Research on spatial variation and evolution of residential land price in Nanjing based on GWR Model
Cao Tianban
Abstract
Cao Tianban
Abstract
This thesis,taking the downtown of Nanjing as an example,constructs a GWR model of the residential land price in urban areas based on spatial autocorrelation analysis and Monte Carlo Significance Test. After comparing the spatial variation of residential land prices in 2003 and 2009,this thesis probes into different factors in the spatial and temporal variations of residential land price,so as to reveal the relation between the space of residential land price and its influencing factors and to promote the scientific management of land price. The results indicate that: 1) a continuous increase of the influencing factors,as well as their reasonable distribution can narrow regional differences,and weaken their impacts on the land price; 2) due to the constant improvement of traffic facilities,the influencing factors,such as CBD,arterial roads,bus lines,witness variations in the degree and range of impacts on the land price; 3) as the city residents are paying attention to the improvement of living quality and taste over time,the impact of park and green space on land price exceeds that of any other public facilities.
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This thesis,taking the downtown of Nanjing as an example,constructs a GWR model of the residential land price in urban areas based on spatial autocorrelation analysis and Monte Carlo Significance Test. After comparing the spatial variation of residential land prices in 2003 and 2009,this thesis probes into different factors in the spatial and temporal variations of residential land price,so as to reveal the relation between the space of residential land price and its influencing factors and to promote the scientific management of land price. The results indicate that: 1) a continuous increase of the influencing factors,as well as their reasonable distribution can narrow regional differences,and weaken their impacts on the land price; 2) due to the constant improvement of traffic facilities,the influencing factors,such as CBD,arterial roads,bus lines,witness variations in the degree and range of impacts on the land price; 3) as the city residents are paying attention to the improvement of living quality and taste over time,the impact of park and green space on land price exceeds that of any other public facilities.
Key concepts: Downtown, Geography, Land use, Land price, Agricultural economics, Econometrics, Economics, Civil engineering