A Handbook of Transport Economics
Show Less

A Handbook of Transport Economics

Edited by André de Palma, Robin Lindsey, Emile Quinet and Roger Vickerman

Bringing together insights and perspectives from close to 70 of the world’s leading experts in the field, this timely Handbook provides an up-to-date guide to the most recent and state-of-the-art advances in transport economics. The comprehensive coverage includes topics such as the relationship between transport and the spatial economy, recent advances in travel demand analysis, the external costs of transport, investment appraisal, pricing, equity issues, competition and regulation, the role of public–private partnerships and the development of policy in local bus services, rail, air and maritime transport.
Buy Book in Print
Show Summary Details
You do not have access to this content

Chapter 25: Personal Intelligent Travel Assistants

Casper G. Chorus and Harry J.P. Timmermans


Caspar G. Chorus and Harry J.P. Timmermans INTRODUCTION Recently, rapid technological developments in mobile communications and satellite technology have provided a vision among telecommunication companies, transport agencies, governments and academia of a technological revolution in Advanced Traveler Information Systems towards what can be called a Personal Intelligent Travel Assistant (PITA). Where the term ATIS has been used since the late 1980s to describe a range of travel information systems and services of varying degrees of sophistication, PITA distinguishes itself from the current generation of ATIS in terms of one or more of the following features (Chorus, 2007): ● ● ● ● PITA provides dynamic information. That is, based on real-time monitoring of the transportation system and fed into cutting edge models of travel demand and network capacity to predict the state of the network in the near future. As such, PITA is able to provide information that is more reliable than information provided by information systems that use static or historic network data, or use realtime monitoring but fail to translate this data into meaningful predictions of the future state of the transport network. PITA provides personalized, mobile information. That is, PITA bases the information it provides on an accurate assessment of the traveler’s preferences, his or her location in the transport network and the constraints he or she faces (in terms of his or her schedule for the day, but also in terms of, for example, transit season ticket ownership and/or car availability). When deemed necessary, based on an assessment of the state...

You are not authenticated to view the full text of this chapter or article.

Elgaronline requires a subscription or purchase to access the full text of books or journals. Please login through your library system or with your personal username and password on the homepage.

Non-subscribers can freely search the site, view abstracts/ extracts and download selected front matter and introductory chapters for personal use.

Your library may not have purchased all subject areas. If you are authenticated and think you should have access to this title, please contact your librarian.

Further information

or login to access all content.