Smarter Choices: Assessing the Potential to Achieve Traffic Reduction Using Soft Measures
Document Type
Journal Article
Publication Date
2008
Subject Area
operations - traffic, planning - travel demand management, planning - travel demand management, ridership - demand, organisation - management
Keywords
Trip reduction, Travel models (Travel demand), Travel demand management, Travel demand, Transportation policy, Transportation demand management, Traffic, TDM measures, Policy analysis, Modal shift, Cost benefit analysis, Benefit cost analysis
Abstract
In recent years, there has been a growing interest in a range of transport policy initiatives which are designed to influence people's travel behaviour away from single-occupancy car use and towards more benign and efficient options, through a combination of marketing, information, incentives and tailored new services. In transport policy discussions, these are now widely described as 'soft' factor interventions or 'smarter choice' measures or 'mobility management' tools. In 2004, the UK Department for Transport commissioned a major study to examine whether large-scale programmes of these measures could potentially deliver substantial cuts in car use. The purpose of this article is to clarify the approach taken in the study, the types of evidence reviewed and the overall conclusions reached. In summary, the results suggested that, within approximately ten years, smarter choice measures have the potential to reduce national traffic levels by about 11%, with reductions of up to 21% of peak period urban traffic. Moreover, they represent relatively good value for money, with schemes potentially generating benefit:cost ratios which are in excess of 10:1. The central conclusion of the study was that such measures could play a very significant role in addressing traffic, given the right support and policy context.
Recommended Citation
Cairns, S, Sloman, L, Newson, C, Anable, J, Kirkbride, A, Goodwin, P. (2008). Smarter Choices: Assessing the Potential to Achieve Traffic Reduction Using Soft Measures. Transport Reviews, Volume 28, Issue 5, pp 593-618.