Abstract
Railway transportation is the backbone of the economy significantly influences mobility and life quality in many developed and developing countries. Railway infrastructure investment problems are inherently complex and involve multiple and often conflicting criteria in an uncertain socio-economic environment. This study presents an integrated rough group FUll COnsistency Method (FUCOM) and Multi-Atributive Ideal-Real Comparative Analysis (MAIRCA) method for railway infrastructure project evaluation and prioritization. The FUCOM method evaluates the selection criteria through a simple algorithm, and the MAIRCA method prioritizes alternative projects through structured and systematic mathematical computations. Sensitivity analysis measures the impact of the criteria weights on the final results. Spearman's rank correlation coefficient assesses the effect of criteria weight variations on alternative rankings' stability. This study's main contribution is developing and implementing a comprehensive and robust framework for ex-ante evaluation and prioritization of railway infrastructure projects. A case study in Serbian Railways demonstrates the proposed integrated framework's applicability and efficacy in evaluating the railway infrastructure projects for Serbian Railways.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
