Title of article :
Efficiency Evaluation of Railway Freight Stations by Using DEA Approach
Author/Authors :
haghighi, davod iran railway organization - department of railway transportation planning, Isfahan, Iran , babazadeh, reza urmia university - faculty of engineering - department of industrial engineering, Urmia, Iran
Abstract :
Railway freight stations roles as junctures in which traffic processes can converge and diverge are of paramount importance. Numerous activities such as train formation, alighting and interchanging, technical checks are also done at these points. Due to the great importance of using railway infrastructures and rolling stocks facilities efficiently, the efficiency studies in this area are considered as a demanding task more than ever. Therefore, we implement a methodology based on data envelopment analysis to address this issue. The suggested methodology in this research can be used for measuring the efficiency of railway freight stations and ranking them by using DEA and Anderson Peterson methods. This methodology can be used for analyzing the relative ‘technical efficiency’ of railway freight stations to manage train stops regarding the current station capacity. We applied these models in a case study of the 12 busiest train stations in Isfahan railway to measure and rank their efficiency and assess the effect of traffic type on the results by using robust regression.
Keywords :
Railway freight stations , technical efficiency , Data envelopment analysis (DEA) , Robust regression
Journal title :
IJO: Iranian Journal of Optimization
Journal title :
IJO: Iranian Journal of Optimization