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Research On Layout Optimization Of Liuzhou Business Center Based On Land Use Change

Posted on:2012-06-28Degree:MasterType:Thesis
Country:ChinaCandidate:X D WangFull Text:PDF
GTID:2189330338983989Subject:Urban planning and design
Abstract/Summary:PDF Full Text Request
Business has gradually occupied an important position in the urban industrial structure during modern urban economic restructuring process. And the layout of commercial center is the decision function of the operational efficiency of urban commercial. Layout factors of the city commercial center are often demonstrated the close relationship between spatial information of land use change, such as expansion of land space, replacement of land features, thickening of land space. Therefore, how to optimize the layout of the city commercial center is the key point. Not only does it play commercial value, but also it can help optimize the use of land.For this purpose, application of land economics thesis, intensive land use theory, central place theory, system engineering theory, underground space development theory have been used, with GIS platform, the perspective of intensive use of land, supply demand balance, two-three dimensional, etc. Dynamic solutions for layout optimization of the commercial center based on land use change would be made. Both of land use and business center evolution in Liuzhou would be analyzed. Then mechanism between business center and land use change would be discussed, evaluation system of business center raised. Proposal for layout optimization of business center would be put forward, with future land use change, by qualitative and quantitative analysis methods. Efficiency of business center would be evaluated to make a choice. Layout of different type commercial centers also would be promoted for the transformation of Liuzhou city business. At the same time, urban land policy under SOD model would be discussed for the orderly development of land in turn.
Keywords/Search Tags:Business Center, Layout Optimization, Land Use Change, Dynamic Planning
PDF Full Text Request
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