Applying cluster analysis to ranking the vulnerabilities of railway influence territory

Autor: Katin Viktor, Kosygin Vladimir, Akhtiamov Midkhat, Lutsenko Andrey
Jazyk: English<br />French
Rok vydání: 2019
Předmět:
Zdroj: MATEC Web of Conferences, Vol 265, p 02018 (2019)
Druh dokumentu: article
ISSN: 2261-236X
DOI: 10.1051/matecconf/201926502018
Popis: 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.
Databáze: Directory of Open Access Journals