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.
Published Version
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 callMore From: Transportation Research Part E: Logistics and Transportation Review
Disclaimer: 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.
