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Capacity utilisation and performance at railway stations

Capacity utilisation and performance at railway stations
Capacity utilisation and performance at railway stations
As railway traffic levels increase in Britain and elsewhere, improved understanding of the trade-offs between capacity provision/utilisation and service quality is increasingly important, as Infrastructure Managers and Railway Undertakings seek to maximise capacity provision while maintaining service reliability and punctuality. This is particularly true of the stations and junctions forming the nodes and capacity bottlenecks of railway networks, for which the relationships between capacity utilisation and performance are less well understood than for their intermediate links. Following work undertaken for the OCCASION project on the calculation of nodal Capacity Utilisation Indices, and on the application of these techniques to the recalibration of the Capacity Charge element of the Track Access Charges in Britain, one objective of the DITTO Rail Systems project is the further investigation of the relationship(s) between capacity utilisation and performance, as indicated by congestion-related reactionary delay levels at railway stations and junctions. Historic timetable and delay data for selected stations have been used to investigate these relationships, which take the expected form and tend to suggest lower maximum capacity utilisation levels for stations than for the links between them. Work is ongoing to develop these datasets and relationships further, and to identify suitable capacity utilisation upper limits.
187-205
Armstrong, John
5fafa91e-39c1-4d1d-a331-564558aaa638
Preston, Jonathan
ef81c42e-c896-4768-92d1-052662037f0b
Armstrong, John
5fafa91e-39c1-4d1d-a331-564558aaa638
Preston, Jonathan
ef81c42e-c896-4768-92d1-052662037f0b

Armstrong, John and Preston, Jonathan (2017) Capacity utilisation and performance at railway stations. Journal of Rail Transport Planning & Management, 7 (3), 187-205. (doi:10.1016/j.jrtpm.2017.08.003).

Record type: Article

Abstract

As railway traffic levels increase in Britain and elsewhere, improved understanding of the trade-offs between capacity provision/utilisation and service quality is increasingly important, as Infrastructure Managers and Railway Undertakings seek to maximise capacity provision while maintaining service reliability and punctuality. This is particularly true of the stations and junctions forming the nodes and capacity bottlenecks of railway networks, for which the relationships between capacity utilisation and performance are less well understood than for their intermediate links. Following work undertaken for the OCCASION project on the calculation of nodal Capacity Utilisation Indices, and on the application of these techniques to the recalibration of the Capacity Charge element of the Track Access Charges in Britain, one objective of the DITTO Rail Systems project is the further investigation of the relationship(s) between capacity utilisation and performance, as indicated by congestion-related reactionary delay levels at railway stations and junctions. Historic timetable and delay data for selected stations have been used to investigate these relationships, which take the expected form and tend to suggest lower maximum capacity utilisation levels for stations than for the links between them. Work is ongoing to develop these datasets and relationships further, and to identify suitable capacity utilisation upper limits.

Text
Capacity Utilisation and Performance at Railway Stations - Revised - Accepted Manuscript
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More information

Accepted/In Press date: 26 August 2017
e-pub ahead of print date: 14 September 2017
Published date: December 2017

Identifiers

Local EPrints ID: 413867
URI: http://eprints.soton.ac.uk/id/eprint/413867
PURE UUID: 471272b2-52d6-45a9-8b9e-095334d51f5c
ORCID for John Armstrong: ORCID iD orcid.org/0000-0002-2648-6307
ORCID for Jonathan Preston: ORCID iD orcid.org/0000-0002-6866-049X

Catalogue record

Date deposited: 08 Sep 2017 16:30
Last modified: 16 Mar 2024 05:42

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