• Title/Summary/Keyword: Urban Spatial Networks

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Analysis of Functional Autocorrelation and Development of Functional Econometric Model through Urban Interactions - Focusing on Economic Growth of Small and Medium Sized Cities - (도시 상호작용에 따른 기능적 자기상관분석 및 기능계량경제모형 개발 - 중소도시의 경제성장을 중심으로 -)

  • Kim, Dohyeong;Woo, Myungje
    • Journal of Korea Planning Association
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    • v.54 no.3
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    • pp.63-74
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    • 2019
  • Korean government has implemented policies to strengthen the competitiveness of small and medium sized cities. However, since it is often difficult to enhance the competitiveness through individual projects, many local governments in metropolitan areas are working together to pursue local growth. On the other hand, small and medium sized cities that are not included in metropolitan areas due to their spatial limitations have difficulties in implementing effective growth policies. Given this background, the purpose of this study is to identify the functional correlation based on urban interactions and develop functional econometric model for the economic growth of small and medium sized cities. This study uses spatial econometrics models and functional weight matrix to identify the effects of functional networks on small and medium sized cities. The results show the effect of functional networks on the growth of small and medium sized cities and provide policy implications for regional spatial planning that addresses effective management of small and medium sized cities.

Traffic Flow Prediction with Spatio-Temporal Information Fusion using Graph Neural Networks

  • Huijuan Ding;Giseop Noh
    • International journal of advanced smart convergence
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    • v.12 no.4
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    • pp.88-97
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    • 2023
  • Traffic flow prediction is of great significance in urban planning and traffic management. As the complexity of urban traffic increases, existing prediction methods still face challenges, especially for the fusion of spatiotemporal information and the capture of long-term dependencies. This study aims to use the fusion model of graph neural network to solve the spatio-temporal information fusion problem in traffic flow prediction. We propose a new deep learning model Spatio-Temporal Information Fusion using Graph Neural Networks (STFGNN). We use GCN module, TCN module and LSTM module alternately to carry out spatiotemporal information fusion. GCN and multi-core TCN capture the temporal and spatial dependencies of traffic flow respectively, and LSTM connects multiple fusion modules to carry out spatiotemporal information fusion. In the experimental evaluation of real traffic flow data, STFGNN showed better performance than other models.

Vibrant Traditional Markets in Small Residential Neighborhoods; - A Case Study of their Urban-Spatial Characteristics in Gwanak-gu District, Seoul - (활성화된 근린 소규모 전통시장의 도시·공간 특성 - 서울특별시 관악구 사례를 중심으로 -)

  • Park, Hana;Park, So-Hyun
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.33 no.12
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    • pp.73-83
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    • 2017
  • Due to the changes in the contemporary society, small-scale traditional markets have declined and lost their functions as the center of neighborhood commercial and cultural affairs. While most traditional markets are deteriorating, there exist rare cases of neighborhood small-scale traditional markets that continuously maintain their vitality and popularity. This paper examines urban spatial characteristics of those markets. As for the cases, this paper inventoried eighteen such markets in Gwanak-gu, Seoul. The research methods include literature reviews, on-site investigation of total 18 such markets, and participant observations. The findings of this paper are as follows: There are distinctive differences in the urban-spatial characteristics of physical environmental factors between the revitalized markets and declining markets. In terms of neighborhood and commercial environment, the franchised super-markets are not necessarily in competition with small-scale traditional markets. The former often has symbiotic relationship the latter, if the small scale traditional markets are strategically located in between residential areas and subway stations, providing active pedestrian networks. There are many outdoor display stands in the revitalized markets, while the declining markets rarely have them. The market improvement projects such as transforming the open space into arcade space, hardly have effects on revitalization of the small-scale traditional markets.

An Analysis of Urban Network in Seoul Metropolitan Area by Interaction Indices (상호작용 지수를 이용한 수도권 도시 네트워크 분석)

  • Yi, Bongjo;Yim, Seokhoi
    • Journal of the Korean association of regional geographers
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    • v.20 no.1
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    • pp.30-48
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    • 2014
  • Relying on the interaction indices - dominance index, relative strength index and entropy index, this paper analyzes the structural features of urban network in the Seoul metropolitan area with the flows of commuting, business, and freight. Analytical results show that the Seoul metropolitan urban system is vertical, size-dependent, one-way, and the highest city-dominant network rather than horizontal, size-neutral, two-way, complementary one. The network of freight flow is a little bit more symmetrical than the networks of commuting and business. However, the interaction with Seoul is still determinant in all aspects of hierarchical structure, relative strength, and symmetry of flow.

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A development of CO2 emission estimation model based on the spatial configuration of street networks, building capacity and building usages (도로부문 이산화탄소 배출량 추정 모델의 개발: 도로망, 건물규모, 건물용도의 공간배치를 중심으로)

  • Kim, Young-Ook;Kim, Kyoung-Yong;Park, Hoon-Tae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.6
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    • pp.3879-3887
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    • 2014
  • This paper presents a model to estimate the amount of $CO_2$ emitted by cars in cities. Based on the spatial configuration of street networks, building masses and usages, it first develops a deductive model to combine them in a way to account for $CO_2$ emission amount by cars. It then proceed to validate model behaviours through a series of simulations on some ideal urban settings and finally calibrate it following its real application to the five case study cities in Korea. In contrast to the conventional 'top-down' approaches, we expect our model to have high utilities, particularly in the field of urban planning and design, where we cannot but deal directly with the spatial configuration of urban components and microscopic human activities.

Capacity Expansion Modeling of Water-distribution Network using GIS, VE, and LCC (GIS와 VE, LCC 개념에 의한 동적 상수도관망 대안 결정)

  • Kim, Hyeng-Bok
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 1999.12a
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    • pp.21-25
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    • 1999
  • Planning support systems(PSS) add more advanced spatial analysis functions than Geographic information systems(GIS) and intertemporal functions to the functions of spatial decision support systems(SDSS). This paper reports the continuing development of a PSS providing a framework that facilitates urban planners and civil engineers in conducting coherent deliberations about planning, design and operation & maintenance(O&M) of water-distribution networks for urban growth management. The PSS using dynamic optimization model, modeling-to-generate-alternatives, value engineering(VE) and life-cycle cost(LCC) can generate network alternatives in consideration of initial cost and O&H cost. Users can define alternatives by the direct manipulation of networks or by the manipulation of parameters in the models. The water-distribution network analysis model evaluates the performance of the user-defined alternatives. The PSS can be extended to include the functions of generating sewer network alternatives, combining water-distribution and sewer networks, eventually the function of planning, design and O&H of housing sites. Capacity expansion by the dynamic water-distribution network optimization model using MINLP includes three advantages over capacity expansion using optimal control theory(Kim and Hopkins 1996): 1) finds expansion alternatives including future capacity expansion times, sizes, locations, and pipe types of a water-distribution network provided, 2) has the capabilities to do the capacity expansion of each link spatially and intertemporally, and 3) requires less interaction between models. The modeling using MINLP is limited in addressing the relationship between cost, price, and demand, which the optimal control approach can consider. Strictly speaking, the construction and O&M costs of water-distribution networks influence the price charged for the served water, which in turn influence the. This limitation can be justified in rather small area because price per unit water in the area must be same as that of neighboring area, i.e., the price is determined administratively. Planners and engineers can put emphasis on capacity expansion without consideration of the relationship between cost, price, and demand.

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A Study on GIS Data Development and Distributed Modeling for Hydrological Simulation of Urban Flood (도시홍수 수문모의를 위한 GIS 자료구축 및 분포형 모델링 기법 연구)

  • Kim, Seong-Joon;Park, Geun-Ae
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.204-208
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    • 2006
  • This study is to develop a distributed urban flood runoff model that simulates the road runoff and to test the applicability of the model by applying to Pyeongtaek city of $12.2km^2$. To generate the runoff along the runoff, agree burned DEM (Digital Elevation Model) with road networks was suggested and the proper spatial resolution of DEM was identified finer than 15 m. To test the model applicability, 32 points on the road networks were selected and the hydrographs of each point were generated. The test showed reasonable results that increase the road runoff from the high elevation roads to the low elevation roads and the road runoff considering rainwater drainage from the road also showed reasonable results.

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Examining the Residential Patterns of Urban Immigrants in Seoul Metropolitan Area

  • Kim, Hyejin;Lee, Jawon
    • International Journal of Advanced Culture Technology
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    • v.6 no.3
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    • pp.37-43
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    • 2018
  • This paper measures and maps multi-dimensional residential segregation of immigrants in Seoul metropolitan area at city/county/district level as well as town level, thereby adding to our understanding of the urban structure and its spatial distribution impacted by immigration. The perspective offered here focuses on the segregation spurred by transnational migrants and their urban settlement. By drawing population data for 79 city/county/district administrative units from the Korea Immigration Service, residential segregation of immigrants in Seoul metropolitan area is measured based on Massey & Denton's four segregation indices: evenness, exposure, concentration and clustering. The empirical findings suggest that Seoul metropolitan area is highly segregated and the areas showing hyper-segregation appear in Seoul city and Gyeonggi province. As immigrants are foreseen to continue to increase in the future, this research contributes both empirically and theoretically to preliminary research on spatial segregation of immigrants by showing how ethnic places are segregated spatially through ethnic networks that support the geographic concentration of minority groups.

Extraction of Road Networks from High Spatial Resolution Satellite Images by Wavelet Transform and Multiresolution Analysis (웨이블릿 변환과 다중해상도분석을 이용한 고해상도 위성영상에서의 도로망 추출)

  • Jung, In-Chul;Sohn, Ji-Yeon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.4 no.3
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    • pp.61-70
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    • 2001
  • This paper presents a new method to extract semi-automatically roads from high spatial resolution satellite imagery. This method is based both on wavelet transform and on multiresolution analysis combined in the "$\grave{a}$ trous" algorithm. As an urban road network consists on different classes of streets, multiresolution processing allows to extract the streets class by class. The method was applied to a KVR-1000 image on a part of Busan Metropolitan City. The method was carried out for the road extraction of three different widths and it succeeded in extracting good fitted strips. The accuracy analysis for three types of streets was also performed. The overall accuracy in 4 pixels of width is 80.5%. The result suggests that this method can be used to update road networks in the studied urban network. In summary, the multiresolution approach based on the wavelet transform, used in this study, is regarded as one of effective methods to extract urban road network from high spatial resolution satellite images.

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Urban Environment change detection through landscape indices derived from Landsat TM data

  • Iisaka, Joji
    • Proceedings of the KSRS Conference
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    • 2002.10a
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    • pp.696-701
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    • 2002
  • This paper describes some results of change detection in Tokyo metropolitan area, Japan , using the Landsat TM data, and methods to quantify the ground cover classes. The changes are analyzed using the measures of not only conventional spectral classes but also a set of landscape indices to describe spatial properties of ground cove types using fractal dimension of objects, entropy in the specific windows defining the neighbors of focusing locations. In order eliminate the seasonal radiometric effects on TM data, an automated class labeling method is also attempted. Urban areas are also delineated automatically by defining the boundaries of the urban area. These procedures for urban change detection were implemented by the unified image computing methods proposed by the author, they can be automated in coherent and systematic ways, and it is anticipated to automate the whole procedures. The results of this analysis suggest that Tokyo metropolitan area was extended to the suburban areas along the new transportation networks and the high density area of Tokyo were also very much extended during the period between 1985 and 1995.

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