基于ESDA和Hedonic模型的城市住宅地价空间分异研究——以石家庄市为例  

On Spatial Differentiation of Urban Residential Land Price Based on ESDA and Hedonic Model——Taking Shijiazhuang as an Example

作　　者：梁彦庆[1,2] 辛静梅 史思琪 梁丽英 葛京凤[1,2] LIANG Yan-qing;XIN Jing-mei;SHI Si-qi;LIANG Li-ying;GE Jing-feng(College of Resource and Environmental Science,Hebei Normal University,Shijiazhuang 050024,China;College of Tourism Department,Hebei Normal University,Shijiazhuang 050024,China;Lab of Environment Change and Ecological Construction of Hebei Province,Shijiazhuang 050024,China)

机构地区：[1]河北师范大学资源与环境科学学院,石家庄050024 [2]河北省环境演变与生态建设实验室,石家庄050024 [3]河北师范大学旅游系,石家庄050024

出　　处：《西南师范大学学报（自然科学版）》2018年第12期59-66,共8页Journal of Southwest China Normal University(Natural Science Edition)

基　　金：国家自然科学基金项目(41471090);河北省自然地理学省级重点学科项目(40871053);河北省自然科学基金项目(D2015205225);河北师范大学博士基金项目(L2016B14)资助

摘　　要：探究城市住宅地价空间分布差异及其影响因素,对加强城市地价宏观调控、促进城市土地利用的合理发展和科学化管理具有重要意义.运用探索性空间数据分析(ESDA)技术和特征价格(Hedonic)模型,以石家庄市2010—2014年出让住宅地价为研究对象,通过模拟地价的空间布局,分析了住宅地价的空间结构特征,并探讨了导致地价分异的原因.结果表明:石家庄住宅地价趋势线呈倒"U"型即由中心向四周圈层式递减;住宅地价分布存在区域差异,且具有一定的空间连续性和变异性;影响住宅地价的特征变量中距CBD距离、距北站距离、生活配套设施和公交站个数等9个变量对住宅地价影响较大,其中距CBD距离占比重最大,达17.33%;相比区位特征和个别特征来说,邻里特征对住宅地价影响最大.Explore the spatial distribution differences of urban residential land prices and their influencing factors,which is of great significance to strengthen the macro-control of urban land prices and promote the rational development and scientific management of urban land use.This research uses the ESDA techniques and the price model of Hedonic and chooses Shijiazhuang residential land prices from 2010 to2014 as the study project.It reveals the space distribution feature of land prices and finds the reasons of differences by simulating the spatial distribution of Shijiazhuang housing land prices.The results show that the trend line of Shijiazhuang residential land price is an inverted U-shaped and land prices decrease from the center to the periphery.The land prices exist regional difference and the distribution in space is not only continuity but also variation.The nine factors such as distance from the CBD,distance away from north station,living facilities and bus stations have a greater impact on residential land price.And the distance from CBD takes the largest proportion with 17.33%.Compared with the location characteristics and individual characteristics,neighborhood characteristics have the most influence on residential land price.

关 键 词：城市住宅地价 探索性空间数据分析 HEDONIC模型 空间结构 影响因素 

分 类 号：F293[经济管理—国民经济]