Spatial representation of mobile operators’ data on pulsations of the Central Administrative District of Moscow population during 2019–2020 in the context of studying the vulnerability of the population to emergencies

R. Bobrovskiy, R. Babkin, Alexander Bereznyatskiy
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Abstract

The high concentration of residents of large cities in certain localities requires a rethinking of existing methods for assessing the vulnerability of the population to various types of threats and to ways of mapping them. Moscow, being a megalopolis and the center of the largest European agglomeration, forms a zone of an increased level of natural and man-made risk for citizens, primarily due to spatial concentration and mobility of the population. The risks are especially high for the central part of Moscow (in the work considered within the boundaries of the Central Administrative District—CAO). The high business and cultural and entertainment attractiveness of this part of the capital contributes to the highest gradients of pulsations of crowding within the daily and weekday-weekend cycles. The present study is devoted to the qualitative display of these changes. To obtain the most detailed spatio-temporal information, the data of mobile operators on the localization of subscribers aggregated for January 2019–January 2020 were used. The paper tests the approach of displaying changes in the density characteristics of the population of the territory of the CAO districts by superimposing information on a pallet of 500 by 500 meters consolidated for fractional (30 minutes) time intervals of data (median population for all days of the year, separately for weekdays, weekends, and holidays). It was shown that for the central part of the capital, the gradients of daily pulsations on weekdays reach 220–320 %, and on weekends — 120–160 %. At the same time, in contrast to the sleeping areas of the city, seasonal fluctuations are much weaker here. The concentration of various cultural and entertainment activities in such areas as Tverskoy, Arbat and Yakimanka leads to pronounced festive changes in crowding, which are about 50 % stronger than the standard weekend pulsations.
在研究人口对突发事件的脆弱性的背景下,移动运营商2019-2020年莫斯科中央行政区人口脉动数据的空间表示
大城市的居民高度集中在某些地方,这就需要重新考虑现有的评估人口对各种威胁的脆弱性的方法以及绘制这些威胁的方法。莫斯科作为一个特大城市和欧洲最大城市群的中心,主要由于人口的空间集中和流动性,为市民形成了一个自然和人为风险增加的区域。莫斯科中心地区的风险尤其高(在中央行政区- cao的边界内考虑的工作)。首都的这一部分具有很高的商业、文化和娱乐吸引力,在日常和工作日-周末周期内,拥挤的脉动梯度最高。本研究致力于这些变化的定性展示。为了获得最详细的时空信息,我们使用了2019年1月- 2020年1月移动运营商用户本地化数据。本文通过将信息叠加在500 × 500米的托盘上,以分数(30分钟)的时间间隔合并数据(全年所有天的人口中位数,工作日、周末和节假日分别),测试了显示CAO地区领土人口密度特征变化的方法。结果表明,首都中部地区的日脉动梯度在工作日达到220 - 320%,在周末达到120 - 160%。与此同时,与城市的睡眠区相比,这里的季节性波动要弱得多。在特维尔斯基、阿尔巴特和亚基曼卡等地区,各种文化和娱乐活动的集中导致了明显的节日拥挤变化,比标准的周末波动强50%左右。
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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来源期刊
CiteScore
0.90
自引率
0.00%
发文量
2
审稿时长
8 weeks
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