Research on housing price differentiation and driving factors in central urban area of Lanzhou City
Received date: 2022-03-28
Revised date: 2022-08-26
Online published: 2023-02-01
Based on the price data from 678 residential communities in the central urban area of Lanzhou City, Gansu Province, China in 2021, a geographical field model was introduced to quantify the external factors affecting the housing price. Spatial autocorrelation analysis and multi-scale geographically weighted regression were used to study the spatial pattern of housing price differentiation, the action mechanism of driving factors, and bandwidth differences. This can provide a reference for promoting the fair development of the real estate market in a valley city. The results show that: (1) the average housing price in the central urban area of Lanzhou City is 13739 yuan·m−2, with a multi-center group distribution pattern of “one principal, three secondaries”, and the housing price decreases from the multi-center to the surrounding areas. Residential communities with similar prices are geographically close together, indicating local spatial characteristics of “small concentration and large dispersion”. (2) Housing price is the result of the combined action of various factors: locational variables such as central business district (CBD) have the highest impact on the housing price; structural variables such as building age and floor area ratio (FAR), and neighborhood variables such as middle schools and green rate have a greater impact on the housing price; urban geographical variables have a significant impact on the housing prices, and the closer the residential community is to the Yellow River, the higher the housing price. (3) There were significant differences in the bandwidth scales of different variables; small-scale variables such as CBD and hospitals have high spatial heterogeneity, whereas global variables such as FAR and the Yellow River have little spatial heterogeneity.
Meng CHAO , Jun ZHANG , Xiang LIU . Research on housing price differentiation and driving factors in central urban area of Lanzhou City[J]. Arid Land Geography, 2022 , 45(6) : 2004 -2012 . DOI: 10.12118/j.issn.1000-6060.2022.124
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