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Coping with uncertainty : an expedition in the field of new transport technology

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  • Geenhuizen, Marina van

    (Vrije Universiteit Amsterdam, Faculteit der Economische Wetenschappen en Econometrie (Free University Amsterdam, Faculty of Economics Sciences, Business Administration and Economitrics)

  • Nijkamp, Peter

Abstract

Many decisions of mankind are rational only to a limited extent. This holds for individual travel behaviour, but also for long-range strategic decisions on transport systems or transport technology. In any decision problem coping with uncertainty is the most critical element. The introduction of new transport technology is surrounded by many types of uncertainty. For example, there is uncertainty about the pace and extent of adoption of new technology and there is uncertainty about the impact of new technology in terms of an increased sustainability or increased efficiency. This article attempts to map uncertainty surrounding new transport technology and to identify ways to deal with uncertainty in policy making. The findings will be illustrated with electric vehicles, particularly with two specific strategies to deal with uncertainty, i.e. interactive technology watching and experimentation in a market niche. The article concludes with a discussion of success factors that influence the outcomes of such strategies.

Suggested Citation

  • Geenhuizen, Marina van & Nijkamp, Peter, 2001. "Coping with uncertainty : an expedition in the field of new transport technology," Serie Research Memoranda 0009, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    • Handle: RePEc:vua:wpaper:2001-9
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    References listed on IDEAS

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    1. Walker, Warren E. & Rahman, S. Adnan & Cave, Jonathan, 2001. "Adaptive policies, policy analysis, and policy-making," European Journal of Operational Research, Elsevier, vol. 128(2), pages 282-289, January.
    2. Peter Nijkamp & Hans Ouwersloot & Sytze A. Rienstra, 1997. "Sustainable Urban Transport Systems: An Expert-based Strategic Scenario Approach," Urban Studies, Urban Studies Journal Limited, vol. 34(4), pages 693-712, April.
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    Cited by:

    1. Sestino, Andrea & Peluso, Alessandro M. & Amatulli, Cesare & Guido, Gianluigi, 2022. "Let me drive you! The effect of change seeking and behavioral control in the Artificial Intelligence-based self-driving cars," Technology in Society, Elsevier, vol. 70(C).

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    More about this item

    JEL classification:

    • L90 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - General
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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