城市居住人口空间分布的模拟研究——以广州市天河区为例

发布时间：2019-08-17 08:47

【摘要】：为解决以行政区为单位的人口数据空间表示法无法准确反映人口实际分布的问题,文章以广州市天河区为例,利用高分辨率遥感影像数据,采用面向对象法对建筑进行提取和分类,并结合广州市土地利用现状图对分类结果进行验证和修订。在此基础上,利用土地利用密度法估算研究区各街道居住建筑的人口密度,并采用格网法进一步构建城市人口空间分布模型模拟城市居住人口的空间分布。结果表明,广州市天河区的人口主要集中在广园快速公路以南的带状区域内,中心商业区和工业密集区的人口密度最大,主干道附近区域的人口密度显著大于其他区域;距离城市中心较远的新塘、凤凰、长兴、龙洞等街道的人口密度整体偏低,模拟结果与研究区的实际情况相符。文章采用的数据可获得性强,操作方法简单,估算精确度高;研究提高了建筑解译和分类的效率,真实地反映了城市人口的空间分布特征,建模方法和研究思路具有一定推广意义。
[Abstract]:In order to solve the problem that the spatial representation of population data in administrative regions can not accurately reflect the actual distribution of population, this paper takes Tianhe District of Guangzhou as an example, uses high-resolution remote sensing image data, adopts object-oriented method to extract and classify buildings, and verifies and modifies the classification results in combination with the present land use map of Guangzhou. On this basis, the population density of residential buildings in each street of the study area is estimated by using the land use density method, and the spatial distribution model of urban population is further constructed by using grid method to simulate the spatial distribution of urban residential population. The results show that the population density of Tianhe District in Guangzhou is mainly concentrated in the banded area south of Guangyuan Expressway, and the population density in the central business district and industrial dense area is the highest, and the population density in the area near the main road is significantly higher than that in other areas, and the population density in Xintang, Phoenix, Changxing, Longdong streets far from the city center is low as a whole, and the simulation results are consistent with the actual situation in the study area. In this paper, the data are available, the operation method is simple, and the estimation accuracy is high. The research improves the efficiency of architectural interpretation and classification, and truly reflects the spatial distribution characteristics of urban population. The modeling method and research ideas have certain popularization significance.
【作者单位】：中国科学院广州能源研究所;中国科学院研究生院;
【基金】：国家青年科学基金项目(41001048)
【分类号】：C922

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