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Transportation

, Volume 36, Issue 6, pp 649–650 | Cite as

A tribute to Ryuichi Kitamura: an IATBR perspective

  • John Polak
Article
  • 73 Downloads

The youngster was eager, enthusiastic and, in the manner of youth, more than a little keen to impress. The Professor had been very gracious, allowing the youngster plenty of time to present his ideas for the future of transport modelling. When the youngster finally concluded his peroration, he had impressed himself with the canvas he had painted—risky choice, learning and adaptation, treatment of imperfect information, household scheduling behaviour, multi-agent systems etc. —these, he felt, were challenges worthy of respect, and he was eager for a reaction. The Professor paused for a moment before responding. When he did respond it was not as the youngster had expected: “…that’s neat, but are you sure it’s as simple as that?” The youngster was momentarily nonplussed but then realised that he was being gently (and deservedly) teased, and in the next instant he and the Professor shared a gale of laughter. And they went on to share several drinks. Later the youngster came to realise...

Keywords

Travel Behaviour Risky Choice Achievement Award Distinguished Career Enduring Impact 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Reference

  1. Pas, E.: Is travel demand analysis and modelling in the doldrums? Chap. 1. In: Jones, P.M. (ed.) Developments in Dynamic and Activity-based Approaches to Travel Analysis, pp. 3–27. Avebury, Brookfield, VT (1990)Google Scholar

Copyright information

© Springer Science+Business Media, LLC. 2009

Authors and Affiliations

  1. 1.Centre for Transport StudiesImperial College LondonLondonUK

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