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TRIMIS

Traveller Response and Information Service Technology: Analysis and Modelling (434-08-020)

Project

TRISTAM - Traveller Response and Information Service Technology: Analysis and Modelling (434-08-020)


Funding origin:
Netherlands
Netherlands
Funding sources:
NWO
STRIA Roadmaps:
Smart mobility and services (SMO)
Smart mobility and services
Transport mode:
Road
Road
Transport sectors:
Passenger transport
Passenger transport
Duration:
Start date: 01/02/2009,
End date: 01/04/2013

Status: Finished
Funding details:

Overview

Background & policy context:

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.

Objectives:

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.

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