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多中心视角下的武汉市路网与经济活动空间关系分析
引用本文:周璐瑶,刘艳芳,刘耀林,银超慧,秦思娴. 多中心视角下的武汉市路网与经济活动空间关系分析[J]. 测绘地理信息, 2020, 0(2): 8-14
作者姓名:周璐瑶  刘艳芳  刘耀林  银超慧  秦思娴
作者单位:武汉大学资源与环境科学学院;武汉大学教育部地理信息系统重点实验室;武汉市测绘研究院
基金项目:国家自然科学基金(41771432)。
摘    要:探究道路网络与经济活动的空间关系对城市科学规划有促进作用。采用多中心评价模型测度武汉市路网情况,并结合核密度估计法和地理加权回归法探究武汉市路网多中心和经济活动多中心的空间分布情况及其相关关系。研究表明:武汉市路网和经济活动分布整体呈现出多中心分布形态;武汉市路网多中心与经济活动多中心存在较强的关联性,且其相关程度存在空间异质性,建议考虑要素空间差异进行科学规划。

关 键 词:道路网络中心性  经济活动  多中心  地理加权回归

Analysis of the Spatial Relationships Between Road Network and Economic Activities from the Polycentric Perspective in Wuhan
ZHOU Luyao,LIU Yanfang,LIU Yaolin,YIN Chaohui,QIN Sixian. Analysis of the Spatial Relationships Between Road Network and Economic Activities from the Polycentric Perspective in Wuhan[J]. Journal of Geomatics, 2020, 0(2): 8-14
Authors:ZHOU Luyao  LIU Yanfang  LIU Yaolin  YIN Chaohui  QIN Sixian
Affiliation:(School of Resources and Environmental Sciences,Wuhan University,Wuhan 430079,China;Ministry of Education Key Laboratory of Geographic Information System,Wuhan University,Wuhan 430079,China;Wuhan Geomatics Institute,Wuhan 430022,China)
Abstract:The exploration of spatial relationship between road network and economic activities will contribute to scientific urban planning.In this paper,the road network is measured by the Multiple Centrality Analysis Model(MCA),and the distribution of road network centers and economic activity centers is interpolated by the Kernel Density Estimation(KDE)method.Then the results using Geographically Weighted Regression(GWR)method reveal the correlation between the road network centers and the economic activity centers.The results show that:①Road network and economic activities show polycentric distributions as a whole in Wuhan;②There is a strong correlation which shows spatial heterogeneity between road centrality and economic activity centers,and it is recommended to take resource-related spatial heterogeneity into consideration in maximizing the benefits of development.
Keywords:road centrality  economic activity  polycentric  geographically weighted regression(GWR)
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