The Transport Research Institute at Edinburgh Napier University (TRI)
recognises the importance of taxi research, developing a series of models
since 2002. Parallel pressures within the regulation of the mode, and
disruptive forms of access, necessitate measurable and repeatable
analysis. Beneficiaries include the travelling public, as regulations are
developed and applied, regulators, informing policy direction; operators
and drivers as the market for services changes.
TRI models provide detailed analysis of the market. The market-model,
with its economic, cost and operational sub-models, has developed to
support live issues, and is applied in the UK, EU and North America.
Research at Oxford in the Transport Studies Unit (TSU) has enabled cities and governments
(regional and local) in the UK and internationally to adjust their transport policies over the longer
term (to 2050) towards low carbon alternatives. Its impact has been to reconfigure decision
makers' thinking on transport policies from trend-based projective studies for transport policy
options, towards trend breaking `backcasting' studies for sustainable transport policy futures.
Several national and international agencies have used both the backcasting approach, and also
two simulation models developed as part of the research.
Bournemouth University (BU) researchers have developed economic modelling
techniques that more accurately predict the outcome of events, policies or
other major economic decisions. This type of modelling allows governments
and organisations to effectively plan for the positive and negative
impacts arising from decisions. The technique was used to inform estimates
of the value of the 2012 Olympic Games and subsequent tourism legacy; to
provide the evidence base for VisitScotland naming 2013 the `Year of
Natural Scotland'; to inform a Parliamentary debate on music tourism and
establish greater representation of music in VisitBritain marketing
material; and to inform the Government of Gibraltar of the impact of
changes, such as the benefits of cross-border activity.
Research on sustainable transport conducted by Hickman et al at UCL has
contributed significantly to a major shift in UK and international
transport policy during the last decade. Whereas such policy previously
included little, if any, consideration of climate change, the desire to
reduce transport CO2 emissions is now often its primary
objective. Findings from and methods developed through the research have
been used at city, regional, national and international to support and
implement revised strategies and investment programmes promoting
sustainable transport. As such, they contributed to increased use of
public transport, walking and cycling, and reduced dependence on car
usage. The methods have also been widely used by international
consultancies and other researchers.
Research undertaken by the Institute for Transport Studies (ITS) at the
University of Leeds from 1997 to 2013 has played a key role in developing
the methods and evidence base for demand forecasting and economic
appraisal in transport. The primary impact of this research has been
changes to official guidance Manuals, which are prescribed to scheme
promoters, operators, consultants and other agents. In applying these
Manuals, a secondary research impact has been to improve the quality of
transport decision-making and Value for Money (VfM) of public expenditure.
Against this background, ITS Leeds research has achieved the following
impacts throughout the period 2008 to 2013 (and ongoing):
This impact case study is based on research concerning the estimation of
regional economic impacts through input-output models and spatial
econometrics. The research resulted in the distribution of a free
modelling software package to decision-makers throughout the South West
region and has had policy impacts in terms of the influence of advice,
data, and reports provided to a range of organisations including the South
West Regional Development Agency, Plymouth City Council, and several other
local councils and private sector decision-makers.