Transport appraisal and strategic modelling (TASM) division
The Transport Appraisal and Strategic Modelling (TASM) division produces guidance for the Department for Transport (DfT) on:
- project modelling and appraisal
- value for money assessments
- analytical assurance
It is also responsible for providing evidence on trends in, and drivers of, strategic transport outcomes, including multi-modal forecasting and simulation of policy impacts.
TASM is split into 3 teams; each is responsible for fulfilment of a different area of the division’s goals.
The Project Modelling and Appraisal team
The Project Modelling and Appraisal (PMA) team is responsible for the maintenance and development of DfT’s transport modelling and appraisal capabilities. PMA maintains and develops WebTAG, the department’s guidance on modelling and appraisal for transport projects. It also provides advice and assurance to internal and external stakeholders.
The Value for Money (VfM) and Analytical Assurance team
The Value for Money (VfM) and Analytical Assurance team is responsible for developing and updating value for money guidance. It’s also oversees DfT’s analytical assurance framework which specifies how analysis should be specified and produced within the department. The team provides quality assurance and scrutiny of:
- the value for money advice offered to ministers and investment boards
- VfM assessments of spending, revenue, and other analysis
The Strategic Transport Analysis and Modelling (STAM) team
The Strategic Transport Analysis and Modelling (STAM) team is responsible for providing analysis into past and future road travel trends. It also provides advice on the potential impacts of national policies on levels of traffic, congestion and transport emissions. STAM maintain and develop the National Transport Model (NTM), which produces DfT’s road traffic forecasts. They also undertake broader analysis to improve understanding of the underlying drivers of road travel and ensure the assumptions underpinning the NTM are kept up-to-date.
Joint Analysis Development Panel
TASM has established the Joint Analysis Development Panel (JAPD). This has been set up to provide strategic level comment and recommendations on DfT’s approach to developing its transport modelling, appraisal and evaluation methods. The panel will meet around 3 times a year and is jointly chaired by DfT’s Chief Analyst, Amanda Rowlatt, and Professor Peter Jones from University College London.
JAPD terms of reference
Terms of reference for the Joint Analysis Development Panel (PDF, 138KB, 4 pages)
The panel will bring together independent academics and senior DfT analysts to discuss the direction and technical merit of TASM’s analytical strategies.
Amanda Rowlatt, DfT’s Chief Analyst, chairs the panel jointly with Professor Peter Jones from University College London. The other academic members are:
- Richard Batley, professor of transport demand and valuation, Institute for Transport Studies, University of Leeds
- Phil Goodwin, emeritus professor of transport policy, University College London and University of the West of England
- Glenn Lyons, professor of transport and society, University of the West of England
- Anthony Venables, professor of economics, Oxford University
- Tom van Vuren, visiting professor ITS Leeds and Mott Macdonald
The panel will be supported by a broader network of subject matter experts who will be invited to attend meetings on specific issues.
Documentation about our activities includes:
- The National Transport Model
- TEMPro (Trip End Model Presentation Program)
- WebTAG: TAG data book
- how we assess business case for major investments
- understanding and valuing impacts of transport investments
- WebTAG: a full collection of advice and guidance on modelling and appraisal of transport projects
- value for money advice for proposed transport interventions
- appraisal and modelling tools
- appraisal and modelling research reports
- Road traffic forecasts 2015
- Understanding the drivers of road travel
- Car traffic levels in Britain: evidence review
- Road traffic demand elasticities