A Comparative Evaluation of Public Road Transportation Systems in India Using Multicriteria Decision-Making Techniques

Abstract

In this paper, we evaluate the performance of major public road transport organizations in India. The contribution of the paper lies in integrating four multicriteria decision-making (MCDM) techniques to assess the relative performance of public road transportation systems on twenty-three criteria across two consecutive years. The paper classifies the criteria into functional heads and establishes the relative importance of heads using the analytical hierarchical process (AHP). The efficiency scores of each organization referred to as a decision-making unit (DMU) were computed for the classified heads using the Data Envelopment Analysis (DEA) approach. The multicriteria optimization and compromise solution technique “VlseKriterijumska Optimizacija I Kompromisno Resenje” (VIKOR) was used to assign a final rank to each of the DMUs using computed efficiency scores and established weights. Finally, we analyzed the performance of the DMUs across the two consecutive years using the Malmquist Productivity Index (MPI). Our key findings are as follows: First, the performance of all DMUs has improved in the second year with respect to the first year; second, significant improvement is observed in the “expenses” functional head which carries a substantial weight among the functional heads; third, barring few DMUs, the performance of the majority of DMUs has worsened in the “accident” functional head; fourth, while few DMUs have been consistently very good performers in both the years, there are also few DMUs which have consistently performed poorly in both the years. The inferences drawn from the study can be leveraged for future policy formulations by the state government and local municipal corporations and for sharing best practices among the DMUs.

A Novel Multi-Attribute Decision-Making Method Based on Probabilistic Hesitant Fuzzy Soft Set and Its Application

“…Similarly, it can be obtained overall decision-making matrix H as shown in Table 8. Step 5: Specify the standard solution according to the positive ideal solution in Definition 2.7, and calculate the similarity between each scheme and the standard solution with formulas (5)∼ (7).…”

“…Multi-attribute decision-making based on soft sets refers to the decision-making problem of selecting the optimal alternative or ranking the alternatives when considering multiple attributes. At present, it is widely used in medical diagnosis [1,2] , environmental risk identification [3] , teaching quality assessment [4] , supplier selection [5] and other fields [6,7] . It can be seen that the main problems solved by multi-attribute decision-making are evaluation and selection [8,9] .…”

Pythagorean Fuzzy Based AHP-VIKOR Integration to Assess Rail Transportation Systems in Turkey

“…For example, the study of Celik et al [ 25 ] was presented because they introduced an approach, namely an integrated novel interval type-2 fuzzy TOPSIS and GRA method. In addition to those studies, Keyvan Ekbatani and Cats [ 26 ], Żak and Kruszyński [ 27 ], Nassereddine and Eskandari [ 28 ], Awasthi et al [ 29 ], Hamurcu and Eren [ 30 ], Kumar et al [ 31 ] and Seker and Aydin [ 32 ] evaluated PT using MCDM modeling frameworks. While Keyvan Ekbatani and Cats [ 26 ] included lexicographic, Simple Additive Weighting (SAW), a technique for order preference by similarity to the ideal solution (TOPSIS), and Concordance Analysis; Nassereddine and Eskandari [ 28 ] included the Delphi method, Group Analytic Hierarchy Process (GAHP), and preference ranking organization method for enrichment of evaluations (PROMETHEE).…”