Evaluation and ranking of rail freight and passenger transportation in same Asian countries with new method in Data Envelopment Analysis

Alireza Salehi, Farhad Hosseinzadeh Lotfi, Mohsen Rostamy Malkhalifeh

Abstract


Rail transportation plays an important role in one country's economic development. Therefore, many researchers have focused attention on the measurement of efficiency and ranking in the rail transportation industry. Evaluating organizational performance can produce significant effects on the organization’s activities. Data Envelopment Analysis (DEA) is a mathematical programming method, which measures the relative efficiency of the organizational units, which have multiple inputs and outputs. In this paper, we proposed a method for ranking all the Decision Making Units (DMUs) that is based on strong and weak supporting hyperplanes. As an applied project, we evaluate rail freight and passenger transportation in some Asian countries. The ranking is based on data from the International Union of Railways (UIC) in 2016.


Keywords


Data Envelopment Analysis (DEA), ranking, Rail transportation, Decision Making Units (DMUs), strong supporting hyperplanes.

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