MATEC Web Conf.
Volume 294, 20192nd International Scientific and Practical Conference “Energy-Optimal Technologies, Logistic and Safety on Transport” (EOT-2019)
|Number of page(s)||6|
|Section||Ecology of Rolling Stock and Objects of Transport Infrastructure|
|Published online||16 October 2019|
Diagnostics of the structural risk level in the sphere of waste management at Ukrainian railways
Lviv Polytechnic National University, Department of Foreign Trade and Customs, 79000, Lviv, Ukraine
* Corresponding author: email@example.com
The article focuses on the problem of the structural risk level diagnostics in the sphere of waste management at the railway transport objects. The specifics of the railway enterprises activity are the multi-vector business processes executed, which determines a significant nomenclature and volumes of formation, accumulation of wastes of different danger classes. A retrospective analysis of this problem on Ukrainian railways for 2007 – 2018 showed significant structural fluctuations both in terms of volume formation and in the costs and ecological payments for environmental protection in sphere of waste management. The method of sensitivity analysis, the peculiarity of which is to calculate the elasticity coefficients for determining the degree of environmental costs interaction in the field of waste management with the change of their components (capital investment, current costs, environmental tax and environmental services), is implemented. The corresponding elasticities for 2008 – 2018 showed a considerable variation of the most significant risk factors that were atypical for JSC “Ukrzaliznytsia” and 6 railways. The existing structure needs to be better diagnosed with a purpose of ensuring stability and predictability of environmental costs in order to reduce structural risk, rational environmental management and to ensure the ecology of rolling stock and objects of railway transport infrastructure.
© 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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