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