Overview
One would expect that the provision of information/guidance will reduce the uncertainty of travel, increasing travellers´ comfort and inducing them to change their behaviour such as to stimulate better use of the existing infrastructure and to reduce or even avoid congestion. One would expect that stimulating tele-activities will reduce physical travel and thus contribute to sustainable accessibility.
Existing research findings however suggest that this is not necessarily true. If too many travellers follow the recommendation to take another route to avoid congestion, the problem of congestion may simply shift from one route to another. If dynamic information is provided based on the wrong assumptions about traveller behaviour, it may turn out to be wrong, implying that next time, travellers may simply ignore it. Although teleworking will reduce the number of commuter trips, the time savings may be used to engage in other activities, with adverse effects on mobility rates.
Provision of information thus requires a good understanding of traveller response, considering changing technology, changing economics of energy use, and increased uncertainty about travel and congestion itself. Successful application of such technology to enhance sustainable accessibility also requires the development of operational behaviourally-sound methods and models.
This research project will deliver innovative theoretical and empirical findings, methods and models for analysing, predicting and assessing the impact of ICT on travel on dynamic network performance, accessibility, spatial externalities/land use and economic welfare. These will be applied to the next generation of intelligent ICT tools in case studies developed jointly with a user group.
Funding
Results
Scientific article
- C.G. Chorus, H.J.P. Timmermans (2009): Measuring user benefits of changes in the transport system when traveler awareness is limited. Transportation Research Part A pp. 536 - 547
- G de Moraes Ramos, W Daamen, S Hoogendoorn (2011): Expected Utility Theory, Prospect Theory, and Regret Theory Compared for Prediction of Route Choice Behavior Transportation Research Record: Journal of the Transportation Research Board pp. 19 - 28
- S Gubins, ET Verhoef, T de Graaff (2012): Welfare Effects of Road Pricing and Traffic Information under Alternative Ownership Regimes Transportation Research Part A pp. 1304 - 1317
- Z. Parvaneh, T.A. Arentze, H.J.P. Timmermans (2012): Understanding travelers' behavior in provision of travel information: a Bayesian Belief approach. Procedia - Social and Behavioral Sciences pp. 251 - 260
- R. Lu, C.G. Chorus, B. van Wee(2012): The effects of different forms of ICT on accessibility: a behavioural model and numerical examples Transportmetrica (DOI:10.1080/18128602.2012.742171) pp. 1 - 22
- GM Ramos, W Daamen, SP Hoogendoorn (2013): Modelling travellers? heterogeneous route choice behaviour as prospect maximizers. Journal of Choice Modelling (In Press) pp. 17 - 33
- GM Ramos, W Daamen, SP Hoogendoorn (2013): A state of the art review: developments on utility theory, prospect theory and regret theory to investigate travellers? behaviour in situations involving travel time uncertainty Transport Reviews
- GM Ramos, E Frejinger, W Daamen, SP Hoogendoorn (2013): A revealed preference study on route choices in a congested network with real-time information Transportation
Professional publication
- S. Gubins, E. Verhoef (2011): Teleworking and Congestion: A Dynamic Bottleneck Analysis.
- S. Gubins, E. Verhoef (2012): Dynamic Congestion and Urban Equilibrium.