Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
CHANGES IN THE POPULATION DISTRIBUTION AND TRANSPORT NETWORK OF SAINT PETERSBURG. / Xiaoling, L.; Anokhin, A.; Shendrik, A.; Chunliang, X.
в: Baltic Region, Том 8, № 4, 2016, стр. 75-77.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - CHANGES IN THE POPULATION DISTRIBUTION AND TRANSPORT NETWORK OF SAINT PETERSBURG
AU - Xiaoling, L.
AU - Anokhin, A.
AU - Shendrik, A.
AU - Chunliang, X.
PY - 2016
Y1 - 2016
N2 - 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,
AB - 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,
U2 - 10.5922/2074-9848-2016-4-4
DO - 10.5922/2074-9848-2016-4-4
M3 - Article
VL - 8
SP - 75
EP - 77
JO - Baltic Region
JF - Baltic Region
SN - 2079-8555
IS - 4
ER -
ID: 7644548