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Assessing long term capacity and demand in the rail sector

Assessing long term capacity and demand in the rail sector
Assessing long term capacity and demand in the rail sector
This paper describes research which aims to model British rail network demand and capacity up to 2100, as part of the Infrastructure Transitions Research Consortium (ITRC). ITRC is developing models and decision support tools to enable analysis and planning of a robust national infrastructure system in an uncertain future, and the research discussed here forms part of the transport model. This is a simulation model forecasting travel within and between 142 zones, with rail traffic measured on both a link and zonal basis. The rail link model forecasts the total number of trains per track between each pair of adjacent zones, with delays acting as a brake on demand as capacity utilisation increases. Total consumption of electric and diesel fuel will also be estimated, allowing interactions with the ITRC energy model. The rail zone model forecasts the number of passengers per station within each zone, with capacity enhancements incorporated via the addition of new stations. Together these models can be used to predict rail traffic, capacity utilisation and energy consumption under a range of future scenarios, and can thus help identify which strategies for future transport infrastructure provision have the best chance of being effective in practice
Blainey, Simon P.
ee6198e5-1f89-4f9b-be8e-52cc10e8b3bb
Preston, John M.
ef81c42e-c896-4768-92d1-052662037f0b
Blainey, Simon P.
ee6198e5-1f89-4f9b-be8e-52cc10e8b3bb
Preston, John M.
ef81c42e-c896-4768-92d1-052662037f0b

Blainey, Simon P. and Preston, John M. (2013) Assessing long term capacity and demand in the rail sector. 13th World Conference on Transport Research, Brazil. 14 - 17 Jul 2013.

Record type: Conference or Workshop Item (Paper)

Abstract

This paper describes research which aims to model British rail network demand and capacity up to 2100, as part of the Infrastructure Transitions Research Consortium (ITRC). ITRC is developing models and decision support tools to enable analysis and planning of a robust national infrastructure system in an uncertain future, and the research discussed here forms part of the transport model. This is a simulation model forecasting travel within and between 142 zones, with rail traffic measured on both a link and zonal basis. The rail link model forecasts the total number of trains per track between each pair of adjacent zones, with delays acting as a brake on demand as capacity utilisation increases. Total consumption of electric and diesel fuel will also be estimated, allowing interactions with the ITRC energy model. The rail zone model forecasts the number of passengers per station within each zone, with capacity enhancements incorporated via the addition of new stations. Together these models can be used to predict rail traffic, capacity utilisation and energy consumption under a range of future scenarios, and can thus help identify which strategies for future transport infrastructure provision have the best chance of being effective in practice

Full text not available from this repository.

More information

Published date: 15 July 2013
Venue - Dates: 13th World Conference on Transport Research, Brazil, 2013-07-14 - 2013-07-17
Organisations: Transportation Group

Identifiers

Local EPrints ID: 353652
URI: http://eprints.soton.ac.uk/id/eprint/353652
PURE UUID: 81f86259-75a1-4ed0-9346-d692933506f6
ORCID for Simon P. Blainey: ORCID iD orcid.org/0000-0003-4249-8110
ORCID for John M. Preston: ORCID iD orcid.org/0000-0002-6866-049X

Catalogue record

Date deposited: 13 Jun 2013 08:01
Last modified: 08 Jul 2020 00:30

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