A Super-Efficiency DEA Model with Preference to Evaluate Train Service Plan for High-Speed Railway

DOI

10.2991/ammsa-17.2017.6How to use a DOI?

Keywords

railway operation; evaluation method; DEA model; train service plan; high-speed railway

Abstract

We have developed and implemented a new method for evaluating train service plans. The basic idea of this super-efficiency DEA model with preference (SEP DEA) is to simultaneously consider the evaluation with selection of indicators, classification of indicators and indicator weight determination. The SEP DEA model is able to take into account the indicator preference and distinguish the difference in efficient service plans practically. The preferred DEA model, super-efficiency DEA model and SEP DEA model were respectively applied to evaluate three train service plans of Beijing-Guangzhou high-speed railway. We gave high weighs to the indicators of average travel time and ticket revenue. The results prove the new model could better distinguish the efficiency of all service plans and balance the input and output for the inefficient service plans. The new model is more suitable for the characteristics and the demand of real railway operation.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhenhuan He
AU  - Liwei Zhang
AU  - Lei Nie
AU  - Jianan Tong
PY  - 2017/05
DA  - 2017/05
TI  - A Super-Efficiency DEA Model with Preference to Evaluate Train Service Plan for High-Speed Railway
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
PB  - Atlantis Press
SP  - 26
EP  - 31
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-17.2017.6
DO  - 10.2991/ammsa-17.2017.6
ID  - He2017/05
ER  -