Changes in the Population Distribution and Transport Network of Saint Petersburg

Xiaoling Li, Anokhin Anatolii A., Shendrik Alexander V., Chunliang Xiu

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DOI:

10.5922/2079-8555-2016-4-4

population distribution population density street network centrality Saint Petersburg

Abstract

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.

1. Druzhinin, A. G. 2014, Mother countries and metropolisation in contemporary Russia: conceptual approaches in political and geographical contexts, Izv. RAN. Ser. geogr, no. 1, p.19—27. (In Russ.)

2. Lachininskij, S. S., Semenova, I. V. 2015, Sankt-Peterburgskij primorskij region: geoehkonomicheskaya transformaciya territorii [St. Petersburg coastal region:geo-economic transformation of the territory], St. Petersburg. (In Russ.)

3. Database of indicators of municipalities of St. Petersburg, available at: http://petrostat.gks.ru (accessed 03.04.2015). (In Russ.)

4. Open Street Map Project data, available at: http://beryllium. gis-lab. info (accessed 03 April 2016).

5. Official web site of Administration of St. Petersburg, available at: http://gov.spb.ru (accessed 03 April 2016).

6. Development of capacity of the city of St. Petersburg, available at: http://csrnw.ru (accessed 03 April 2016) (In Russ.)

7. Chen, Chen，Wang, Fa Hui，Xiu, Chun Liang, 2013, The Relationship Between the Spatial Distribution of Commercial Networks and Street Centrality, Changchun. Economic Geography, Vol. 33, no. 10, p. 40—47.

8. Meng, Yan Chun, Tang, Cang Song, 2015, Study on the Trend of Population Spatial Distribution in Being since the Reform and Opening-up:Based on Analyzing the Data of Four Population Census from 1982 to 2010, China Population, Resources and Environment, Vol. 25, no. 3, p. 135—142

9. O’Sullivan, D, Unwin, D. 2003, Geographic Information Analysis, New York, JohnWiley&Sons.

10. Plane, D. A., Rogerson, P. A. 2003, The Geographical Analysis of Population: With Applications to Planning and Business [M], New York, JohnWiley&Sons.

11. Porta, S., Latora, V., Wang, F. H. 2009, Street centrality and densities of retail and services in Bologna, Italy[J], Environ. Plan. B：Plan, no. 12(36), p. 450—465.

12. Qianqian, T., Kaiyu, L., Meiyue, L. 2015, Research on Optimization Strategy of the Urban Spatial Form under the Perspective of Low Carbon—A Case Study of Xi’an city [J], Journal of Low Carbon Economy, no. 4(3), p. 21—27.

13. Timothée, P，Nicolas, L B，Emanuele, S. et al. 2010, A Network Based Kernel Density Estimator Applied to Barcelona Economic Ac-tivities [J], Computational Science and Its Applications, Vol. 6, no. 16, p. 32—45.

14. XU, Xueqiang, Zhu, Jianru, 1988, Contemporary urban geography, China Architecture & Building Press, Beijing.

15. Zeng, Wen, Zhang, Xiao lin, Xiang, Lili et al. 2016, The Features of Population Redistribution of Nanjing Metropolitan Area in 2000—2010, Scientia Geographica Sinica, no. 01, p. 81—89.

16. University of Strathclyde. Urban Design Studies Unit / Multiple Centrality Assessment Model (MCA), available at: http://www.udsu-strath.com/msc-urbandesign/2012-2013/analysis-2012-2013/mca-multiple-centrality-asse... (accessed 03 April 2016).

17. City Form Lab. Urban Network Analysis Tool for ArcGIS, available at: http://cityform.mit.edu/projects/urban-network-analysis (accessed 03 April 2016).

18. Arc GIS Pro. How Kernel Density Works, available at: https://pro.arcgis.com/en/pro-app/tool-reference/spatial-analyst/how-kernel-density-works.htm (accessed 03 April 2016).