论文标题
估计Covid19对铁路网络运输能力的影响
Estimating impacts of covid19 on transport capacity in railway networks
论文作者
论文摘要
由于Covid19危机，公共交通（PT）系统面临着新的挑战。关于限制性措施，例如物理距离和智能锁定后的乘客连续返回，可以预期明显缺乏运输能力。在本文中，使用数学乘客路线选择和火车调度模型来评估PT网络的运输能力。通过分析运输乘客的总数以及由此产生的链接和火车利用；解决了在容量限制下促进不同需求（例如物理距离）的网络能力。该分析在荷兰铁路网络上进行。结果表明，最多可以运输CoVID19的50％，而大多数火车将高度利用达到其最大职业。因此，与COVID19之前的正常情况相比，网络中明显更多的一部分正变得高度使用，导致系统更加拥挤和脆弱。
Due to the covid19 crisis, public transport (PT) systems are facing new challenges. Regarding restrictive measures such as physical distancing and the successive returning of passengers after the intelligent lockdown, significant lack of transport capacity can be expected. In this paper, the transport capacity of a PT network is assessed, using a mathematical passenger route choice and train scheduling model. By analysing the overall number of transported passengers and the resulting link and train utilization; the networks capabilities of facilitating different demands under capacity restrictions (e.g. physical distancing) are addressed. The analysis is performed on the Dutch railway network. The results show that at most 50% of the pre-covid19 demand can be transported, while most of the trains will be highly utilized reaching their maximum occupation. Thus, significantly more parts of the network are becoming highly utilized, leading to a more congested and vulnerable system than in normal conditions before covid19.
