TrafRed interactive traffic reduction model

Haggar, Paul ORCID: https://orcid.org/0000-0001-8753-1848 and Cooper, Crispin ORCID: https://orcid.org/0000-0002-6371-3388 2023. TrafRed interactive traffic reduction model. London: Green Alliance.

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Abstract

Transport is the highest emitting sector in the UK, despite the rise in electric vehicles (EVs). To reduce the number of miles driven by car, we must travel differently, using more public transport, walking and cycling. This move away from cars to other types of transport is known as ‘modal shift’. To achieve this, it is important to understand the intersections of the UK’s transport system, how the public responds to changes in policy and what the costs to the government or the public might be. We worked with academics at the University of Cardiff to build a ‘modal shift model’ which allowed us to experiment with combinations of measures to reduce car miles driven, such as improving public transport or changing speed limits. Its outputs show the impact a mix of policies could have, the cost to the government and users, and the revenue the government might expect to gain. Using this, we developed a set of scenarios, each designed to cut total UK car mileage by 25 per cent. This report showcases alternative transport futures decision makers could opt for to meet climate targets and the considerations to be taken into account when designing modal shift policies.

Item Type:	Other
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	Green Alliance
Related URLs:	https://colab.research.google.com/drive/...
Last Modified:	23 Oct 2024 13:58
URI:	https://orca.cardiff.ac.uk/id/eprint/159725

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