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Evolutionary Urban Transportation Planning: An Exploration

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  • Luca Bertolini

    (AMIDSt—Amsterdam Institute for Metropolitan and International Studies, University of Amsterdam, Nieuwe Prinsengracht 130, 1018 VZ Amsterdam, The Netherlands)

Abstract

For urban transportation planners these are challenging times. Mounting practical concerns are mirrored by more fundamental critiques. The latter comes together in the observation that conventional approaches do not adequately account for the irreducible uncertainty of future developments. The author's central aim is to explore whether and how an evolutionary approach can help overcome this limit. Two core hypotheses are formulated. The first is that the urban transportation system behaves in an evolutionary fashion. The second hypothesis is that, because of this, urban transportation planning needs to focus on enhancing the resilience and adaptability of the system. Changes in transport and land-use development patterns and policies, and in the broader context of the postwar period in the Amsterdam region, are analysed in order to illustrate the two core hypotheses. More general implications are also drawn.

Suggested Citation

  • Luca Bertolini, 2007. "Evolutionary Urban Transportation Planning: An Exploration," Environment and Planning A, , vol. 39(8), pages 1998-2019, August.
    • Handle: RePEc:sae:envira:v:39:y:2007:i:8:p:1998-2019
    DOI: 10.1068/a38350
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    References listed on IDEAS

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    1. Giovanni Dosi & Richard R. Nelson, 2000. "An Introduction to Evolutionary Theories in Economics," Chapters, in: Innovation, Organization and Economic Dynamics, chapter 11, pages 327-346, Edward Elgar Publishing.
    2. World Commission on Environment and Development,, 1987. "Our Common Future," OUP Catalogue, Oxford University Press, number 9780192820808.
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    Cited by:

    1. Ren, Chongqiang & Zhai, Guofang & Zhou, Shutian & Li, Shasha & Chen, Wei, 2017. "Adaptation assessment and analysis of economic growth since the market reform in China," Economics Discussion Papers 2017-24, Kiel Institute for the World Economy (IfW Kiel).
    2. Papa, Enrica & Coppola, Pierluigi & Angiello, Gennaro & Carpentieri, Gerardo, 2017. "The learning process of accessibility instrument developers: Testing the tools in planning practice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 108-120.
    3. Soria-Lara, Julio A. & Banister, David, 2017. "Participatory visioning in transport backcasting studies: Methodological lessons from Andalusia (Spain)," Journal of Transport Geography, Elsevier, vol. 58(C), pages 113-126.
    4. Soria-Lara, Julio A. & Banister, David, 2017. "Dynamic participation processes for policy packaging in transport backcasting studies," Transport Policy, Elsevier, vol. 58(C), pages 19-30.
    5. Arranz-López, Aldo & Soria-Lara, Julio A & López-Escolano, Carlos & Pueyo Campos, Ángel, 2017. "Retail Mobility Environments: A methodological framework for integrating retail activity and non-motorised accessibility in Zaragoza, Spain," Journal of Transport Geography, Elsevier, vol. 58(C), pages 92-103.
    6. Soria-Lara, Julio A. & Banister, David, 2018. "Evaluating the impacts of transport backcasting scenarios with multi-criteria analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 26-37.
    7. Weber, Johann, 2017. "Policy entrepreneurs and opportunities: Establishing a model of policy change through bicycle infrastructure at the municipal level," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 252-263.
    8. Vigar, Geoff, 2017. "The four knowledges of transport planning: Enacting a more communicative, trans-disciplinary policy and decision-making," Transport Policy, Elsevier, vol. 58(C), pages 39-45.

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