Leeds University

Past Research

UK national value of time study

A new study launched by the Department for Transport (DfT) will provide up-to-date valuations of travel time savings and reliability in order to better appraise transport infrastructure schemes.

DfT has appointed Arup to manage and deliver market research for the study. Arup will deliver the project in partnership with ITS, who will be responsible for the technical research and analysis, and Accent, who will undertake the data collection.

The new study follows the publication of scoping reports (here and here) by DfT in October 2013, which recommended that its values should be updated; the most recent UK national value of time study was conducted nearly 20 years ago, before the internet revolution and other changes in working and commuting practices.

The aim of the study is to provide up-to-date national average values of travel time savings.  It will also investigate the factors which cause variation in the values, and improve understanding of the uncertainties around these values. Values of reliability benefits and quality impacts such as relief of overcrowding will also be provided.

The new information will feed into the UK’s official transport analysis guidance, WebTAG, which mandates values of in-vehicle travel time savings for business, commuting and non-work travel for use in the assessment of publicly funded transport projects.

CMC involvement: Richard Batley, Stephane Hess, Mark Wardman, Charisma Choudhury, Manuel Ojeda Cabral, Thijs Dekker


Transtools3 is a project upgrading and further developing the European transport network model that has been developed in collaborative projects funded by the European Commission Joint Research Centre's Institute for Prospective Technological Studies (IPTS) and DG TREN. The various Commission services addressing transport issues have agreed to use TRANSTOOLS as the main model for policy analysis and have appointed IPTS as the model's Reference Centre. The mission for Transtools3 is to improve the methodological basis of the model, improve and validate its data foundation, deal with known deficiencies of the existing model, make the software more efficient, and focus on the user needs, model documentation and model validation. There are choice modelling components looking at both passenger choices and freight related decisions.

CMC members involved: Stephane Hess, Andrew Daly, Gerard de Jong, Alan Pearman


ACTUM aims to make a step change in developing and implementing activity based models in Europe. The objective is to develop a new decision support methodology for transport policy evaluation. We aim to design an instrument able to evaluate sustainable transport policies that need a balance between guaranteeing mobility and reducing transport externalities (e.g., CO2 emissions). The methodology is a novel disaggregate person- and household-based, activity-based framework. We will explore new techniques for the efficient collection of data about activity (and hence travel) patterns through the use of individual GPS data loggers and in-depth interviews to provide a better understanding and prediction of how restrictions within daily activity patterns influence the travel pattern. It is also an ambition to identify how changes in the transport system may influence the activity pattern, for example how improved accessibility may generate positive effects in terms of labour market changes and working hours. Such effects are overlooked in the existing decision support methodologies in Denmark

CMC members involved: Andrew Daly, Stephane Hess, Richard Batley


ecoDriver is an EU funded research project which targets a 20% reduction of CO2 emissions and fuel consumption in road transport by encouraging the adoption of green driving behaviour. Drivers will receive eco-driving recommendations and feedback adapted to them and to their vehicle characteristics. A range of driving profiles, powertrains (conventional, hybrid, electrical) and vehicles types (passenger cars, vans, trucks, buses) will be tested in order to optimise the driver-powertrain-environment feedback loop. The ultimate goal is to deliver the most appropriate eco-driving advice or feedback for any given situation. The choice modelling component looks at the potential uptake of ecoDriver tools.

CMC members involved: Richard Batley, Reto Tanner & Charisma Choudhury

CIVAS (Community IntraVenous Antibiotic Study)

CIVAS (Community IntraVenous Antibiotic Study) looks at improving UK implementation and reduced geographic variation in community intravenous (IV) antibiotic services. There is a paucity of information upon which the National Health Service (NHS) can base decisions regarding the design, supply and commissioning of such services and upon which national guidance developers can base recommendations for best practice. The research addresses significant gaps in knowledge about the cost effectiveness of different IV antibiotic service models, identifies through choice modelling work which services patients prefer and which aspects of the services are most important to them. The evidence generated by the research will be used to help identify the optimal configuration of services in terms of value for money and patient preference.

CMC members involved: David Meads & Stephane Hess