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Impact of Accessibility on Housing Prices in Dalian City of China Based on a Geographically Weighted Regression Model
Yang Jun1,2; Bao Yajun1; Zhang Yuqing1; Li Xueming1; Ge Quansheng2
2018-06-01
Source PublicationCHINESE GEOGRAPHICAL SCIENCE
ISSN1002-0063
Volume28Issue:3Pages:505-515
Corresponding AuthorYang Jun(yangjun@lnnu.edu.cn)
AbstractThis 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.
Keywordgeographically weighted regression model accessibility house price Dalian City
DOI10.1007/s11769-018-0954-6
WOS KeywordDRIVING FACTORS ; EXPANSION ; HETEROGENEITY ; POLLUTION ; STATIONS ; PATTERNS ; DENSITY ; BIOMASS ; MEXICO ; LEVEL
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41471140] ; National Natural Science Foundation of China[41771178] ; Liaoning Province Outstanding Youth Program[LJQ2015058]
Funding OrganizationNational Natural Science Foundation of China ; Liaoning Province Outstanding Youth Program
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000431266700013
PublisherSPRINGER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/55026
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYang Jun
Affiliation1.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
Recommended Citation
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.
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