The University of Southampton
University of Southampton Institutional Repository

Modelling passenger demand in ATT environments: a way forward

Hassounah, M., Chatterjee, K. and McDonald, M. (1996) Modelling passenger demand in ATT environments: a way forward Traffic Engineering and Control, 37, (2), pp. 88-93.

Record type: Article

Abstract

This paper critically examines the state-of-the-art in urban passenger travel demand modelling in the light of Advanced Transport Telematics (ATT) needs and implications. It is concluded that most existing models lack a strong behavioural content, and as such are unsuitable for analysing the experience, behaviour and travel choices of individuals within an ATT context. In particular, the ability of the models to facilitate interactions between short-term responses to ATT and long-term changes in attitudes is very limited. Another limitation is the inability to deal with pre-trip planning and en-route updating of travel plans within a multi-modal, multi-media, integrated urban transport context. Finally, most existing models do not have an extendible structure to cope with new aspects of traveller-ATT interactions and provide flexibility to users. The development of modelling systems capable of incorporating ATT needs and implications requires extensive research on behaviour and attitudes towards information and information technology and towards transport needs and use in the short and long term, dynamic transport modelling, multi-modalism, and on applications of a variety of computing methods in transport.

Full text not available from this repository.

More information

Published date: February 1996

Identifiers

Local EPrints ID: 75568
URI: http://eprints.soton.ac.uk/id/eprint/75568
ISSN: 0041-0683
PURE UUID: 8a2db6ab-1b66-4885-b245-41a9705868a1

Catalogue record

Date deposited: 11 Mar 2010
Last modified: 18 Jul 2017 23:42

Export record

Contributors

Author: M. Hassounah
Author: K. Chatterjee
Author: M. McDonald

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×