Evaluation of Comprehensive Performance Scorecard of State Transport Organizations Using Geometric Similarity-Based MCDM Methods

Abstract

The performance evaluation of State Road Transport Organizations (SRTUs) is essential for ensuring the effective delivery of public transportation services. This study presents a novel multi-criteria decision-making (MCDM) framework employing three geometric similarity-based ranking methods—Ranking by Alternatives Median Similarity (RAMS), Ranking the Alternatives using the Trace to Median Index (RATMI), and Ranking by Alternatives Perimeter Similarity (RAPS). The evaluation is structured around three key dimensions: Physical, Operational, and financial performance. Each dimension comprises a set of relevant indicators to capture the comprehensive functionality of SRTUs. By integrating these advanced ranking techniques, the study facilitates comparison of transport units, enabling more informed managerial decisions. The proposed methodology not only highlights the relative efficiency of different organizations but also provides insights into specific areas of improvement. The results demonstrate the robustness and discriminatory power of the geometric similarity-based methods in prioritizing and benchmarking public transport performance. The results of the geometric similarity based MCDM methods are compared with Multi Attributive Ideal-Real Comparative Analysis (MAIRCA) method