用多标准方法分析COVID-19大流行第一阶段对意大利流动选择的影响

Q3 Engineering Transactions on Transport Sciences Pub Date : 2022-08-17 DOI:10.5507/tots.2022.013
T. Campisi, Sarbast Moslem, S. Duleba, Nurten Akgün Tanbay, Agnieszka Szmelter-Jarosz, G. Tesoriere
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引用次数: 1

摘要

COVID-19大流行造成了物流和流动性的变化。关于意大利的道路交通,在2020年3月至4月期间,轻型车辆和重型货车的交通量都有所减少。意大利是第一个实施全面封锁的欧洲国家,从3月9日开始,导致道路交通严重萎缩。本文探讨了2020年新冠肺炎大流行前后出行选择的主要差异。采用多准则决策方法对问卷调查数据进行分析。采用模糊层次分析法,综合考虑了公交、有轨电车、出租车、火车、共享汽车、多种出行方式、步行和汽车等8种出行方式。对意大利西西里岛居民的交通方式选择进行了评估。结果显示,在大流行的第一阶段,出行需求显著下降,尤其是公共交通方式。调查结果使人们更深刻地认识到,有必要执行战略,尊重大流行病产生的制约因素,重振受到惩罚的运输和与流动有关的部门。此外,研究结果为国家和地方决策者提供了宝贵的见解,了解封锁的流动性结果,并可作为未来规划限制的预测基准,以防出现另一种意想不到的现象,例如大流行。©2022作者。
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Analysis of the effects of the first phase of COVID-19 pandemic on mobility choices in Italy by a multi-criteria approach
COVID-19 pandemic has caused changes in logistics and mobility. Concerning Italian road mobility, between March and April 2020, there has been a reduction in traffic for both light vehicles and heavy goods vehicles. Italy was the first European country to implement a total lockdown, starting on March 9th, causing a deep contraction in road traffic. This paper explores the main differences in mobility choices before and after the COVID-19 pandemic in 2020. A multi-criteria decision-making method was selected for the analysis of questionnaire survey data. The fuzzy Analytic Hierarchy Process was applied, considering eight mobility types: bus, tram, taxi, train, shared vehicles, multiple modes, walking and car. An evaluation process was adopted for the modal mobility choices of the residents of Sicily, Italy. The results show a significant decline in mobility demand during the first phase of the pandemic, especially in public transport mode. The findings provide a deeper understanding of the need to implement strategies to respect the constraints generated by the pandemic and revive the penalised transport and mobility-related sectors. Furthermore, the study's findings provide valuable insights for the policymakers, both national and local, about the mobility results of the lockdown and can be used as a forecast benchmark for planning the restrictions in the future, in case of another unexpected phenomenon, e.g., pandemic. © 2022 The Author(s).
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来源期刊
Transactions on Transport Sciences
Transactions on Transport Sciences Environmental Science-Management, Monitoring, Policy and Law
CiteScore
1.40
自引率
0.00%
发文量
0
审稿时长
13 weeks
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