A conceptual design for a national transport model with cross-sectoral interdependencies
A conceptual design for a national transport model with cross-sectoral interdependencies
This paper presents issues, trade-offs and challenges encountered while developing a UK national transport model as part of a large interdisciplinary project, ITRC MISTRAL. The Infrastructure Transitions Research Consortium (ITRC) is a consortium of seven leading UK universities focusing on analysis of national infrastructure systems using a system-of-systems approach. In this paper, we describe a multi-modal multi-scale national transport model being developed by ITRC which includes passenger and freight transport via highways, railways, airports, seaports and local transit networks. The model predicts future demand for each mode on individual flows using an elasticity-based simulation approach. These flows are then assigned to transport networks to assess infrastructure capacity utilisation and obtain new estimates of inter-zonal travel times. The model explicitly considers cross-sectoral interdependencies with other infrastructure networks, including the energy sector (where transport is the largest consuming sector), digital communications (which provide bandwidth to passengers and enable smart mobility), waste management (which requires transport services) and water supply (where flooding poses a major risk of transport disruptions). It is also planned to be capable of estimating environmental emissions and assessing the vulnerability and resilience to risk of transport systems. The enhanced transport model discussed here builds on an existing modelling framework which has been used by the UK government to inform their National Infrastructure Assessment. As such, the model has the potential to support policy making with regards to infrastructure investment on a decadal scale, under a range of possible future scenarios including population growth, new technologies and climate change.
720-727
Lovric, Milan
64a3c876-4d8f-442f-9062-6dc491c773d1
Blainey, Simon
ee6198e5-1f89-4f9b-be8e-52cc10e8b3bb
Preston, Jonathan
ef81c42e-c896-4768-92d1-052662037f0b
Lovric, Milan
64a3c876-4d8f-442f-9062-6dc491c773d1
Blainey, Simon
ee6198e5-1f89-4f9b-be8e-52cc10e8b3bb
Preston, Jonathan
ef81c42e-c896-4768-92d1-052662037f0b
Lovric, Milan, Blainey, Simon and Preston, Jonathan
(2018)
A conceptual design for a national transport model with cross-sectoral interdependencies.
Transportation Research Procedia, 27, .
(doi:10.1016/j.trpro.2017.12.150).
Abstract
This paper presents issues, trade-offs and challenges encountered while developing a UK national transport model as part of a large interdisciplinary project, ITRC MISTRAL. The Infrastructure Transitions Research Consortium (ITRC) is a consortium of seven leading UK universities focusing on analysis of national infrastructure systems using a system-of-systems approach. In this paper, we describe a multi-modal multi-scale national transport model being developed by ITRC which includes passenger and freight transport via highways, railways, airports, seaports and local transit networks. The model predicts future demand for each mode on individual flows using an elasticity-based simulation approach. These flows are then assigned to transport networks to assess infrastructure capacity utilisation and obtain new estimates of inter-zonal travel times. The model explicitly considers cross-sectoral interdependencies with other infrastructure networks, including the energy sector (where transport is the largest consuming sector), digital communications (which provide bandwidth to passengers and enable smart mobility), waste management (which requires transport services) and water supply (where flooding poses a major risk of transport disruptions). It is also planned to be capable of estimating environmental emissions and assessing the vulnerability and resilience to risk of transport systems. The enhanced transport model discussed here builds on an existing modelling framework which has been used by the UK government to inform their National Infrastructure Assessment. As such, the model has the potential to support policy making with regards to infrastructure investment on a decadal scale, under a range of possible future scenarios including population growth, new technologies and climate change.
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Accepted/In Press date: 31 May 2017
e-pub ahead of print date: 3 January 2018
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Local EPrints ID: 417159
URI: http://eprints.soton.ac.uk/id/eprint/417159
ISSN: 2352-1465
PURE UUID: 53d091fd-931a-41c0-967e-b9fd1516d536
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Date deposited: 22 Jan 2018 17:30
Last modified: 16 Mar 2024 05:36
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