E3S Web Conf.
Volume 164, 2020Topical Problems of Green Architecture, Civil and Environmental Engineering 2019 (TPACEE 2019)
|Number of page(s)||6|
|Section||Urban Environmental Planning|
|Published online||05 May 2020|
Parametric clustering of cities
1 Peter the Great St. Petersburg Polytechnic University, Civil Engineering Institute, 195251 Polytechnicheskaya 29, St. Petersburg, Russian Federation
2 Moscow State University of Civil Engineering, 26, Yaroslavskoeshosse, 129337, Moscow, Russia
* Corresponding author: firstname.lastname@example.org
The article analyzes the master plans and functional areas of 42 cities from different federal districts of the Russian Federation. To identify the dependencies between the characteristics of localities and the allocation of functional zones in them, the data clustering method was applied. Also criteria for clustering were identified – these are quantitative characteristics that are universal for various localities: total area of a locality, population, population density and gross regional product. With these criteria clustering was carried out using the software package «Deductor», based on algorithms of neural network modeling. Self-organizing Kohonen maps (SOM) were used to visualize the obtained data. As a result of the clustering the connection between the characteristics of localities and the ratio of functional zones in them is revealed.
© The Authors, published by EDP Sciences 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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