covid19对铁路网运输能力影响的评估
Estimating impacts of covid19 on transport capacity in railway networks
摘要：
由于新冠肺炎危机，公共交通（PT）系统面临着新的挑战。至于限制性措施，例如实际距离及智能封锁后乘客陆续返回，预计运输能力将严重不足。在本文中，运输能力的PT网络进行评估，使用的数学客运路线选择和训练调度模型。通过分析运输乘客的总人数和由此产生的链路和训练利用率，网络的能力，以促进不同的需求下容量限制（如物理距离）的解决。该分析是在荷兰铁路网上进行的。结果表明，最多可以运输2019冠状病毒病前需求的50%，而大多数列车将得到高度利用，达到最大占用率。因此，网络的更多部分正变得高度利用，导致系统比Covid之前的正常情况更加拥挤和脆弱19。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
