首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Flexible substitution patterns in models of mode and time of day choice: new evidence from the UK and the Netherlands
Authors:Stephane Hess  John W Polak  Andrew Daly  Geoffrey Hyman
Institution:(1) Centre for Transport Studies, Imperial College London, Exhibition Road, London, SW7 2AZ, UK;(2) RAND Europe, Westbrook Centre, Milton Road, Cambridge, CB4 1YG, UK;(3) Integrated Transport & Economic Appraisal Division, Department for Transport, 3/06 Great Minster House, 76 Marsham St, London, SW1P 4DR, UK
Abstract:Modelling the temporal response of travellers to transport policy interventions has rapidly emerged as a major issue in many practical transport planning studies and is recognised to hold particular challenges. The importance of congestion and its variation over the day, together with the emergence of time-dependent road user charging as a policy tool, emphasise the need to understand whether and how travellers will change the timing of their journeys. For practical planning studies, analysts face a major issue of relating temporal changes to other behavioural changes that are likely to result from policy or exogenous changes. In particular, the relative sensitivity of time and mode switching has been difficult to resolve. This paper describes a study undertaken to determine the relative sensitivity of mode and time of day choice to changes in travel times and costs and to investigate whether evidence exists of varying magnitudes of unobservable influences in time of day switching. The study draws on data from three related stated preference studies undertaken over the past decade in the United Kingdom and the Netherlands and uses error components logit models to investigate the patterns of substitution between mode and time of day alternatives. It is concluded that the magnitude of unobserved influences on time switching depends significantly on the magnitudes of the time switches considered. With time periods of the magnitude generally represented in practical modelling, i.e. peak periods of 2–3 hours, time switching is generally more sensitive in these data than mode switching. However, the context of the modelling and the extent to which relevant variables can be measured will strongly influence these results.
Keywords:Departure time  Mode choice  Error-components logit  time period
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号