Cities of the Moscow Capital Region: official and real

A. Makhrova, R. Babkin
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引用次数: 1

Abstract

The article considers methodological approaches and criteria for the delimitation of urban settlements within larger metropolitan areas by the case of Moscow region. It is shown that the techniques using mobile operator data provide good results for the identification of “true” cities. It allows to identify a city in its “physical” borders by 500x500 m cells as a lowest territorial unit and more correctly reflect the number of the population. The most applicable method turned out to be based on the indicators of the population of continuous built-up areas of over 15 thousand people and population density of over 1000 people/km2. As an additional criterion the existing and former borders of settlements are taken into account that despite their subjective nature, perform a barrier function. According to the proposed methodology, 92 “true” cities were allocated in Moscow region against 76 existing cities (outside former borders of Moscow). These, along with some of the official cities, included large urban-type settlements and villages, abolished cities and towns, as well as conglomerates of several small settlements, including those in New Moscow. The belt-sector structure of “real” cities distribution duplicates the pattern of the urban settlement network with higher concentration in nearest suburbs and in eastern sector of the region. As well as for the official cities of the region, Rosstat underestimates population for centers located up to 40 km from the MKAD, and overestimates it in more remote cities.
莫斯科首都地区的城市:官方和真实
本文以莫斯科地区为例,考虑了在较大都市区内划分城市住区的方法方法和标准。结果表明,利用移动运营商数据的技术对“真实”城市的识别提供了良好的结果。它允许在其“物理”边界上以500x500米的小区作为最低的领土单位来识别城市,并更准确地反映人口数量。以连续建成区人口超过1.5万人、人口密度超过1000人/km2为指标,是最适用的方法。作为一项附加标准,考虑到现有和以前的定居点边界,尽管它们具有主观性质,但起着屏障作用。根据拟议的方法,在莫斯科地区分配了92个“真正的”城市,而现有的76个城市(在莫斯科以前的边界之外)。这些城市,连同一些官方城市,包括大型城市型定居点和村庄,废除的城市和城镇,以及几个小定居点的联合企业,包括新莫斯科的那些。“真正的”城市分布的“带-扇区”结构复制了城市聚落网络的格局,但更集中于最近的郊区和区域的东部。对于该地区的官方城市,俄罗斯统计局低估了距离MKAD 40公里以内的中心城市的人口,而高估了更偏远城市的人口。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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