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Evolutionary Urban Transportation Planning? An Exploration

In: Applied Evolutionary Economics and Economic Geography

Author

Listed:
  • Luca Bertolini

Abstract

Applied Evolutionary Economics and Economic Geography aims to further advance empirical methodologies in evolutionary economics, with a special emphasis on geography and firm location. It does so by bringing together a select group of leading scholars including economists, geographers and sociologists, all of whom share an interest in explaining the uneven distribution of economic activities in space and the historical processes that have produced these patterns.

Suggested Citation

  • Luca Bertolini, 2007. "Evolutionary Urban Transportation Planning? An Exploration," Chapters, in: Koen Frenken (ed.), Applied Evolutionary Economics and Economic Geography, chapter 13, Edward Elgar Publishing.
  • Handle: RePEc:elg:eechap:4172_13
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    Citations

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    Cited by:

    1. 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.
    2. Francesco Filippi, 2022. "A Paradigm Shift for a Transition to Sustainable Urban Transport," Sustainability, MDPI, vol. 14(5), pages 1-27, March.
    3. 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.
    4. 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.
    5. 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).
    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. Hasan, M.A. & Chapman, R. & Frame, D.J., 2020. "Acceptability of transport emissions reduction policies: A multi-criteria analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    9. Elenna R. Dugundji & László Gulyás, 2013. "Structure and emergence in a nested logit model with social and spatial interactions," Computational and Mathematical Organization Theory, Springer, vol. 19(2), pages 151-203, June.
    10. 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.
    11. Hirschhorn, Fabio & van de Velde, Didier & Veeneman, Wijnand & ten Heuvelhof, Ernst, 2020. "The governance of attractive public transport: Informal institutions, institutional entrepreneurs, and problem-solving know-how in Oslo and Amsterdam," Research in Transportation Economics, Elsevier, vol. 83(C).
    12. 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.

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