Issue |
MATEC Web Conf.
Volume 170, 2018
International Science Conference SPbWOSCE-2017 “Business Technologies for Sustainable Urban Development”
|
|
---|---|---|
Article Number | 05006 | |
Number of page(s) | 10 | |
Section | Transport System Management, Transport Modeling and Transport Planning | |
DOI | https://doi.org/10.1051/matecconf/201817005006 | |
Published online | 13 June 2018 |
Algorithms of data clustering in assessing the transport infrastructure of the region
1
Northern (Arctic) Federal University 163000, Arkhangelsk, nab. Severnaya Dvina, 17, Russia
2
Saint Petersburg State University of Architecture and Civil Engineering, Vtoraya Krasnoarmeiskaya str. 4. St. Petersburg, 190005, Russia
* Corresponding author: oly-popova@yandex.ru
The article presents the results of a complex analytical research of the region transport infrastructure. The authors propose the developed methodology for assessing the transport infrastructure in the region. The evaluation algorithm is based on consideration of individual municipal entities and their clustering by the Self-organizing maps. An example of approbation of the developed methodology in the Arkhangelsk region is given. As a result, we obtained a map showing clusters that unite municipal entities in homogeneous groups. Based on the results, a list of recommendations for the territorial development of each cluster was developed.
© The Authors, published by EDP Sciences, 2018
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. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.