Изменения в пространственном распределении населения и дорожной сети Санкт-Петербурга

The authors explores the interdependence between demographic changes and transport network centrality, using Saint Petersburg as an example. The article describes the demographic data for the period 2002—2015 and the transportation network data of 2006. The authors employ several methods of demograp...

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Main Authors: Xiaoling Li, Anokhin Anatolii A., Shendrik Alexander V., Chunliang Xiu
Format: Article
Language:Russian
Published: Immanuel Kant Baltic Federal University 2016-11-01
Series:Baltijskij Region
Subjects:
Online Access:https://journals.kantiana.ru/upload/iblock/55a/%D0%A1%D1%8F%D0%BE%D0%BB%D0%B8%D0%BD%D1%8C%20%D0%9B.,%20%D0%90%D0%BD%D0%BE%D1%85%D0%B8%D0%BD%20%D0%90.%20%D0%90.,%20%D0%A8%D0%B5%D0%BD%D0%B4%D1%80%D0%B8%D0%BA%20%D0%90.%20%D0%92.,%20%D0%A7%D1%83%D0%BD%D0%BB%D1%8F%D0%BD%20%D0%A1._53-77.pdf
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spelling doaj-a32c7929d31c44368d04ea2d7f5425bb2020-11-24T21:02:19ZrusImmanuel Kant Baltic Federal UniversityBaltijskij Region2074-98482310-05322016-11-0184537710.5922/2074-9848-2016-4-4Изменения в пространственном распределении населения и дорожной сети Санкт-ПетербургаXiaoling Li 0Anokhin Anatolii A.1Shendrik Alexander V. 2Chunliang Xiu3Northeast Normal UniversitySaint Petersburg State UniversitySaint Petersburg State UniversityNortheast Normal UniversityThe authors explores the interdependence between demographic changes and transport network centrality, using Saint Petersburg as an example. The article describes the demographic data for the period 2002—2015 and the transportation network data of 2006. The authors employ several methods of demographic research; they identified the centre of gravity of the population, produce the standard deviational ellipsis and use the kernel density estimation. The street network centrality of Saint Petersburg was analyzed using the Multiple Centrality Assessment Model (MCA) and the Urban Network Analysis Tool for ArcGIS. The analysis of the population distribution in Saint Petersburg shows that each area of the city has seen their population grow over the last thirteen years. However, it is the population of suburban areas that increased the most. The core area of the city has the tendency of outward diffusion, and the population gravity centre has been moving northwards. Spatial characteristics of the population growth, changes in the population gravity centre, the standard deviational ellipse and characteristics of the street network centrality show that Saint Petersburg is at the final stage of urbanization and its development pattern is similar to that of other major cities. https://journals.kantiana.ru/upload/iblock/55a/%D0%A1%D1%8F%D0%BE%D0%BB%D0%B8%D0%BD%D1%8C%20%D0%9B.,%20%D0%90%D0%BD%D0%BE%D1%85%D0%B8%D0%BD%20%D0%90.%20%D0%90.,%20%D0%A8%D0%B5%D0%BD%D0%B4%D1%80%D0%B8%D0%BA%20%D0%90.%20%D0%92.,%20%D0%A7%D1%83%D0%BD%D0%BB%D1%8F%D0%BD%20%D0%A1._53-77.pdfpopulation distributionpopulation densitystreet network centralitySaint Petersburg
collection DOAJ
language Russian
format Article
sources DOAJ
author Xiaoling Li
Anokhin Anatolii A.
Shendrik Alexander V.
Chunliang Xiu
spellingShingle Xiaoling Li
Anokhin Anatolii A.
Shendrik Alexander V.
Chunliang Xiu
Изменения в пространственном распределении населения и дорожной сети Санкт-Петербурга
Baltijskij Region
population distribution
population density
street network centrality
Saint Petersburg
author_facet Xiaoling Li
Anokhin Anatolii A.
Shendrik Alexander V.
Chunliang Xiu
author_sort Xiaoling Li
title Изменения в пространственном распределении населения и дорожной сети Санкт-Петербурга
title_short Изменения в пространственном распределении населения и дорожной сети Санкт-Петербурга
title_full Изменения в пространственном распределении населения и дорожной сети Санкт-Петербурга
title_fullStr Изменения в пространственном распределении населения и дорожной сети Санкт-Петербурга
title_full_unstemmed Изменения в пространственном распределении населения и дорожной сети Санкт-Петербурга
title_sort изменения в пространственном распределении населения и дорожной сети санкт-петербурга
publisher Immanuel Kant Baltic Federal University
series Baltijskij Region
issn 2074-9848
2310-0532
publishDate 2016-11-01
description The authors explores the interdependence between demographic changes and transport network centrality, using Saint Petersburg as an example. The article describes the demographic data for the period 2002—2015 and the transportation network data of 2006. The authors employ several methods of demographic research; they identified the centre of gravity of the population, produce the standard deviational ellipsis and use the kernel density estimation. The street network centrality of Saint Petersburg was analyzed using the Multiple Centrality Assessment Model (MCA) and the Urban Network Analysis Tool for ArcGIS. The analysis of the population distribution in Saint Petersburg shows that each area of the city has seen their population grow over the last thirteen years. However, it is the population of suburban areas that increased the most. The core area of the city has the tendency of outward diffusion, and the population gravity centre has been moving northwards. Spatial characteristics of the population growth, changes in the population gravity centre, the standard deviational ellipse and characteristics of the street network centrality show that Saint Petersburg is at the final stage of urbanization and its development pattern is similar to that of other major cities.
topic population distribution
population density
street network centrality
Saint Petersburg
url https://journals.kantiana.ru/upload/iblock/55a/%D0%A1%D1%8F%D0%BE%D0%BB%D0%B8%D0%BD%D1%8C%20%D0%9B.,%20%D0%90%D0%BD%D0%BE%D1%85%D0%B8%D0%BD%20%D0%90.%20%D0%90.,%20%D0%A8%D0%B5%D0%BD%D0%B4%D1%80%D0%B8%D0%BA%20%D0%90.%20%D0%92.,%20%D0%A7%D1%83%D0%BD%D0%BB%D1%8F%D0%BD%20%D0%A1._53-77.pdf
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