基于人口空间化的外来人口聚居区识别方法——以北京市海淀区为例

A Method of Identifying Floating Population Communities Based on Population Spatialization:A Case Study of Haidian District in Beijing

新时代背景下,外来人口聚居区是推进外来人口市民化进程的重要平台和促进城市空间一体化发展的关键区域。外来人口聚居区空间识别方法是开展外来人口聚居区相关研究的基础和前提。文章集成人口统计数据和高清遥感影像数据,构建了基于人口空间化的外来人口聚居区空间识别方法。基于此,以北京市海淀区为案例区,对社区尺度外来人口聚居区进行了识别,并采用分层抽样法对外来人口聚居区识别结果进行检验。检验结果表明,基于人口空间化的外来人口聚居区识别方法具有较高的有效性。

Under the background of the new era, the floating population community is an important platform for promoting floating population citizenization progress and a critical area for advancing urban space integration development. The method of identifying floating population communities is the foundation and premise of studies on floating population communities. Integrating demographic data and high-resolution remote sensing data, this study presents a method of identifying floating population communities based on population spatialization model. On this basis,taking Haidian district of Beijing as the case, this study identifies the floating population communities at the community scale and testes the identification results of floating population communities employing the stratified sampling method.The test result shows that the method of identifying floating population communities based on population spatialization model has high validity. This study provides technological support and methodological reference for the systematization and normalization of the studies on the floating population communities. Moreover, this study would provide scientific foundation for the government decisions on the floating population communities.