STUDY ON SPATIAL DIFFERENTIATION OF HOUSING PRICE DISTRIBUTION AND ITS INFLUENCING FACTORS IN CHANGCHUNs
ZHAO Zi-yu1, WANG Xue-wei2, WANG Shi-jun3
1. School of Tourism and Geography Science, Qingdao University, Qingdao 266071, China;
2. School of Geography and Tourism, Anhui Normal University, Wuhu 241002, China;
3. School of Geographical Sciences, Northeast Normal University, Changchun 130024, China
Abstract：The housing price problem has always been widely concerned by the society. The residential price of a city often has its unique spatial distribution characteristics, which has triggered a series of geographical phenomena and geographical problems worthy of further discussion.Therefore the spatial-temporal evolution and spatial differentiation of urban housing price is an important research topic in urban geography. Based on the continuous year residential price data, using space hotspot analysis and geo-weighted regression model, this paper studies the spatial differentiation of residential price distribution and the spatial heterogeneity of the distribution of residential price influencing factors since 2011 in Changchun. The conclusions are as followed:1)Judging from the development process of residential space in Changchun city, with the rapid expansion of the city and the advancement of transportation facilities, the living space has a "discrete" trend. 2) Since 2011, the price of Changchun housing has shown the spatial characteristics of fan-shaped growth of the southern sector, the high-priced residential blocks spread from the point-like distribution to the flake diffusion. 3)Based on the perspective of neighborhood characteristics, POI data is used to measure the spatial heterogeneity of the interaction between service facilities and residential prices.
赵梓渝, 王雪微, 王士君. 长春市住宅价格空间分异与影响因素研究[J]. 人文地理, 2019, 34(4): 97-105,125.
ZHAO Zi-yu, WANG Xue-wei, WANG Shi-jun. STUDY ON SPATIAL DIFFERENTIATION OF HOUSING PRICE DISTRIBUTION AND ITS INFLUENCING FACTORS IN CHANGCHUNs. HUMAN GEOGRAPHY, 2019, 34(4): 97-105,125.
Wu F. China's recent urban development in the process of land and housing marketisation and economic globalisation[J]. Habitat International, 2001,25(3):273-289.
[2]
宋伟轩,吴启焰,朱喜钢.新时期南京居住空间分异研究[J].地理学报,2010,65(6):685-694.[Song Weixuan, Wu Qiyan, Zhu Xigang. Residential differentiation of Nanjing in the new period[J]. Acta Geographica Sinica, 2010,65(6):685-694.]
[3]
Wu Q Y, Zhang X L, Waley P. Jiaoyufication:When gentrification goes to school in the Chinese inner city[J]. Urban Studies, 2016,53(16):3510-3526.
[4]
宋伟轩,马雨竹,陈艳如.南京城区住宅售租价格时空分异与影响因素[J].地理科学进展,2018,37(9):1268-1276.[Song Weixuan, Ma Yuzhu, Chen Yanru. Spatiotemporal differentiation and influencing factors of housing selling and rental prices:A case study of Nanjing City[J]. Progress in Geography, 2018,37(9):1268-1276.]
[5]
邹利林,杨俊,胡学东.中国城市住宅价格时空演变研究进展与展望[J].地理科学进展,2013,32(10):1479-1489.[Zou Lilin, Yang Jun, Hu Xuedong. Research on temporal-spatial changes of urban residential housing price in China:Progress and prospects[J]. Progress in Geography, 2013,32(10):1479-1489.]
[6]
Bostic R W, Longhofer S D, Redfearn C L. Land leverage:Decomposing home price dynamics[J]. Real Estate Economics, 2007,35(2):183-208.
[7]
王洋.住宅优势度的理论与评价方法[J].人文地理,2016,31(4):66-71.[Wang Yang. The theory and evalution method of the housing dominance[J]. Human Geography, 2016,31(4):66-71.]
[8]
王洋,李强,王少剑,等.扬州市住宅价格空间分异的影响因素与驱动机制[J]. 地理科学进展,2014,33(3):375-388.[Wang Yang, Li Qiang, Wang Shaojian, et al. Determinants and dynamics of spatial differentiation of housing price in Yangzhou[J]. Progress in Geography, 2014,33(3):375-388.]
[9]
庞瑞秋,赵梓渝,王唯,等.住房制度改革以来长春市新建住宅的空间布局研究[J].地理科学,2013,33(4):432-442.[Pang Ruiqiu, Zhao Ziyu, Wang Wei, et al. The spatial layout of residence since the reform of housing system in Changchun[J]. Scientia Geographica Sinica, 2013,33(4):432-442.]
[10]
温海珍,李旭宁,张凌.城市景观对住宅价格的影响:以杭州市为例[J].地理研究,2012,31(10):1806-1814.[Wen Haizhen, Li Xuning, Zhang Ling. Impacts of the urban landscape on the housing pricing:A case study in Hangzhou[J]. Geographical Research, 2012,31(10):1806-1814.]
[11]
尹上岗,宋伟轩,马志飞,等.南京市住宅价格时空分异格局及其影响因素分析——基于地理加权回归模型的实证研究[J].人文地理,2018,33(3):68-77.[Yin Shanggang, Song Weixuan, Ma Zhifei, et al. Spatial differentiation and influencing factors analysis of housing prices in Nanjing:Based on geographically weighted regression model[J]. Human Geography, 2018,33(3):68-77.]
[12]
宋伟轩,毛宁,陈培阳,等.基于住宅价格视角的居住分异耦合机制与时空特征研究:以南京为例[J].地理学报,2017,72(4):589-602.[Song Weixuan, Mao Ning, Chen Peiyang, et al. Coupling mechanism and spatial-temporal pattern of residential differentiation from the perspective of housing prices:A case study of Nanjing[J]. Acta Geographica Sinica, 2017,72(4):589-602.]
[13]
浩飞龙,王士君,冯章献,等.基于POI数据的长春市商业空间格局及行业分布[J]. 地理研究,2018,37(2):366-378.[Hao Feilong, Wang Shijun, Feng Zhangxian, et al. Spatial pattern and its industrial distribution of commercial space in Changchun based on POI data[J]. Geographical Research, 2018,37(2):366-378.]
[14]
陈蔚珊,柳林,梁育填.基于POI数据的广州零售商业中心热点识别与业态集聚特征分析[J].地理研究,2016,35(4):703-716.[Chen Weishan, Liu Lin, Liang Yutian. Retail center recognition and spatial aggregating feature analysis of retail formats in Guangzhou based on POI data[J]. Geographical Research, 2016,35(4):703-716.]
[15]
张少尧,宋雪茜,邓伟.空间功能视角下的公共服务对房价的影响:以成都市为例[J].地理科学进展,2017,36(8):995-1005.[Zhang Shaoyao, Song Xueqian, Deng Wei. Impact of public services on housing prices in different functional spaces:A case study of metropolitan Chengdu[J]. Progress in Geography, 2017,36(8):995-1005.]
[16]
王爱,陆林,包善驹,等.基于GWR模型的合肥居住地价影响因素研究[J].人文地理,2017,32(5):89-97.[Wang Ai, Lu Lin, Bao Shanju, et al. Research on the influencing factors of residential land price in Hefei based on GWR model[J]. Human Geography, 2017, 32(5):89-97.]
[17]
冯健,周一星.北京都市区社会空间结构及其演化(1982-2000)[J]. 地理研究,2003,22(4):465-483.[Feng Jian, Zhou Yixing. The social spatial structure of Beijing Metropolitan Area and its evolution:1982-2000[J]. Geographical Research, 2003,22(4):465-483.]
[18]
廖邦固,徐建刚,宣国富,等.1947-2000年上海中心城区居住空间结构演变[J].地理学报,2008,63(2):195-206.[Liao Banggu, Xu Jiangang, Xuan Guofu, et al. Evolution of residential space structure in Shanghai central city based on land use[J]. Acta Geographica Sinica, 2008,63(2):195-206.]
[19]
申庆喜,李诚固,胡述聚.长春市居住与工业空间演进的耦合性测度及影响因素[J].人文地理,2017,32(1):62-67.[Shen Qingxi, Li Chenggu, Hu Shuju. The coupling measure and driving forces of the evolution of residential and industrial space in Changchun[J]. Human Geography, 2017,32(1):62-67.]
[20]
宋伟轩,马雨竹,李晓丽,等.南京城市住宅小区房价增长模式与效应[J].地理学报,2018,73(10):1880-1895.[Song Weixuan, Ma Yuzhu, Li Xiaoli, et al. Housing price growth in different residences in urban Nanjing:Spatiotemporal pattern and social spatial effect[J]. Acta Geographica Sinica, 2018,73(10):1880-1895.]
[21]
Carter W H, Schill M H. Polarisation, public housing and racial minorities in US Cities[J]. Urban Studies, 2014,35(10):1889-1911.
[22]
赵梓渝,庞瑞秋,王士君.长春市大型零售设施空间可达性绩效测度[J]. 地理研究,2016,35(3):431-441.[Zhao Ziyu, Pang Ruiqiu, Wang Shijun. Measurement of spatial accessibility performance of large retailing facilities in Changchun[J]. Geographical Research, 2016,35(3):431-441.]
