Using Land Use and Transportation Interaction (LUTI) models to determine land use effects from new vehicle transportation technologies: a regional scale of analysis
Using Land Use and Transportation Interaction (LUTI) models to determine land use effects from new vehicle transportation technologies: a regional scale of analysis
Advances in automotive engineering have brought about a range of new vehicle technologies, such as automation, connectivity and electrification, which are expected to have multiple effects on different aspects of people's lives and have the potential of radically transforming the transportation status quo. This paper explores the effects that such new technologies can have on land use by employing a Land Use and Transportation Interaction (LUTI) modelling approach. A new methodology is developed to simulate the effects of automation, connectivity and electrification on accessibility and to conduct a sensitivity analysis. The analysis is carried out on a regional scale to determine the effects of the new technologies on multiple cities that form a region. The case study for this application is the region of the West Midlands (UK). The results suggest that new vehicle technologies can affect accessibility, population and employment in the cities of the region, the region itself, as well as the peripheral zones beyond the boundary of the region in a 15-year modelling period. Most notably, the two main urban cores of the region are found to not lose their financial power, despite increases in employment opportunities and population density in more rural outskirts. The increased accessibility also results in the relocation of lower-income households to places with lower housing rent. The sensitivity analysis shows that these findings are mostly impacted by changes in road capacity (which is expected to be generally higher as a result of these new technologies), as well as different penetration levels in the fleet.
Automation, Connectivity, Electrification. LUTI, West Midlands
91-111
Sarri, Paraskevi
e98f6411-7e5e-4ffb-bd53-813598a6356a
Kaparias, Ioannis
e7767c57-7ac8-48f2-a4c6-6e3cb546a0b7
Preston, John
ef81c42e-c896-4768-92d1-052662037f0b
Simmonds, David
4f536cba-94b6-4066-ad92-dfba539fd9a8
1 May 2023
Sarri, Paraskevi
e98f6411-7e5e-4ffb-bd53-813598a6356a
Kaparias, Ioannis
e7767c57-7ac8-48f2-a4c6-6e3cb546a0b7
Preston, John
ef81c42e-c896-4768-92d1-052662037f0b
Simmonds, David
4f536cba-94b6-4066-ad92-dfba539fd9a8
Sarri, Paraskevi, Kaparias, Ioannis, Preston, John and Simmonds, David
(2023)
Using Land Use and Transportation Interaction (LUTI) models to determine land use effects from new vehicle transportation technologies: a regional scale of analysis.
Transport Policy, 135, .
(doi:10.1016/j.tranpol.2023.03.012).
Abstract
Advances in automotive engineering have brought about a range of new vehicle technologies, such as automation, connectivity and electrification, which are expected to have multiple effects on different aspects of people's lives and have the potential of radically transforming the transportation status quo. This paper explores the effects that such new technologies can have on land use by employing a Land Use and Transportation Interaction (LUTI) modelling approach. A new methodology is developed to simulate the effects of automation, connectivity and electrification on accessibility and to conduct a sensitivity analysis. The analysis is carried out on a regional scale to determine the effects of the new technologies on multiple cities that form a region. The case study for this application is the region of the West Midlands (UK). The results suggest that new vehicle technologies can affect accessibility, population and employment in the cities of the region, the region itself, as well as the peripheral zones beyond the boundary of the region in a 15-year modelling period. Most notably, the two main urban cores of the region are found to not lose their financial power, despite increases in employment opportunities and population density in more rural outskirts. The increased accessibility also results in the relocation of lower-income households to places with lower housing rent. The sensitivity analysis shows that these findings are mostly impacted by changes in road capacity (which is expected to be generally higher as a result of these new technologies), as well as different penetration levels in the fleet.
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Accepted/In Press date: 15 March 2023
e-pub ahead of print date: 22 March 2023
Published date: 1 May 2023
Additional Information:
Funding Information:
This work was supported by the Faculty of Engineering and Physical Sciences of University of Southampton (UK).
Publisher Copyright:
© 2023 Elsevier Ltd
Keywords:
Automation, Connectivity, Electrification. LUTI, West Midlands
Identifiers
Local EPrints ID: 476727
URI: http://eprints.soton.ac.uk/id/eprint/476727
ISSN: 0967-070X
PURE UUID: 19bb1f30-7a33-4ee3-bd62-3e3f38d026fb
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Date deposited: 12 May 2023 16:46
Last modified: 17 Mar 2024 03:45
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Author:
Paraskevi Sarri
Author:
David Simmonds
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