Abstract The land price is a reflection of the economic role of the land market, and its spatial characteristics are affected by many factors. Land price plays an important leverage role in guiding land resource allocation for urban planning and development,particularly in big cities of fast developing countries where infrastructures and populationschange frequently. Therefore, detecting spatially implicit information in the spatial pattern of relationships between land price and related impact factors is critical. This paper takes the main city of Hefei as a case, based on the transfer data of residential land from 2010 to 2014,and by using the geostatistical method, GWR models and other methods to study the spatial heterogeneity and its micro influencing factors of residential land price in Hefei.The outputs of this study shows that:1)The spatial distribution of residential land price in Hefei has a significant polycentric spatial structure. The peak of the residential land price takes the Old Town, Swan Lake in the Administrative District and Tangxi River Park in the Lake District as the center, which presents a distribution pattern of concentric trend. 2)The estimated coefficients of different explanatory variables of land price show different spatial distribution characteristics, obtained from Geographically weighted regression(GWR) analysis, which indicated that their relationships of the influencing factors with residential land price are spatially non-stationary. 3)To clarify the Mechanisms of action between land price and influencing factors in local areas, and create dynamic digital models of land price, which not only to promote the intensive use of land resources, and reshape the city's spatial structure, but also to provide an important theoretical support for the overall value of the city.
邬丽萍.城市土地价格机制研究[M].北京:经济科学出版社,2007:8-9.[Wu Liping. Mechanism of Urban Land Price[M]. Beijing:Economic Science Press, 2007:8-9.]
[2]
邓羽.北京市土地出让价格的空间格局与竞租规律探讨[J].自然资源学报,2015,30(2):218-225.[Deng Yu. Spatial pattern and bid rent of land price in Beijing[J]. Journal of Natural Resources, 2015,30(2):218-225.]
[3]
宋佳楠,金晓斌,唐健,等.中国城市地价水平及变化影响因素分析[J]. 地理学报,2011,66(8):1045-1054.[Song Jianan, Jin Xiaobin, Tang Jian, et al. Analysis of influencing factors for urban land price and its changing trend in China in recent years[J]. Acta Geographica Sinica, 2011,66(8):1045-1054.]
[4]
Asabere P K, Harvey B. Factors influencing the value of urban land:Evidence from Halifax-Dartmouth, Canada[J]. Real Estate Economics,1985,13(4):361-377.
[4]
Asabere P K, Harvey B. Factors influencing the value of urban land:Evidence from Halifax-Dartmouth, Canada[J]. Real Estate Economics,1985,13(4):361-377.
[5]
Witte A D. The determination of interurban residential site price differences:A derived demand model with empirical testing[J]. Joumal of Regional Science, 2006,15(3):351-364.
[5]
Witte A D. The determination of interurban residential site price differences:A derived demand model with empirical testing[J]. Joumal of Regional Science, 2006,15(3):351-364.
[6]
Can A. Specification and estimation of hedonic house price models[J]. Regional Science and Urban Economics, 1992,22(3):453-474.
[6]
Can A. Specification and estimation of hedonic house price models[J]. Regional Science and Urban Economics, 1992,22(3):453-474.
[7]
Wheeler D, Calder C A. An assessment of coefficient accuracy in linear regression models with spatially varying coefficients[J]. Geographical System, 2007,9(2):145-166.
[7]
Wheeler D, Calder C A. An assessment of coefficient accuracy in linear regression models with spatially varying coefficients[J]. Geographical System, 2007,9(2):145-166.
[8]
Fotheringham A S, Brunsdon C, Charlton M. Geographically Weighted Regression:The Analysis of Spatially Varying Relationships[M]. Hoboken:Wiley, 2003:52-81.
[8]
Fotheringham A S, Brunsdon C, Charlton M. Geographically Weighted Regression:The Analysis of Spatially Varying Relationships[M]. Hoboken:Wiley, 2003:52-81.
[9]
Farber S, Yates M. A comparison of localized regression models in an hedonic price context[J]. Canadian Journal of Regional Science, 2006,29:405-420.
[9]
Farber S, Yates M. A comparison of localized regression models in an hedonic price context[J]. Canadian Journal of Regional Science, 2006,29:405-420.
[10]
Gao Xiaolu, Asami Y. Exploring the influence of spatial features on land and housing price[J]. Tsinghua Science and Technology, 2005, 10(3):344-353.
[10]
Gao Xiaolu, Asami Y. Exploring the influence of spatial features on land and housing price[J]. Tsinghua Science and Technology, 2005, 10(3):344-353.
[11]
Noresah F S, Ruslan R. Modeling urban spatial structure using geographically weighted regression[J]. Modsim Congress, 2009,18:1950-1956.
[11]
Noresah F S, Ruslan R. Modeling urban spatial structure using geographically weighted regression[J]. Modsim Congress, 2009,18:1950-1956.
[12]
Mansour S. Spatial modeling of residential crowding in Alexandria Governorate, Egypt:A geographically weighted regression(GWR) technique[J]. Journal of Geographic Information System, 2015,7(4):369-383.
[13]
董冠鹏,张文忠,武文杰,等.北京城市住宅土地市场空间异质性模拟与预测[J]. 地理学报,2012,66(6):750-760.[Dong Guanpeng, Zhang Wenzhong, Wu Wenjie, et al. Spatial heterogeneity in determinants of residential land price:Simulation and prediction[J]. Acta Geographica Sinica, 2011,66(6):750-760.]
[14]
曹天邦,黄克龙,李剑波,等.南京市主城区住宅地价的时空演变[J]. 地理研究2012,31(6):1029-1038.[Cao Tianbang, Huang Kelong, Li Jianbo, et al. The spatial-temporal evolution of the residential land price of downtown Nanjing[J]. Geographical Research, 2012, 31(6):1029-1038.]
[15]
包善驹,陆林.合肥城市规划引导空间演进对地价时空演变的影响[J].地理学报,2015,70(6):906-918.[Bao Shanju, Lu Lin. Impact of planning-guided spatial evolvement on temporal-spatial evolution of land price:Taking Hefei as an example[J]. Environmental Science & Management, 2015,70(6):906-918.]
[16]
杨奎奇,汪应宏,张绍良,等.江苏省城市地价影响因素分析与空间结构研究[J]. 人文地理,2013,28(1):69-74.[Yang Kuiqi, Wang Yinghong, Zhang Shaoliang, et al. City land price factorial analysis and spatial distribution research in Jiangsu province[J]. Human Geograpy, 2013,28(1):69-74.]
[17]
吕萍,甄辉.基于GWR模型的北京市住宅用地价格影响因素及其空间规律研究[J].经济地理,2010,30(3):472-478.[Lv Ping, Zhen Hui. Affecting factors research of Beijing residential land price based on GWR model[J]. Economic Geography, 2010,30(3):472-478.]
[18]
张丽芳,濮励杰,张静等.基于Hedonic模型的城市地价空间结构分析:以湖南省娄底市为例[J].经济地理,2009,29(9):1475-1480.[Zhang Lifang, Pu Lijie, Zhang Jing, et al. Analysis on the space frame of city land price based on the Hedonic model:Taking Loudi city of Hunan province as an example[J]. Economic Geography, 2009,29(9):1475-1480.]
[19]
武文杰,刘志林,张文忠.基于结构方程模型的北京居住用地价格影响因素评价[J].地理学报,2010,65(6):676-684.[Wu Wenjie, Liu Zhilin, Zhang Wenzhong. Determinants of residential land price:Structure equation model analysis using land-leasing parcel data in Beijing[J]. Acta Geographica Sinica, 2010,65(6):676-684.]
[20]
单玉红,聂俊成.基于GWR模型的武汉市居住地价影响因素研究[J].华中农业大学学报(社会科学版),2014(5):111-118.[Shan Yuhong, Nie Juncheng. Influencing factors of residential land price in Wuhan based on GWR model[J]. Journal of Huazhong Agricultural University, 2014(5):111-118.]
[12]
Mansour S. Spatial modeling of residential crowding in Alexandria Governorate, Egypt:A geographically weighted regression(GWR) technique[J]. Journal of Geographic Information System, 2015,7(4):369-383.
[21]
曹天邦,黄克龙,李剑波,等.基于GWR的南京市住宅地价空间分异及演变[J].地理研究,2013,32(12):2324-2333.[Cao Tianbang, Huang Kelong, Li Jianbo, et al. Research on spatial variation and evolution of residential land price in Nanjing based on GWR Model[J]. Geographical Research, 2013,32(12):2324-2333.]
[13]
董冠鹏,张文忠,武文杰,等.北京城市住宅土地市场空间异质性模拟与预测[J]. 地理学报,2012,66(6):750-760.[Dong Guanpeng, Zhang Wenzhong, Wu Wenjie, et al. Spatial heterogeneity in determinants of residential land price:Simulation and prediction[J]. Acta Geographica Sinica, 2011,66(6):750-760.]
[14]
曹天邦,黄克龙,李剑波,等.南京市主城区住宅地价的时空演变[J]. 地理研究2012,31(6):1029-1038.[Cao Tianbang, Huang Kelong, Li Jianbo, et al. The spatial-temporal evolution of the residential land price of downtown Nanjing[J]. Geographical Research, 2012, 31(6):1029-1038.]
[22]
李志,周生路,张红富,等.基于GWR模型的南京市住宅地价影响因素及其边际价格作用研究[J].中国土地科学,2009,23(10):20-25.[Li Zhi, Zhou Shenglu, Zhang Hongfu, et al. Exploring the factors impacting on the residential land price and measuring their marginal effects based on geographically weighted regression model:A case study of Nanjing[J]. China Land Science, 2009,23(10):20-25.]
[15]
包善驹,陆林.合肥城市规划引导空间演进对地价时空演变的影响[J].地理学报,2015,70(6):906-918.[Bao Shanju, Lu Lin. Impact of planning-guided spatial evolvement on temporal-spatial evolution of land price:Taking Hefei as an example[J]. Environmental Science & Management, 2015,70(6):906-918.]
[16]
杨奎奇,汪应宏,张绍良,等.江苏省城市地价影响因素分析与空间结构研究[J]. 人文地理,2013,28(1):69-74.[Yang Kuiqi, Wang Yinghong, Zhang Shaoliang, et al. City land price factorial analysis and spatial distribution research in Jiangsu province[J]. Human Geograpy, 2013,28(1):69-74.]
[23]
罗罡辉,吴次芳,郑娟尔.宗地面积对住宅地价的影响[J].中国土地科学,2007,21(5):66-69.[Luo Ganghui, Wu Ci-fang, Zhang Juan-er. The influence of parcel land area on housing land price[J]. China Land Science,2007,21(5):66-69.]
[24]
任辉,吴群.基于ESDA的城市住宅地价时空分异研究:以南京市为例[J].经济地理,2011,31(5):760-765.[Ren Hui, Wu Qun. Study on urban residential land price time-spatial differentiation based on ESDA analysis:A case study of Nanjing city[J]. Economic Geography, 2011,31(5):760-765.]
[25]
包善驹,陆林.合肥主城区住宅剖面线型地价的比较与成因分析[J].地理科学,2015,35(2):197-203.[Bao Shanju, Lu Lin. Comparison and cause analysis of residential section line type land price of Hefei main city zone[J]. Scientia Geographica Sinica, 2015,35(2):197-203.]
[17]
吕萍,甄辉.基于GWR模型的北京市住宅用地价格影响因素及其空间规律研究[J].经济地理,2010,30(3):472-478.[Lv Ping, Zhen Hui. Affecting factors research of Beijing residential land price based on GWR model[J]. Economic Geography, 2010,30(3):472-478.]
[18]
张丽芳,濮励杰,张静等.基于Hedonic模型的城市地价空间结构分析:以湖南省娄底市为例[J].经济地理,2009,29(9):1475-1480.[Zhang Lifang, Pu Lijie, Zhang Jing, et al. Analysis on the space frame of city land price based on the Hedonic model:Taking Loudi city of Hunan province as an example[J]. Economic Geography, 2009,29(9):1475-1480.]
[19]
武文杰,刘志林,张文忠.基于结构方程模型的北京居住用地价格影响因素评价[J].地理学报,2010,65(6):676-684.[Wu Wenjie, Liu Zhilin, Zhang Wenzhong. Determinants of residential land price:Structure equation model analysis using land-leasing parcel data in Beijing[J]. Acta Geographica Sinica, 2010,65(6):676-684.]
[20]
单玉红,聂俊成.基于GWR模型的武汉市居住地价影响因素研究[J].华中农业大学学报(社会科学版),2014(5):111-118.[Shan Yuhong, Nie Juncheng. Influencing factors of residential land price in Wuhan based on GWR model[J]. Journal of Huazhong Agricultural University, 2014(5):111-118.]
[21]
曹天邦,黄克龙,李剑波,等.基于GWR的南京市住宅地价空间分异及演变[J].地理研究,2013,32(12):2324-2333.[Cao Tianbang, Huang Kelong, Li Jianbo, et al. Research on spatial variation and evolution of residential land price in Nanjing based on GWR Model[J]. Geographical Research, 2013,32(12):2324-2333.]
[22]
李志,周生路,张红富,等.基于GWR模型的南京市住宅地价影响因素及其边际价格作用研究[J].中国土地科学,2009,23(10):20-25.[Li Zhi, Zhou Shenglu, Zhang Hongfu, et al. Exploring the factors impacting on the residential land price and measuring their marginal effects based on geographically weighted regression model:A case study of Nanjing[J]. China Land Science, 2009,23(10):20-25.]
[23]
罗罡辉,吴次芳,郑娟尔.宗地面积对住宅地价的影响[J].中国土地科学,2007,21(5):66-69.[Luo Ganghui, Wu Ci-fang, Zhang Juan-er. The influence of parcel land area on housing land price[J]. China Land Science,2007,21(5):66-69.]
[24]
任辉,吴群.基于ESDA的城市住宅地价时空分异研究:以南京市为例[J].经济地理,2011,31(5):760-765.[Ren Hui, Wu Qun. Study on urban residential land price time-spatial differentiation based on ESDA analysis:A case study of Nanjing city[J]. Economic Geography, 2011,31(5):760-765.]
[25]
包善驹,陆林.合肥主城区住宅剖面线型地价的比较与成因分析[J].地理科学,2015,35(2):197-203.[Bao Shanju, Lu Lin. Comparison and cause analysis of residential section line type land price of Hefei main city zone[J]. Scientia Geographica Sinica, 2015,35(2):197-203.]
[26]
Siksna A. The effects of block size and form in North American and Australian city centers[J]. Urban Morphology, 1997(1):19-33.
[27]
赵守谅,陈婷婷.在经济分析的基础上编制控制性详细规划:从美国区划得到的启示[J].国际城市规划,2006,21(1):79-82.[Zhao Shouliang, Chen Tingting. The compiling of regulatory plan on the foundation of economic analysis-reflection of zoning in America[J]. Urban Planning International, 2006,21(1):79-82.]
[28]
杨忠伟,王震.城市白色用地与灰色用地规划比较研究[J].现代城市研究,2011(12):28-33.[Yang Zhongwei, Wang zhen. Comparative study on planning of urban white land and grey land[J]. Modern Urban Research, 2011(12):28-33.]
2017, Vol. 32 
