大城市内人口密度的差异,以确定人为负荷水平(以别尔哥罗德为例)

Pavel I. Razenkov, Andrey G. Kornilov
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摘要

居住区在城市规划结构中占有特殊的地位。建筑密度和房屋的楼层数对城市的建筑外观和人口的集中都有影响。然而,高人口密度表明对自然框架的巨大压力。本文的主要目的是显示别尔哥罗德市居民区内人口密度的差异和异质性。为了完成这项任务,开发了一种确定私营部门和高层建筑街区人口密度的方法。使用统计数据,将所有公寓楼的人口绘制在城市地图上,然后将城市划分为组成住宅区的多边形。本文提出了一种方法方法,允许考虑到住宅区的异质性-私营部门和高层建筑。由于有关于公寓大楼的登记居民人数和每户平均人口的统计资料,因此有可能以很高的准确率完成这项任务。本研究结果未考虑暂住者、外地学生等的迁移。研究期间确定的城市人口为333,692人,低于2020年人口普查的结果(339,978人);该研究的准确率为98.15%。更有可能的是,这种不准确是由于缺乏(或不及时更新)新建筑的统计信息。据此,绘制了人口密度图和人口分布图。由于城市环境的异质性和主要的定居模式,城市被划分为突出的区域。通过对地图资料的分析,揭示了人口集中与安置的特点。已经计算了私营部门和主要定居地区的人口的大致数目。
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Differentiation of population density within a large city to identify the level of anthropogenic load (on the example of Belgorod)
Residential areas occupy a special place in the planning structure of the city. The building density and the number of floors of houses have an impact on the architectural appearance of the city and the concentration of the population. However, the high population density indicates a significant pressure on the natural framework. The main objective of this article is to show the differences and heterogeneity of population density within the residential area of the city of Belgorod. To accomplish this task, a methodology for determining the population density in the private sector and blocks of high-rise buildings was developed. Using statistical data, the population of all apartment buildings is plotted on the map of the city, then, the city is divided into polygons that make up the residential area. The article proposes a methodological approach that allows taking into account the heterogeneity of the residential area – the private sector and high-rise buildings. The availability of statistical information on the number of registered residents of apartment buildings and the average size of a household made it possible to complete the task with a high percentage of accuracy. The results of this study do not take into account the migration of temporarily registered residents,students from othercities, etc. The population ofthecity, determined duringthestudy,was 333,692 people,which is lessthantheresult of the 2020 census (339,978 people); the accuracy of the study is 98.15%. More likely, this inaccuracy is due to the lack (or untimely updating) of the statistical information on new buildings. As a result, maps of population density and population distribution were constructed. The city is divided into areas that stand out due to the heterogeneity of the urban environment and the dominant mode of settlement. Through the analysis of the cartographic material, the features of the concentration and resettlement of the population were revealed. The approximate number of the population of the private sector and the main areas of settlement has been calculated.
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