地理科学 ›› 2017, Vol. 37 ›› Issue (10): 1535-1545.doi: 10.13249/j.cnki.sgs.2017.10.010
收稿日期:
2016-12-05
修回日期:
2017-03-26
出版日期:
2017-10-20
发布日期:
2017-10-20
作者简介:
作者简介:王爱(1985-),男,安徽合肥人,博士研究生,研究方向为城市地理与城市规划。E-mail:
基金资助:
Ai Wang(), Lin Lu(
), Shanju Bao
Received:
2016-12-05
Revised:
2017-03-26
Online:
2017-10-20
Published:
2017-10-20
Supported by:
摘要:
基于微观因素的视角,对合肥市商业地价的空间格局、空间异质性进行空间插值和回归分析,研究发现: ① 商业地价空间格局呈现多中心的结构,峰值区集中分布在城市中心,低值区分布在二环线以外的地区;② GWR模型能清晰地反映出各因素对地价影响力的空间差异,容积率、交通站点、CBD和公园是研究区商业地价的关键驱动因素;③ 较之外在因素,内在因素对商业地价的边际作用效率较大,其中尤以容积率最为突出;④ 相较于欠发达地区,容积率在高度发达的区域对地价的正向效应更为显著,而交通站点和CBD对地价的作用正好相反。商业开发更愿意为小型公园支付更高的价格。
中图分类号:
王爱, 陆林, 包善驹. 合肥市商业地价驱动因素的空间非平稳性分析[J]. 地理科学, 2017, 37(10): 1535-1545.
Ai Wang, Lin Lu, Shanju Bao. Spatially Non-stationary Analysis Between Commercial Land Price and Driving Factors in Hefei City[J]. SCIENTIA GEOGRAPHICA SINICA, 2017, 37(10): 1535-1545.
表1
驱动因素的选取及描述性统计"
驱动因素 | 参数表示 | 量化标准 | 描述性统计 | |||
---|---|---|---|---|---|---|
r | P值 | VIF | ||||
外在因素 | CBD | DCBD | 宗地至CBD的最短距离 | -0.28 | 0.01 | 4.85 |
大学 | Dcol | 宗地至大学的最短距离 | -0.35 | 0.01 | 4.42 | |
中小学 | Dsch | 宗地至优质中小学的最短距离 | -0.21 | 0.05 | 2.17 | |
公园 | Dpark | 宗地至公园的最短距离 | -0.27 | 0.01 | 3.32 | |
医院 | Dhosp | 宗地至大型医院的最短距离 | -0.42 | 0.01 | 4.64 | |
主干路 | Droad | 宗地至城市主干路的最短距离 | -0.20 | 0.05 | 1.38 | |
交通站点 | Dtraf | 宗地至交通站点的最短距离 | -0.32 | 0.01 | 3.53 | |
内在因素 | 宗地面积 | Area | 宗地的具体面积 | -0.14 | 0.05 | 1.05 |
容积率 | Far | 宗地的容积率 | 0.26 | 0.01 | 1.06 |
表2
GWR模型的运算结果"
因素 | 平均值 | 最小值 | 最大值 | 标准差 | 下四分位值 | 中值 | 上四分位值 |
---|---|---|---|---|---|---|---|
CBD | -0.069 | -0.909 | 0.953 | 0.220 | 0.051 | -0.104 | -0.188 |
大学 | -0.017 | -2.640 | 2.583 | 0.556 | 0.186 | 0.050 | -0.224 |
中小学 | 0.065 | -1.966 | 0.850 | 0.297 | 0.166 | 0.070 | -0.034 |
公园 | 0.091 | -0.896 | 2.038 | 0.289 | 0.137 | 0.087 | -0.004 |
医院 | -0.068 | -3.258 | 2.850 | 0.663 | 0.012 | -0.073 | -0.280 |
主干路 | -0.279 | -3.779 | 0.747 | 0.626 | 0.010 | -0.211 | -0.471 |
交通站点 | -0.143 | -0.888 | 0.623 | 0.242 | 0.308 | -0.084 | 0.000 |
宗地面积 | -0.573 | -30.840 | 6.245 | 2.831 | -0.016 | -0.170 | -1.105 |
容积率 | 39.058 | -25.750 | 271.22 | 50.421 | 53.269 | 21.569 | 5.550 |
[1] | 仇保兴. 实现我国有序城镇化的难点与对策选择[J].城市规划学刊,2007, (5):61-67. |
[Qiu Baoxing.Difficultiesand strategies choosing in the realization of orderly urbanization of China.Urban Planning Forum, 2007,(5):61-67.] | |
[2] |
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,2011,66(6):750-760.
doi: 10.11821/xb201106004 |
[Dong Guanpeng, Zhang Wenzhong, Wu Wenjie et al.Spatial Heterogeneity in Determinants of Residential Land Price: Simulation and Prediction.Acta Geographica Sinica,2011,66(6):750-760.]
doi: 10.11821/xb201106004 |
|
[3] | 楼立明. 城市地价信息的空间分析及其应用研究[D].杭州:浙江大学,2004:10-42. |
[Lou Liming.Spatial analysis and application of urban land price.Hangzhou:Zhejiang University,2004:10-42.] | |
[4] |
施建刚,李俊明.数字地价模型建立过程中的插值方法研究:以上海内环线地区为例[J].土木工程学报,2007,40(1):90-95.
doi: 10.3321/j.issn:1000-131X.2007.01.016 |
[Shi Jian’gang,Li Junming.A study on interpolation techniques in the Digital Land Price Model:The case of Shanghai inner belt-way district. China Civil Engineering Journal, 2007,40(1):90-95.]
doi: 10.3321/j.issn:1000-131X.2007.01.016 |
|
[5] | 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. Scientia Geographica Sinica, 2015,35(2):197-203.] | |
[6] |
Lima A, De V B, Cicchella D et al.Multifractal IDW interpolation and fractal filtering method in environmental studies: An application on regional stream sediments of (Italy), Campania region[J].Applied Geochemistry, 2003,18:1853-1865.
doi: 10.1016/S0883-2927(03)00083-0 |
[7] |
Hu S, Cheng Q, Wang L et al. Modeling land price distribution using multifractal IDW interpolation and fractal filtering method[J]. Landscape and Urban Planning, 2013,110:25-35.
doi: 10.1016/j.landurbplan.2012.09.008 |
[8] | 王爱,陆林,包善驹.合肥市地价的空间格局与影响因素研究[J].经济地理, 2016,36(10):84-92. |
[Wang Ai,Lu Lin,Bao Shanju.Study on Land Price Spatial Pattern and Its Influencing Factors in Hefei.Economic Geography,2016,36(10):84-92.] | |
[9] | 周刚华. 城市土地价格的微观影响因素及其实证研究[D].杭州:浙江大学,2004:13-37. |
[Zhou Ganghua.The Micro Factors and Empirical Research onUrban LandPrice.Hangzhou:Zhejiang University,2004:13-37.] | |
[10] | Anil R, Stephan J G.Land Use Research:Scientific Publication from 1986 to the Present[J].Land Use Research,2001,8:2-10. |
[11] |
Skidmore M,Peddle M.Do Development Impact Fees Reduce the Rate of Residential Development[J].Growth and Change,1998,29(4):383-400.
doi: 10.1111/j.1468-2257.1998.tb00026.x |
[12] |
Green R K.Land Use Regulatiousing on and the Price of Housing in a Suburban Wisconsin County[J]. Journal of Housing Economics, 1999,8:144-159.
doi: 10.1006/jhec.1999.0243 |
[13] |
Nasr Kheira, Boris A P.Economic, demographic and environmental factors affecting urban land prices in the Arab sector in Israel[J].Land Use Policy, 2016, 50:518-527.
doi: 10.1016/j.landusepol.2015.08.031 |
[14] |
Forrest D,Glen J,Ward R.The impact of a light rail system on the structure of house prices:A hedonic longitudinal study[J].Journal of Transport Economics and Policy, 1996,30(1):15-30.
doi: 10.1007/BF00353332 |
[15] | Evans R D, Rayburn W B.The Effect of School Desegregation Decision on Single Family House Values[J]. Journal of Real Estate Research,1990,5(2):221-230. |
[16] | Sirpal R.Emoirical modeling of the relative impacts of various sizes of shopping centres on the value of surrounding residential properties[J].Journal of Real Estate Research, 1994,9(4):487-505. |
[17] |
Huh S, Kwak S J.The choice of function form and variables in the hedonic price model in Seoul[J].Urban Studies, 1997,34(7):989-998.
doi: 10.1080/0042098975691 |
[18] |
Jim C Y, Chen W Y.Consumption preferences and environmental externalities:A hedonic analysis of the housing market in Guangzhou[J].Geoforum, 2007,38(2): 414-431.
doi: 10.1016/j.geoforum.2006.10.002 |
[19] | 常疆,廖秋芳,王良健.长沙市区地价的空间分布特征及其影响因素[J].地理研究,2011,30(10):1901-1909. |
[Chang Jiang,Liao Qiufang,Wang Liangjian.Spatial distribution and influencing factors of urban land price in Changsha City.Geographicial Research,2011,30(10):1901-1909.] | |
[20] |
Brunsdont C, Fotheringham A S, Chariton M.Geographically Weighted Regression:a method for exploring spatial non-stationary[J].Geographical Analysis,1996,28(4):281-298.
doi: 10.1111/j.1538-4632.1996.tb00936.x |
[21] |
Zhang L,Bi H, Cheng P et al.Modeling spatial variation in tree diametre-height relationships[J].Forest Ecology and Management,2004,189(1-3):317-329.
doi: 10.1016/j.foreco.2003.09.004 |
[22] |
Benedict W,Rigby J E,Huriwai T.Pokies and poverty:problem gambling risk factor geography in New Zealand[J].Health and Place,2006,12(1):86-96.
doi: 10.1016/j.healthplace.2004.10.011 pmid: 16243683 |
[23] |
Tu J, Xia Z G.Examining spatially varying relationships between land use and water quality using geographically weighted regression I: model design and evaluation[J].Science of the Total Environment, 2008,407(1):358-378.
doi: 10.1016/j.scitotenv.2008.09.031 pmid: 18976797 |
[24] | Ngui A N,Carbon J.Usinggeographically weighted regressiontoassessspatial distributionofmental health in urban environment[J].Advances in Psychology Research,2012,95:167-185. |
[25] |
Breetzke G D.The effect of altitude and slope on the spatial patterning of burglary[J].Applied Geography, 2012,34: 66-75.
doi: 10.1016/j.apgeog.2011.10.017 |
[26] |
Lee K H, Schuett M A.Exploring spatial variations in the relationships between residents’ recreation demand and associated factors: A case study in Texas[J].Applied Geography,2014, 53:213-222.
doi: 10.1016/j.apgeog.2014.06.018 |
[27] |
Connolly M H,Hagelman R R.Management implications of spatio-temporalnon-stationarity in municipal water consumption patterns and drivers[J].Applied Geography,2015, 65:70-81.
doi: 10.1016/j.apgeog.2015.11.003 |
[28] |
Hu S,Yang S, Li W et al.Spatially non-stationary relationships between urban residential land price and impact factors in Wuhan city, China[J].Applied Geography, 2016,68:48-56.
doi: 10.1016/j.apgeog.2016.01.006 |
[29] | 张静,张丽芳,濮励杰,等.基于GWR模型的城市住宅地价的时空演变研究:以江苏省为例[J].地理科学,2012,32(7):828-834. |
[Zhang Jing, Zhang Lifang, Pu Lijie et al.Research on Spatio-temporal Variation of Urban Residential Land Pricebased on GWR Model: A Case Study of Jiangsu Province.Scientia Geographica Sinica, 2012,32(7):828-834.] | |
[30] |
隋雪艳,吴巍,周生路,等.都市新区住宅地价空间异质性驱动因素研究:基于空间扩展模型和GWR模型的对比[J].地理科学,2015,35(6);683-689.
doi: 10.11820/dlkxjz.2011.09.007 |
[Sui Xueyan,Wu Wei, Zhou Shenglu et al.Drive Pattern on the Spatial Heterogeneity of Residential Land Price in Urban District:AComparison of Spatial Expansion Method and GWR Model.Scientia Geographica Sinica, 2015,35(6):683-689.]
doi: 10.11820/dlkxjz.2011.09.007 |
|
[31] | 张石磊,毕忠德,杨志毅,等.长春市商业用地基准地价演变过程及驱动因子分析[J].地理科学,2011,31(7):823-828. |
[Zhang Shilei,Bi Zhongde, Yang Zhiyi et al.The Evolution Process and Driving Factors of Standard Land Price of Commercial Land in Changchun City. China.Scientia Geographica Sinica, 2011,31(7): 823-828.] | |
[32] | 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.Journal of Huazhong Agricultural University(Social Sciences Edition),2014,(5):111-118.] | |
[33] |
Colwell P F,Sirmans C F.Area,time,centrality and the value of urban land[J].Land Economics,1978,54(4):514-519.
doi: 10.2307/3146175 |
[34] | Colwell P F,Sirmans C F.Nonlinear urban land price.Urban Geography,1980,(1):141-152. |
[35] |
Thorsnes P,Mcmillen D P.Land Value and Parcel Size: A Semiparametric Analysis[J].The Journal of Real Estate Finance and Economics,1998,17(3):233-244.
doi: 10.1023/A:1007772223239 |
[36] |
Ecker M D, Isakson H R.A unified convex-concave model of urban land values[J]. Regional Science and Urban Economics, 2015,35(3):265-277.
doi: 10.1016/j.regsciurbeco.2004.04.003 |
[37] |
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.
doi: 10.3969/j.issn.1001-8158.2007.05.011 |
[Luo Ganghui,Wu Cifang,Zheng Juaner.The Influence of Parcel Land Area on Housing Land Price.China Land Science,2007,21(5):66-69.]
doi: 10.3969/j.issn.1001-8158.2007.05.011 |
|
[38] | 薛在军, 马娟娟.ArcGIS 地理信息系统大全[M].北京:清华大学出版社,2013:460-461. |
[Xue Zaijun,Ma Juanjuan.ArcGIS geographic information system. Beijing:Tsinghua University Press,2013,460-461.] | |
[39] | Fotheringham A S, Brunsdon C, Charlton M.Geographically weighted regression: The analysis of spatially varying relationships[M].Hoboken:Wiley,2003:52-81. |
[1] | 辛晓华, 吕拉昌. 中国主要城市技术创新影响环境污染的空间分异与机理[J]. 地理科学, 2021, 41(1): 129-139. |
[2] | 闫东升, 孙伟, 孙晓露. 长江三角洲人口时空格局演变及驱动因素研究[J]. 地理科学, 2020, 40(8): 1285-1292. |
[3] | 魏宗财, 甄峰, 莫海彤, 刘晨瑜, 彭丹丽. 基于地理加权回归的中心城区共享单车出行特征及影响因素研究[J]. 地理科学, 2020, 40(7): 1082-1091. |
[4] | 曾冰. 基于NPP/VIIRS夜间灯光数据的湘鄂赣省际交界区县域经济空间格局及影响因素[J]. 地理科学, 2020, 40(6): 900-907. |
[5] | 王彬燕, 田俊峰, 施响, 王士君. 基于HLM和GWR的汪清县农村贫困成因探究[J]. 地理科学, 2020, 40(3): 409-418. |
[6] | 于洪雁, 王群勇, 张博, 刘继生. 中国旅游供需耦合协调发展的空间分异及驱动机制研究[J]. 地理科学, 2020, 40(11): 1889-1898. |
[7] | 顾康康,朱鹏祥,宁杨,汪斐. 基于绿色出行理念的合肥市区空气污染分区调控研究[J]. 地理科学, 2019, 39(8): 1312-1320. |
[8] | 徐维祥, 李露, 黄明均, 刘程军. 浙江县域“四化同步”与居民幸福协调发展的时空分异特征及其形成机制[J]. 地理科学, 2019, 39(10): 1631-1641. |
[9] | 李晓燕, 李慧颖, 满卫东, 毛德华, 王宗明. 哈长城市群城镇用地扩展进程及其驱动因素研究[J]. 地理科学, 2018, 38(8): 1273-1282. |
[10] | 吴连霞, 赵媛, 吴开亚, 郝丽莎, 王玉娟. 中国人口老龄化区域差异及驱动机制研究[J]. 地理科学, 2018, 38(6): 877-884. |
[11] | 关伟, 郝金连. 东北地区旅游经济影响因素时空特征研究[J]. 地理科学, 2018, 38(6): 935-943. |
[12] | 姜磊, 周海峰, 柏玲. 外商直接投资对空气污染影响的空间异质性分析——以中国150个城市空气质量指数(AQI)为例[J]. 地理科学, 2018, 38(3): 351-360. |
[13] | 杜会石, 哈斯额尔敦, 李爽, 赵艺源, 孙小旭. 科尔沁沙地风沙与湖泊景观演变及影响因素分析[J]. 地理科学, 2018, 38(12): 2109-2117. |
[14] | 杨俊, 鲍雅君, 金翠, 李雪铭, 李永化. 大连城市绿地可达性对房价影响的差异性分析[J]. 地理科学, 2018, 38(12): 1952-1960. |
[15] | 张晓瑞, 华茜, 程志刚. 基于空间句法和LBS大数据的合肥市人口分布空间格局研究[J]. 地理科学, 2018, 38(11): 1809-1816. |
|