Challenges for Adapting High-speed Rail Network in Developing Countries: A Picture Fuzzy MCDM based Approach

Aditi Biswas; Kamal Hossain Gazi; Sankar Prasad Mondal; Arijit Ghosh

doi:10.31181/dma0002026123

Authors

Aditi Biswas Department of Basic Science and Humanities, Greater Kolkata College of Engineering & Management, Baruipur 743387, West Bengal, India https://orcid.org/0009-0001-1972-6536
Kamal Hossain Gazi Department of Applied Mathematics, Maulana Abul Kalam Azad University of Technology, West Bengal, Haringhata 741249, West Bengal, India https://orcid.org/0000-0001-7179-984X
Sankar Prasad Mondal Department of Applied Mathematics, Maulana Abul Kalam Azad University of Technology, West Bengal, Haringhata 741249, West Bengal, India https://orcid.org/0000-0003-4690-2598
Arijit Ghosh Department of Mathematics, St. Xavier’s College (Autonomous), Kolkata 700016, West Bengal, India https://orcid.org/0000-0001-7200-4180

DOI:

https://doi.org/10.31181/dma0002026123

Keywords:

High-speed rail network, Developing countries, Picture fuzzy, MCDM, DEMATEL

Abstract

High-speed rail adoption in developing countries faces challenges for several reasons. Our research work identifies the most impactful challenges of it. It is an extremely demanding work. It mainly depends on several factors, including high capital costs and financing issues, the purchase of land and resettlement, political instability that affects policy continuity, maintenance and operating costs, the current market value, technology and technical skills, and the impact on both the environment and human society. In this study, the proposed adoption challenges for high-speed rail networks in developing countries are constructed and processed using the Multi-Criteria Decision Making (MCDM) process in an uncertain environment. Here, we apply the Fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) technique-based MCDM methodology to evaluate the criteria weights. We gather valuable opinions from three decision-makers (DMs) for data collection. Picture Fuzzy Numbers (PFNs) are utilised as uncertainty tools to address ambiguity.

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