Research On The Spatial Structure Of Infrastructure For The Resource-oriented City Based On GIS

There are a lot of resource-oriented cities widely scattered in China, which makesignificant historic contributions and enjoy outstanding status in reality. With theconstant development and utilization of resources, issues, such as the scarcity of landresources, worsening of biological environment, haphazard urban spatial development,imbalance between urban and rural development, and depletion of resources, are risingin these resource-oriented cities, which pose severe challenge to their sustainabledevelopment, as well as great difficulty to the task of accelerating the city transition.The urban spatial transition is one of the important methods to realize city transition,which changes the spatial organization and structure of the city to achieve thereconstitution of urban space. With the constant improvement of the functions ofurban infrastructure, people are becoming more dependent on the urban infrastructure,and its spatial arrangement has become an important way to affect the urban spatialstructure. The study on the spatial structure of urban infrastructure from theperspective of urban spatial transition will provide basis for the arrangement of urbaninfrastructure and the reconstitution of urban space. The spatial structure of urbaninfrastructure is the distributive relation of the various factors of infrastructure inspace, and the basic spatial analysis module and the spatial analysis model of GIS arethe effective support of the spatial structure analysis of urban infrastructure.This article takes urban planning theory as guidance, utilizes GIS spatial analysisand spatial statistical method as the core means, comprehensively integrates the greysystem theory and trend analysis method, and proposes the multi-disciplinary spatialstructure analysis system for urban infrastructure. Based on the study results and themajor issues of spatial planning in the study region, the countermeasures for improvingthe spatial structure of urban infrastructure are proposed, which will provide decisionsupport for the spatial planning of urban infrastructure in the study region.The main contents and results of the study achieved in this article include thefollowing aspects: (1)Based on the transition demands of resources-oriented cities and the importantrole of urban infrastructure in urban transition, the idea of urban spatial planningleading the urban reconstitution to achieve spatial transition is proposed.(2)The correlation method of grey system is utilized to establish the greycorrelation model between urban infrastructure and urbanization degree, and discussthe correlation between urban infrastructure and urban transition. The study reachesthe conclusion that energy facility and transportation facility pose the greatest impacton the level of urbanization, and explains the function of urban infrastructure in theurban transition process.(3)The Exploratory Spatial Data Analysis (ESDA) is utilized to study the spatialcorrelation between the transportation facility and its relevant impact factor of spatialdistribution. The spatial distribution features of the relevant variants are analyzed fromthree modules, namely overall spatial auto-correlation, partial spatial auto-correlation,and conditional map. The study shows that: traffic network density, population density,gross industrial production, and the distribution of mineral resources are positivelycorrelated in space, while places with potential geological disaster are randomlydistributed.(4)The Geographically Weighted Regression (GWR) model is utilized to analyzethe spatial correlation between traffic network and population density, industrialproduction, geological disaster, and mineral resources, which reveals the mechanism ofpopulation density and gross industrial production on the spatial distribution of trafficnetwork density. The conclusions are: a. geological disasters and mineral resources arenot significant correlation with traffic network density; b. population density andtraffic network density are positively correlated in space, as every time log10(population density)(logarithm of population density with10as base) increases by oneunit, the traffic network density will increase by22.7%, and the influence of populationon traffic network density decreases from southwest to northeast; c. gross industrialproduction and traffic network density are positively correlated in space, as every timethe gross industrial production increases by10million, the traffic network density willincrease by0.38%, and the influence of gross industrial production on traffic networkdensity decreases from northeast to southwest.(5)From the perspective of optimizing the urban space, and based on theconclusions of the planning and decision making method system of urban infrastructure,the planning method and key technology of―one map‖service platform is proposed byusing TOD planning mode, oriented to the major function zoning and the establishment of the collaborative spatial planning of urban infrastructure.