MATEC Web Conf.
Volume 265, 2019International Geotechnical Symposium “Geotechnical Construction of Civil Engineering & Transport Structures of the Asian-Pacific Region” (GCCETS 2018)
|Number of page(s)||7|
|Section||Geotechnics for Roads, Railways, Airfields and Waterways|
|Published online||30 January 2019|
Applying cluster analysis to ranking the vulnerabilities of railway influence territory
Far Eastern State Transport University, Khabarovsk, Russia
2 Computer Center of Far-Eastern Branch of Russian Academy of Sciences, Khabarovsk, Russia
* Corresponding author: email@example.com
The article considers the proprietary method of ranking the territory of the railway influence, based on the use of vulnerability matrices and application of cluster analysis, which allows optimizing the decision-making process for responding to emergencies associated with rail transport. The "point" ranking of vulnerabilities in the zone of railway influence was used for more accurate information on the events with applying the identity matrices of vulnerabilities. The partition cell is taken as a single "point". The method is based on the ranking of ecological, economic, environmental, bioresource and cultural significance of the territory by means of defining identical matrices of vulnerabilities that describe each point of the event. The partition cells were grouped into three clusters: moderately vulnerable territory, highly vulnerable territory and extremely vulnerable territory. The result of using the method was the compiling of vulnerability ranking maps.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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