首页|基于POI数据的西安市多中心空间结构演变特征与驱动因素研究

基于POI数据的西安市多中心空间结构演变特征与驱动因素研究

Evolution characteristics of multi-center spatial structure in Xi'an city and driving factors:A POI data-based analysis

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有效地认知城市空间结构演变特征与驱动因素是城市空间结构优化提升的重要途径,对推动城市高质量发展有着重要意义.以西安市城六区为研究区域,利用2011、2016、2021三年的POI数据,运用空间分析法、地理探测器、地理加权回归等方法探究多中心结构演变特征与驱动因素.结果表明:西安市城六区总体空间结构"多核"发展态势明显,主次中心分布呈"面状蔓延+多点辐射"的放射型发展格局;不同职能类型的城市中心的发展状况、空间聚集度、分布特征存在明显差异;西安市发展重心向北移动,虽呈扩散发展态势,但内部集聚度仍较强;西安市多中心空间结构的形成受到自然历史、经济社会、交通和政策等多因素综合影响.研究结果在帮助地方政府优化城市空间发展格局的同时,可以为中国经济社会转型背景下的其他城市区域发展提供参考.
Effectively recognizing the evolution characteristics and driving factors of the urban spatial structure is an important way to optimize and improve the urban spatial structure,which is of great significance to promote the high-quality urban development.Taking the six districts of Xi'an as the research area,using the POI data of 2011,2016 and 2021,the evolution characteristics and driving factors were analyzed by using spatial analysis,geographical detector and geographical weighted regression.The results show that the overall spatial structure of six districts of Xi'an is characterized by"multi-core",showing the radial development pattern of"surface spread+multi-point radiation".There are obvious differences among different functional types in development status,spatial concentration and distribution characteristics.The center of development moves northward,but the internal concentration is still strong.The formation of multi-center spatial structure in Xi'an is influenced by multiple factors such as natural history,economic society,traffic and policy.The research results can not only help local government to optimize the urban spatial development pattern,but also provide reference for the development of other urban regions under the background of China's economic and social transformation.

urban spatial structuremulti-centerPOI dataevolution characteristicsdriving factors

兰峰、林振宇、黄歆

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西安建筑科技大学管理学院,西安 710055

城市空间结构 多中心 POI数据 演变特征 驱动因素

国家自然科学基金

71874136

2023

干旱区资源与环境
中国自然资源学会干旱半干旱地区研究委员会 内蒙古农业大学

干旱区资源与环境

CSSCICSCDCHSSCD北大核心
影响因子:1.492
ISSN:1003-7578
年,卷(期):2023.37(11)
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