• Title/Summary/Keyword: 공간적인

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Social Geography of Poverty and Social Welfare Services (빈곤계층과 사회복지서비스의 공간적 연계성)

  • Bae, Mi-Ae
    • Journal of the Korean Geographical Society
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    • v.42 no.2 s.119
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    • pp.177-195
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    • 2007
  • The central aim of this paper is to identify the distributional pattern of poverty and to investigate the spatial relationship between poverty and welfare service providers in Busan, Korea. It is intended to explain how the relationship of service-dependency between impoverished people and social welfare services leads to uneven social geography. Welfare services controlled by public or private agencies may support the impoverished people in different ways, generating social outcomes. By exploiting the spatial variations in the incidence of poverty and the provisions of social welfare services, this paper is to understand the dynamics of the geography of poverty from a local scale so that it can help us understand how various governmental and nongovernmental area-based service providers are spatially uneven when they are compared to the distribution of service dependency group such as impoverished people. From this research, it is finally argued that the implications of locational interdependence between such needed groups and social welfare services for their support demand a paradigm for urban social geography that centers on the changing welfare provision structure and the linkages between population and service-provision.

Analysis of Locational Change of the Community Service Centers and Optimal Location Modeling after Dong Merger and Abolition: Spatial Efficiency and Equity Approach (동통폐합에 따른 동주민센터의 입지 변화 분석과 최적 입지 모델링 -공간적 효율성 및 형평성 접근-)

  • Lee, Gun-Hak
    • Journal of the Korean Geographical Society
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    • v.45 no.4
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    • pp.521-539
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    • 2010
  • Recently many local governments have carried out dong merger and abolition process to cope with rapidly changing administrative demand and environment. This administrative effort impacts substantially the locational characteristics of the existing dong offices which directly involve in the quality of local community life. In this paper, we attempt to analyze the location pattern of current dong community service centers (formerly, 'dong office') and suggest the optimal locations maximizing spatial accessibility. As an application, we examine the location pattern of the existing dong community service centers in Mapo-gu, Seoul. Moreover, we compare current spatial configurations with the optimally selected locations such as, a Median maximizing spatial efficiency, a Center maximizing spatial equity, and a Centdian exploring compromising solutions regarding the tradeoff between efficiency and equity. The analytical results present that each of dong community service centers was systematically evaluated in terms of spatial efficiency and equity and in general the community service center locations are not spatially optimized with respect to efficiency and equity, compared with the optimal locations.

A Study on the Result of Application of Designation Criteria for Urban Regeneration Activation Zone by the Spatial Range (공간적 범위의 차이에 의한 도시재생 활성화지역 지정기준 적용 결과에 관한 연구)

  • Lee, Jong Hwi;Lee, Tae Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.10
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    • pp.567-573
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    • 2020
  • This study was done to develop indicators for cities that can be used in the long term and in a sustainable manner. Activation indicators were developed to improve the resilience in the downtown area of Seo-gu, Incheon. Preliminary indicators were derived from prior studies on similar indicators of resilience for urban regeneration, and an expert opinion survey was conducted to analyze the suitability and importance of the indicators. Activation indicators were established for improving urban resilience in six areas: population stability, social inclusion, industrial diversity, local productivity, environmental sustainability, and social-based convenience. From 60 preliminary indicators, 42 indicators were selected through the expert opinion surveys for securing an economically active population, establishing a living infrastructure, improving the settlement environment, and upgrading industry to reflect the characteristics of the West, including industrial complexes. It was found that diversification is necessary. Further study is still necessary to improve the objectivity of the indicators and calculate a resilience index. The significance of this study is that it looks at quantitative indicators, complements other studies on regional decline diagnosis, and presents realistic alternatives suitable for domestic situations based on the concept of resilience.

Analyzing Spatial Correlation between Location-Based Social Media Data and Real Estates Price Index through Rasterization (격자기반 분석을 통한 위치기반 소셜 미디어 데이터와 부동산 가격지수 간의 공간적 상관성 분석 연구)

  • Park, Woo Jin;Eo, Seung Won;Yu, Ki Yun
    • Journal of Korean Society for Geospatial Information Science
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    • v.23 no.1
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    • pp.23-29
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    • 2015
  • In this study, the spatial relevance between the regional housing price data and the spatial distribution of the location-based social media data is explored. The spatial analysis with rasterization was applied to this study, because the both data have a different form to analyze. The geo-tagged Twitter data had been collected for a month and the regional housing price index about sales and lease were used. The spatial range of both data includes Seoul and the some parts of the metropolitan area. 2,000m grid was constructed to consider the different spatial measure between two data, and they were combined into the constructed grids. The Hotspot Analysis was operated using the combined dataset to see the comparison of spatial distribution, and the bivariate spatial correlation coefficients between two data were measured for the quantitative analysis. The result of this study shows that Seocho-gu area is detected as a common hotspot of tweet and housing sales price index data. though the spatial relevance is not detected between tweet and housing lease price index data.

A Study on the Convergence of Spatial Equity of Medical Welfare Facilities for Older Persons and Services (노인의료복지시설과 서비스의 공간적 형평성 융합 연구)

  • Lee, Seong-Jin;Youn, Ki-Hyok
    • Journal of Internet of Things and Convergence
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    • v.6 no.2
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    • pp.65-72
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    • 2020
  • The study aims to measure and analysis the spatial equity of Medical welfare facilities for older persons and services, and, based on this, to seek the plan to secure the fairness. To this end, the research was carried out by converging the studies of geography and regional development for the equity of social welfare studies and space arrangement on types and functions of Medical welfare facilities for older persons. The main results of the study showed that, first, in case of the spatial arrangement(desire-to-service), Medical welfare facilities for older persons are located in all areas of cities(Si) and counties(Gun) but mostly existing in cities. Second, in case of the equity of regional distribution of Medical welfare facilities for older persons, it can say the equity in Gun is higher than Si, comparing the regions of Si and Gun. Third, in case of spatial equity of sanatorium for older persons, the spatial equity of care facilities for older persons showed statistical difference depending on the time required to reach the facility, but no difference on distance. This study made various suggestions based on the results of the above research, and suggested the necessity of convergence studies grafting technologies such as AI and the Internet of Things.

Time-Space Analysis of Road Traffic Flows in Seoul (서울시 도로교통흐름에 대한 시.공간적 분석)

  • Lee, Keum-Sook;Min, Hee-Hwa;Park, So-Hyen
    • Journal of the Economic Geographical Society of Korea
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    • v.12 no.4
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    • pp.521-539
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    • 2009
  • This study investigates the time-space characteristics of the road traffic flows in Seoul and the relationship with land use patterns. For the purpose, we analyze the road traffic data collected at 118 observation sites over Seoul City area since 1993. We examine the time-trend of the annual average traffic flows per day during the last fourteen years. Three different trends are revealed: rapid increase during the time period between 1993 and 1997, maintenance same level after sharp decrease between year 1997 and 1998, and gradual decrease after sharp decrease between year 2003 and 2004. The spatial distribution patterns of road traffic flows have also been changed significantly during the period. The traffic flows in the urban center have been declined gradually, while the traffic flows in the boundary area and southern CBDs have increased dramatically. In order to examine the relationship with the changes in the land-use patterns and road traffic flows, we analyze the changes in the spatial distribution patterns of population and industries. We developed three multiple linear regression models to test the relationships between the changes in the land-use variables and road traffic flows.

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A Study on Scale Effects of the MAUP According to the Degree of Spatial Autocorrelation - Focused on LBSNS Data - (공간적 자기상관성의 정도에 따른 MAUP에서의 스케일 효과 연구 - LBSNS 데이터를 중심으로 -)

  • Lee, Young Min;Kwon, Pil;Yu, Ki Yun;Huh, Yong
    • Journal of Korean Society for Geospatial Information Science
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    • v.24 no.1
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    • pp.25-33
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    • 2016
  • In order to visualize point based Location-Based Social Network Services(LBSNS) data on multi-scaled tile map effectively, it is necessary to apply tile-based clustering method. Then determinating reasonable numbers and size of tiles is required. However, there is no such criteria and the numbers and size of tiles are modified based on data type and the purpose of analysis. In other words, researchers' subjectivity is always involved in this type of study. This is when Modifiable Areal Unit Problem(MAUP) occurs, that affects the results of analysis. Among LBSNS, geotagged Twitter data were chosen to find the influence of MAUP in scale effects perspective. For this purpose, the degree of spatial autocorrelation using spatial error model was altered, and change of distributions was analyzed using Morna's I. As a result, positive spatial autocorrelation showed in the original data and the spatial autocorrelation was decreased as the value of spatial autoregressive coefficient was increasing. Therefore, the intensity of the spatial autocorrelation of Twitter data was adjusted to five levels, and for each level, nine different size of grid was created. For each level and different grid sizes, Moran's I was calculated. It was found that the spatial autocorrelation was increased when the aggregation level was being increased and decreased in a certainpoint. Another tendency was found that the scale effect of MAUP was decreased when the spatial autocorrelation was high.

Relationship between Spatial Inclusivity and Social Participation According to Degree of Disability (장애 정도에 따른 공간적 포용성과 사회참여의 관계)

  • Kim, Si Hwa;Park, In Kwon
    • Journal of the Korean Regional Science Association
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    • v.39 no.3
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    • pp.65-83
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    • 2023
  • The purpose of this study is to conceptually define "spatial inclusivity" and empirically examine the impact of disability severity and spatial inclusivity on social participation among individuals experiencing physical discomfort. The social and spatial environment of the residential area is crucial for individuals with disabilities who face limited activity range and complex barriers due to physical constraints. In this study, spatial inclusivity from the perspective of people with disabilities is defined as establishment of equal relationships with non-disabled individuals within the local community, as well as the availability of basic facilities and services in a safe urban space that allows for access and utilization. This concept consists of three dimensions: individual networks, social environment, and physical environment. The physical environment encompasses safety levels, natural environment, living environment, public transportation conditions, medical services in residential areas. We used the 2019 Community Health Survey to examine the relationship between disability severity, spatial inclusivity, and social participation using a two level regression model. The findings are as follows: Firstly, personal relationships at the individual level and the physical environment at the local level have a positive impact on social participation. Secondly, when identifying dividing the physical environment into five sub-factors, no significant influence of individual factors is found. Thirdly, trustworthy and friendly social environment at the local level has a negative impact on social participation. These results provide empirical evidence that spatial inclusivity has an effect on the social participation of individuals with disabilities and suggest implications for urban planning to create and enhance conditions for the social participation of individuals with disabilities.