Open AccessSpatial Distribution of Influence Factors of Residential Land Price in Cangzhou City Based on GWR Model
Author(s) -
Hongjie Liu,
Yuan Meng,
Jing Ma
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/332/2/022032
Subject(s) - land price , distribution (mathematics) , spatial distribution , geography , land use , order (exchange) , spatial heterogeneity , hedonic pricing , residential area , agricultural economics , economic geography , economics , econometrics , ecology , civil engineering , mathematics , mathematical analysis , remote sensing , finance , engineering , biology
This paper mainly takes Cangzhou City as an example to study spatial distribution of influence factors of residential land price, in order to deeply understand the driving factors of the spatial heterogeneity of residential land price in Cangzhou City. Based on the GWR model, the analysis of the influence factors of residential land price shows that the urban center has a significant positive impact on land prices, that is, the closer to the city center, the higher the land price is. The main roads, schools, and parks have different positive impacts on residential land prices, and there are large spatial differences in the degree of influence of various factors. The canal has a negative impact on residential land prices, that is, the closer to the canal, the lower the land price, mainly due to the existence of villages in city on both sides of the canal, which has a certain inhibitory effect on land prices. The impact of hospitals on residential land prices is not regular in spatial distribution.