was found that carbon emissions per unit building were high in Jongno, Gangnam, Guro, and Mok-dong. A regression analysis using the spatial lag model (SLM) identifies that the variables that affect the carbon emissions of buildings were; commercial, educational, business and industrial facility variables as built environment factor; number of residents; traffic volume, number of bus routes and number of subway stations as transportation facilities factors; and environmental factors such as green area and river area.