长途铁路客运中激进的时刻表创新:这些创新会如何影响铁路客运需求?

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-01-01 DOI:10.1016/j.jpubtr.2024.100090
Fabian Stoll, Nils Nießen, Bastian Kogel
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引用次数: 0

摘要

20 世纪 70 年代和 80 年代,荷兰和瑞士安装了所谓的综合定期时刻表(IPT),并逐步加以改进。在对以前的列车服务进行大规模改革后,铁路客运需求显著增加。最近,德国铁路网也决定进行类似的时刻表创新。然而,该项目对总体需求的影响尚不确定。为了解决这个问题,我们提出了一种基于弹性的长途客运需求预测方法,并将其应用于已改为 IPT 的模型化铁路网路段。大量旅行时间的减少被认为是需求增长的最重要因素,其次是列车班次的增加和模型化票价系统的变化对需求的影响。影响全国铁路客运需求的其他因素是可以想象的,但很难一概而论。
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Radical timetable innovations in long-distance railway passenger transport: How might these affect railway passenger demand?

The positive impact of coordinated timetable innovations throughout national railway networks has been shown exemplarily in the 1970 s and 80 s, when so-called integrated periodic timetables (IPT) were installed in the Netherlands and in Switzerland and then gradually improved. After large-scale changes of the former train offer, rail passenger demand increased significantly. A similar timetable innovation was recently decided for the German railway network. However, the project’s impact on overall demand is uncertain. To approach this question, an elasticity-based forecast of long-distance passenger demand is proposed and adopted to a modelized railway network section that has changed to an IPT. Massive travel time reductions turned out as the most important factor for demand growth followed by demand effects due to the increase of train frequency and changes of a modelized ticket price system. Additional factors influencing nationwide rail passenger demand are conceivable but difficult to generalize.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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