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A Model Research Based On The Analysis Of SNA Of The Rural And Urban Spatial System In Kunshan County

Posted on:2017-05-17Degree:MasterType:Thesis
Country:ChinaCandidate:W W WangFull Text:PDF
GTID:2322330518990397Subject:Cartography and Geographic Information System
Abstract/Summary:PDF Full Text Request
Rural and urban space is a basic living space of rural and urban residents.It is also an organized network form of human life area.Under the background of the integration of urban and rural construction,the development of Rural and urban space is equal to the rational allocation of resources of the Villages.It is a problem how to plan the arrangement of rural and town space so that the population,resources,information and technology of the villages can be integrated with each other.As a result,the whole municipal area could grow up to be a organized network to support the continuous developing of the rural and urban spatial system.Thus,the study of Optimization of web space of rural and urban spatial system has great importance to achieve the integration of urban and rural.This research explores the spatial correlation,the critical factors affecting the spatial pattern adjustment among the rural and urban spatial system by using a case study of Kunshan County in Jiangsu Province.There are some amends of the gravity model and Space Field Energy model to explore the relationships between the nodes of Rural and urban spatial system.Finally,proposing a complete model of rural and urban spatial system by connecting effective gravitational nodes which are classified by their Output degree.The main research contents are follows:(1)The amends of the gravity model under the perspectives of villages.The amends of the gravity model by change the scale of quality,distance,and other factors,So that the model can be applied to the construction of the web of rural and urban spatial system(2)Study on the rural and urban spatial system based on the Analysis of SNA.Make a research on the optimization of web of rural and urban spatial system by use of the Two-dimensional matrix of gravitational relationship.(3)Construct the model of rural and urban spatial system by building a system of network space which is constituted by the rural Nodes.Verifying the accuracy and scientific of the model by testing the dates of towns with the help of Cohesive Subgroup network.(4)Having the outcomes of the Optimize of Rural and urban spatial system.Make adjustments of layout about the rural settlements spatial relationships under the basement of the model.Make classification of the nodes by judging the quality and Connection status of the network.Demolish the weak nodes of the network to achieve a better result.The related research conclusions include:(1)Found Index Systems of the qualities of the Residential points of the rural and town.Calculate the Gravity values among towns and villages by taking the qualities and Travel time of the points.Estimate the tip town of the villages by using the model of field energy model.Finally we can get the whole relationships between towns and villages.(2)From the analysis of SNA to start,we can get the density,Centrality and Cohesive Subgroup of the network of the rural and urban spatial system.Set up different thresholds as the reason of Operable links for graded points;Take the Cohesive Subgroup of towns as a reference to check the accuracy and scientific of the network of the Rural and urban spatial system.(3)The model of the network of the Rural and urban spatial system reveals the mutual influence relations among the points of towns and villages.(4)According to the model of rural and urban spatial system,the residential areas of Kunshan County are divided into 5 categories:key development type,center type,policy protection type,basic type and demolition type.The paper proposes the optimization scheme of the space pattern of different types for rural residents,and provides scientific reference for the development of the rural and urban spatial system.
Keywords/Search Tags:Gravity model, Rural and urban spatial system, SNA, Optimization of web space
PDF Full Text Request
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