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缓解新冠疫情大流行后的驾驶量增加:关于出行方式份额、出行需求和公共交通运力的分析

Mitigating Increased Driving after the COVID-19 Pandemic: An Analysis on Mode Share, Travel Demand, and Public Transport Capacity.

作者信息

Ciuffini Francesca, Tengattini Simone, Bigazzi Alexander York

机构信息

Rete Ferroviaria Italiana, Rome, Italy.

Rete Ferroviaria Italiana, Bologna, Italy.

出版信息

Transp Res Rec. 2023 Apr;2677(4):154-167. doi: 10.1177/03611981211037884. Epub 2021 Aug 27.

Abstract

Reduced transit capacity to accommodate social distancing during the COVID-19 pandemic was a sudden constraint that along with a large reduction in total travel volume and a shift in activity patterns contributed to abrupt changes in transportation mode shares across cities worldwide. There are major concerns that as the total travel demand rises back toward prepandemic levels, the overall transport system capacity with transit constraints will be insufficient for the increasing demand. This paper uses city-level scenario analysis to examine the potential increase in post-COVID-19 car use and the feasibility of shifting to active transportation, based on prepandemic mode shares and varying levels of reduction in transit capacity. An application of the analysis to a sample of cities in Europe and North America is presented. Mitigating an increase in driving requires a substantial increase in active transportation mode share, particularly in cities with high pre-COVID-19 transit ridership; however, such a shift may be possible based on the high percentage of short-distance motorized trips. The results highlight the importance of making active transportation attractive and reinforce the value of multimodal transportation systems as a strategy for urban resilience. This paper provides a strategic planning tool for policy makers facing challenging transportation system decisions in the aftermath of the COVID-19 pandemic.

摘要

在新冠疫情期间,为适应社交距离要求而降低的公共交通运力是一个突然出现的限制因素,它与总出行量的大幅下降以及出行模式的转变一起,导致了全球各城市交通方式份额的急剧变化。人们主要担心的是,随着总出行需求回升至疫情前的水平,存在公共交通运力限制的整体交通系统运力将不足以满足不断增长的需求。本文基于疫情前的出行方式份额以及不同程度的公共交通运力下降情况,运用城市层面的情景分析方法,研究新冠疫情后汽车使用量可能的增加以及转向主动出行方式的可行性。文中展示了将该分析应用于欧洲和北美的部分城市样本的情况。要缓解驾车出行量的增加,需要大幅提高主动出行方式的份额,尤其是在疫情前公共交通客流量较大的城市;不过,鉴于短距离机动出行的比例较高,这种转变是有可能实现的。研究结果凸显了使主动出行具有吸引力的重要性,并强化了多模式交通系统作为城市韧性策略的价值。本文为新冠疫情后面临具有挑战性的交通系统决策的政策制定者提供了一个战略规划工具。

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