E3S Web Conf.
Volume 233, 20212020 2nd International Academic Exchange Conference on Science and Technology Innovation (IAECST 2020)
|Number of page(s)||5|
|Section||NESEE2020-New Energy Science and Environmental Engineering|
|Published online||27 January 2021|
New method for allocating high-speed railway infrastructure costs among train types
School of Economics and Management, Beijing Jiaotong University, 100044, Beijing, China.
* Corresponding author: email@example.com
With the rapid development of China's high-speed railway (HSR), there are also many problems. For example, in the classification and calculation of HSR transportation costs, there is a lack of reasonable cost statistical methods. There are many types of high-speed train currently running on HSR (mainly G and D trains). There are differences in the speed, load and energy consumption of different types of trains. The resulting infrastructure usage costs also vary. However, all train costs are classified and calculated uniformly in practice. This paper proposes the expenditure rate method of the transport process allocating the infrastructure use costs among types of trains. Based on data from the Beijing-Shanghai high-speed railway, the cost of infrastructure is calculated, and the calculation results can reasonably reflect the cost allocation among types of trains. It makes the cost calculation of high-speed railway more accurate and lays a foundation for environmental cost calculation.
© The Authors, published by EDP Sciences 2021
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.
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.