Issue |
MATEC Web Conf.
Volume 216, 2018
X International Scientific and Technical Conference “Polytransport Systems”
|
|
---|---|---|
Article Number | 01008 | |
Number of page(s) | 8 | |
Section | Infrastructure Projects and Transport Infrastructure Facilities | |
DOI | https://doi.org/10.1051/matecconf/201821601008 | |
Published online | 17 October 2018 |
Estimation of the life cycle cost of the upper railway track structure
Siberian Transport University, 630049 Novosibirsk, Russia
* Corresponding author: pavelst07@mail.ru
The length of tracks with excess tonnage was 14% in the territory of the Russian Federation in 2007, and it reached 20% by 2017. Removal of these restrictions is possible due to modernization of the upper railway track structure (URTS) with increasing its durability and lowering of the life cycle cost (LCC). The purpose of the study is building the LCC estimation model. This model includes the structure of the URTS, the categories and elements of the costs for its maintenance, identification (estimation) of costs, algorithms for their calculation. The average annual LCC of 1 km of the URTS includes the cost of reconstruction, maintenance, intermediate repairs, elimination of consequences of road failures and disposal in the form of the return value of old URS elements. The developed methodology was tested on the actual data of one of the sections of the West Siberian Infrastructure Directorate. The analysis of the obtained data made it possible to conclude that the adopted model of calculating the LCC of URTS adequately displays the categories and elements of the costs for maintenance of the railway track, their specific share in the LCC.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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.