Multi-criteria analysis of cross-regional railways interconnection under the post COVID-19 pandemic crisis: A hybrid BWM-FAISM-DFS evaluation framework

Binxin Yang and Guangdong Wu

Transportation Research Part E: Logistics and Transportation Review, 2023, vol. 179, issue C

Abstract: The long COVID-19 has had devastating and continuous effects on cross-regional railways (CRRs), yet the relation between public health management and public transport efficiency is still not fully understood. To address this issue, this study incorporates the complex interconnected environment into demand–supply dynamics and develops a three-phase multi-criteria evaluation framework to establish the policy option library for promoting CRRs interconnection performance. This novel framework integrated the Best-Worst Method, Fuzzy Adversarial Interpretive Structure Modeling, and Depth First Search into a novel methodology under fuzzy linguistic terms. Besides, the framework was validated with the Dongguan-Yantian-Hong Kong sea-rail line case; structural hierarchy exploration was conducted as well. The findings show that it is the shocks from demand side (instead of shocks from supply side) that have the greatest impact on interconnection in the post-epidemic era. The optimal management path may lead to spillovers of production factors, requiring decision-makers to adjust input strategies with limited resources. This should be done according to the formation order of the demand–supply, demand-demand, and interconnected environment-interconnected environment components. This is the most significant insight of the proposed framework, which optimizes resource efficiency and provides extensive insights for decision-makers to further explore the reformation of public transportation development.

Keywords: Cross-regional railways; Interconnection; Post COVID-19 pandemic; Multi-criteria analysis; Best-worst method; Fuzzy adversarial interpretive structure modeling (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1016/j.tre.2023.103316

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