Simić Vladimir, Ivanović Ivan, Đorić Vladimir, Torkayesh Ali Ebadi
University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, 11010, Belgrade, Serbia.
School of Business and Economics, RWTH Aachen University, 52072 Aachen, Germany.
Sustain Cities Soc. 2022 Apr;79:103669. doi: 10.1016/j.scs.2022.103669. Epub 2022 Jan 6.
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.
本研究首次全面探讨并解决了使城市交通规划适应新冠疫情这一全球性关键问题。其主要目的是帮助交通规划者提高交通系统的恢复力。首先，为相关利益相关者引入了一个基于四个主要标准和17个子标准的多层次决策层次结构，以提供一个评估现有交通规划的实用框架。然后，提出了一个使城市交通规划适应疫情的三阶段综合费马模糊模型。该模型在费马模糊环境下，将基于标准去除效应（MEREC）的方法和组合折衷解（CoCoSo）方法融合到一个独特的方法框架中。一个案例研究提供了在塞尔维亚贝尔格莱德的实际背景下如何使交通规划适应新冠疫情的决策指南。研究结果表明，疫情显著改变了交通规划战略和措施的优先级。“非机动出行”现在是最佳选择，因为其众多短期措施能带来更好的交通服务。所引入模型的主要优点是具有更高的灵活性以及对专家偏好信息的更精确融合。该综合费马模糊模型可用于使其他新出现的问题适应新冠疫情。
