ArticleSustainable cities and society2022
Adapting Urban Transport Planning to the COVID-19 Pandemic: An Integrated Fermatean Fuzzy Model.
Article in Sustainable cities and society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Risk assessment based on a new decision-making approach with fermatean fuzzy sets.PeerJ. Computer science · 2025Article
- Fermatean fuzzy score function and distance measure based group decision making framework for household waste recycling plant location selection.Scientific reports · 2024Article
- Fermatean fuzzy distance and Sugeno-Weber operators-based SPC-MARCOS approach for sustainable supplier evaluation in the healthcare supply chain.Scientific reports · 2024Article
- Modeling the resilience of urban mobility when exposed to the COVID-19 pandemic: A qualitative system dynamics approach.Sustainable cities and society · 2023Article
- The impact of the COVID-19 pandemic on the behaviour of bike sharing users.Sustainable cities and society · 2022Article
- ANN-Based traffic volume prediction models in response to COVID-19 imposed measures.Sustainable cities and society · 2022Article
- Assessing the impact of mobility on the incidence of COVID-19 in Dublin City.Sustainable cities and society · 2022Article
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Authors and funding
4 authors.
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Abstract
The critical worldwide problem of adapting urban transport planning to COVID-19 is for the first time comprehensively addressed and solved in this study. It primarily aims to help transport planners increase the resilience of transport systems. Firstly, a multi-level decision-making hierarchy structure based on four main criteria and 17 sub-criteria is introduced for relevant stakeholders to provide a practical framework for assessing existing transport plans. Then, a three-stage integrated Fermatean fuzzy model for adapting urban transport planning to the pandemic is presented. The model hybridizes the method based on the removal effects of criteria (MEREC) and combined compromise solution (CoCoSo) method into a unique methodological framework under the Fermatean fuzzy environment. A case study provides decision-making guidelines on how to adapt transport plans to COVID-19 in the real-world context of Belgrade, Serbia. The research findings show that the pandemic significantly changed the priorities of transport planning strategies and measures. "Non-motorized travel" is now the best alternative since its numerous short-term measures lead to better transport service. The major advantages of the introduced model are higher flexibility and a more precise fusion of experts' preference information. The integrated Fermatean fuzzy model could be used for adapting other emerging problems to COVID-19.
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