POI与NPP/VIIRS夜光数据空间耦合关系下的城市空间结构分析——以武汉市主城区为例

城市兴趣点（POI）和夜光遥感影像能够直观反映城市社会经济等实体要素的空间分布特征，在城市空间结构研究中发挥着重要作用。本文首先选取长江中游城市群的典型城市代表——武汉市作为研究区，选用研究区2016年POI和NPP/VIIRS夜光遥感数据作为基础研究数据，采用GIS分析工具对POI数据进行了空间核密度分析；然后分别对POI核密度分析结果和NPP/VIIRS夜光遥感数据进行了空间网格化处理；最后采用双因素制图和栅格叠加分析方法对两类数据的空间耦合关系进行了探讨，并在此基础上进一步分析了城市空间结构特征。研究表明，武汉市POI数据和夜光遥感数据的空间耦合性整体较好，空间耦合相一致区域占比为82.15%；但POI数据和夜光遥感数据的空间耦合性在长江沿岸地区也存在部分差异，如硚口区、汉阳区夜光遥感数据和POI数据多以低—中的空间耦合模式为主，而青山区、武昌区和汉口区则多以中—低的空间耦合模式为主。武汉市作为中原城市群的核心城市之一，其城市内部空间结构与长江经济带发展关联密切，通过对POI和夜光遥感数据的空间耦合关系探讨，能够对武汉市空间实体要素的空间结构特征有更加深入的了解。本文结果可为沿江城市内部空间结构的研究提供一种崭新的视角。

Analysis of urban spatial structure based on spatial coupling between POI and nighttime data: a case study of main urban region in Wuhan

Urban points of interest (POI) and luminous remote sensing images can visually reflect the spatial distribution characteristics of urban social and economic entities, and play an important role in the study of urban spatial structure. Firstly, this paper selects the typical city representative of the middle reaches of the Yangtze River-Wuhan as the research area, selects the 2016 POI and NPP/VIIRS luminous remote sensing data of the study area as the basic research data, and uses the GIS analysis tool to carry out the spatial nuclear density analysis of the POI data. Then the POI nuclear density analysis results and NPP/VIIRS luminous remote sensing data are spatially meshed. Finally, the two-factor mapping and grid overlay analysis methods are used to explore the spatial coupling relationship between the two data, and further analysis is carried out the spatial structure of the city. The research shows that the spatial coupling of the POI data and the luminous remote sensing data in Wuhan is better overall, and the spatial coupling is consistent with the proportion of 82.15%. However, there are some differences in the spatial coupling between the two in the Yangtze River, such as the Qiaokou district. The remote sensing data and POI data of Hanyang district are mainly based on the low-medium spatial coupling mode, while the Qingshan district, Wuchang district and Hankou district are dominated by the medium-low spatial coupling mode. As one of the core cities of the central plains urban agglomeration, Wuhan's internal spatial structure is closely related to the development of the Yangtze River economic belt. Through the spatial coupling relationship between POI and luminous remote sensing data, the spatial structure characteristics of Wuhan spatial entity elements can be learn more deeply. This study can provide a new perspective for the study of the internal spatial structure of cities along the Yangtze River.