Spatially non-stationary relationships between urban residential land price and impact factors in Wuhan city, China
文献类型:SCI/SSCI论文
作者 | Hu S. G.; Yang, S. F.; Li, W. D.; Zhang, C. R.; Xu, F. |
发表日期 | 2016 |
关键词 | Residential land price Impact factors Non-stationary Geographically weighted regression Wuhan China geographically weighted regression non-stationarity water-quality patterns values amenities proximity chicago space model |
英文摘要 | Land price plays an important role in guiding land resource allocation for urban planning and development, particularly in big cities of fast developing countries where infrastructures and populations change frequently. Therefore, detecting spatially implicit information in the spatial pattern of relationships between land price and related impact factors is critical. Geographically weighted regression (GWR) analysis was conducted in this study for the purpose in Wuhan, China, by using a 10-year panel data set of residential land price. Based on twelve factors in three aspects (land attributes, location factors and neighborhood attributes), an evaluation index system of resident land price was established. The spatial distributions of estimated coefficients and pseudo t-values of three major explanatory variables (floor area ratio, distance to nearest center business district (CBD) and distance to nearest lake), obtained from GWR analysis, indicated that their relationships of the impact factors with land price are spatially non-stationary. The positive impact of floor area ratio on land price is more significant in highly developed areas than in less developed areas. Conversely, the negative impact of distance to nearest CBD on land price is larger in highly developed areas than in less developed areas. Moreover, wealthier dwellers may be willing to pay a higher price for a good lake view (especially views of small lakes), but infrastructure barriers (near some large lakes) cause negative effect.. The outputs of this study, which provide detailed information on the relationships between land price and impact factors in local areas, are promising for urban planners to scientifically evaluate land price and make area-specific strategies. (C) 2016 Elsevier Ltd. All rights reserved. |
出处 | Applied Geography |
卷 | 68 |
页 | 48-56 |
语种 | 英语 |
ISSN号 | 0143-6228 |
DOI标识 | 10.1016/j.apgeog.2016.01.006 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/42987] |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Hu S. G.,Yang, S. F.,Li, W. D.,et al. Spatially non-stationary relationships between urban residential land price and impact factors in Wuhan city, China. 2016. |
入库方式: OAI收割
来源:地理科学与资源研究所
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