Impact of Accessibility on Housing Prices in Dalian City of China Based on a Geographically Weighted Regression Model

doi:10.1007/s11769-018-0954-6

	Impact of Accessibility on Housing Prices in Dalian City of China Based on a Geographically Weighted Regression Model
	Yang Jun 1,2; Bao Yajun 1; Zhang Yuqing 1; Li Xueming 1; Ge Quansheng 2
刊名	CHINESE GEOGRAPHICAL SCIENCE
	2018-06-01
卷号	28 期号:3 页码:505-515
关键词	geographically weighted regression model accessibility house price Dalian City
ISSN号	1002-0063
DOI	10.1007/s11769-018-0954-6
通讯作者	Yang Jun(yangjun@lnnu.edu.cn)
英文摘要	This paper studies the relationship between accessibility and housing prices in Dalian by using an improved geographically weighted regression model and house prices, traffic, remote sensing images, etc. Multi-source data improves the accuracy of the spatial differentiation that reflects the impact of traffic accessibility on house prices. The results are as follows: first, the average house price is 12 436 yuan (RMB)/m(2), and reveals a declining trend from coastal areas to inland areas. The exception was Guilin Street, which demonstrates a local peak of house prices that decreases from the center of the street to its periphery. Second, the accessibility value is 33 minutes on average, excluding northern and eastern fringe areas, which was over 50 minutes. Third, the significant spatial correlation coefficient between accessibility and house prices is 0.423, and the coefficient increases in the southeastern direction. The strongest impact of accessibility on house prices is in the southeastern coast, and can be seen in the Lehua, Yingke, and Hushan communities, while the weakest impact is in the northwestern fringe, and can be seen in the Yingchengzi, Xixiaomo, and Daheishi community areas.
资助项目	National Natural Science Foundation of China[41471140] ; National Natural Science Foundation of China[41771178] ; Liaoning Province Outstanding Youth Program[LJQ2015058]
WOS关键词	DRIVING FACTORS ; EXPANSION ; HETEROGENEITY ; POLLUTION ; STATIONS ; PATTERNS ; DENSITY ; BIOMASS ; MEXICO ; LEVEL
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000431266700013
资助机构	National Natural Science Foundation of China ; Liaoning Province Outstanding Youth Program
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/55025]
专题	中国科学院地理科学与资源研究所
通讯作者	Yang Jun
作者单位	1.Liaoning Normal Univ, Human Settlements Res Ctr, Dalian 116029, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Yang Jun,Bao Yajun,Zhang Yuqing,et al. Impact of Accessibility on Housing Prices in Dalian City of China Based on a Geographically Weighted Regression Model[J]. CHINESE GEOGRAPHICAL SCIENCE,2018,28(3):505-515.
APA	Yang Jun,Bao Yajun,Zhang Yuqing,Li Xueming,&Ge Quansheng.(2018).Impact of Accessibility on Housing Prices in Dalian City of China Based on a Geographically Weighted Regression Model.CHINESE GEOGRAPHICAL SCIENCE,28(3),505-515.
MLA	Yang Jun,et al."Impact of Accessibility on Housing Prices in Dalian City of China Based on a Geographically Weighted Regression Model".CHINESE GEOGRAPHICAL SCIENCE 28.3(2018):505-515.