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机构地区:[1]山东师范大学地理与环境学院 [2]北京师范大学地理科学学部
出 处:《城市问题》2020年第11期36-42,共7页Urban Problems
基 金:教育部人文社会科学研究青年基金项目(19YJCZH262)——“转型期中国产业新城职住空间关系演变及驱动机制研究”
摘 要:基于开源数据与统计资料,借助空间自相关及回归分析方法,在街道(乡镇)尺度上,对2000年以来北京新增公共服务资源与新增住房的空间匹配格局进行研究,结果表明:新增住房及公共服务资源的热点区均向远郊区转移,但转移路径和方式存在差异。新增公共服务资源与新增住房呈现一定的空间正相关,新增医疗服务资源与新增住房的空间匹配性较差。在局部匹配关系上,显著低—低区数量减少,显著低—高区从北五环地区向新城周边乡镇转移,显著高—高区和高—低区数量较少。新增公共服务资源布局受到新增住房与原有资源基础的影响,但对于不同的新增公共服务资源,两要素影响力的变动趋势不同,中小学学校建设逐渐打破了路径依赖,医院建设表现出愈发强烈的"马太效应"。Based on open source data and statistics,the spatial matching pattern of newly-increased basic education and medical service resources and newly-increased housing resources in Beijing metropolitan area since 2000 is explored on the scale of sub-district and township by means of spatial auto correlation and regression analysis methods. The results show that: The hot spots of both newly-increased public serviceresources andhousing resources have spread outward along the main traffic arteries,but the transfer path and manner are different. From the global perspective,there is a positive spatial correlation between newly-increased public serviceresources and newly-increased housing resources,but the spatial matching degree between newly-increased medical serviceresources and newly-increased housing resources is relatively lower. As for the bivariate local spatial correlation patterns of the two types of resources and newly-increased housing,the number of significant L-L regions has decreased continuously;the agglomeration area of significant L-H regionshas gradually transferred to the surrounding towns of the New Town from the north fifth ring area;the number of both significant H-H and H-L regions arerelativelyless. The main factors influencing the spatial distribution pattern of newly-increased public serviceresources are newly-increased housing and original resource base. However,the changing trends of the influence of the two factors are different for different resources.The construction of primary and secondary school has gradually broken the path dependence,while the hospital construction has shown more and more strong " Matthew effect".
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