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An adaptive approach to implementing innovative urban transport solutions

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  • Marchau, Vincent
  • Walker, Warren
  • van Duin, Ron

Abstract

Urban transport is facing an increasing number of problems. Innovative technological solutions have been proposed for many of these problems. The implementation of these solutions, however, is surrounded by many uncertainties--for example, future relevant developments for urban transport demand and supply, the possible consequences of these developments for urban transportation system performance, and the way crucial stakeholders will value these consequences. In order to deal with these uncertainties, a flexible or adaptive policy is proposed that takes some actions right away and creates a framework for future actions that allow for adaptations over time as knowledge about urban transport technologies accumulates and critical events with respect to the implementation of these technologies take place. The adaptive approach is illustrated for three promising technological solutions for urban transport problems: (1) intelligent speed adaptation, (2) personal intelligent travel assistant, and (3) underground freight transport.

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  • Marchau, Vincent & Walker, Warren & van Duin, Ron, 2008. "An adaptive approach to implementing innovative urban transport solutions," Transport Policy, Elsevier, vol. 15(6), pages 405-412, November.
    • Handle: RePEc:eee:trapol:v:15:y:2008:i:6:p:405-412
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    2. Lindholm, Maria Eleonor & Blinge, Magnus, 2014. "Assessing knowledge and awareness of the sustainable urban freight transport among Swedish local authority policy planners," Transport Policy, Elsevier, vol. 32(C), pages 124-131.
    3. Yanwei Li & Araz Taeihagh & Martin de Jong & Andreas Klinke, 2021. "Toward a Commonly Shared Public Policy Perspective for Analyzing Risk Coping Strategies," Risk Analysis, John Wiley & Sons, vol. 41(3), pages 519-532, March.
    4. Arne Höltl & Cathy Macharis & Klaas De Brucker, 2017. "Pathways to Decarbonise the European Car Fleet: A Scenario Analysis Using the Backcasting Approach," Energies, MDPI, vol. 11(1), pages 1-20, December.
    5. Tavasszy, Lóránt A., 2020. "Predicting the effects of logistics innovations on freight systems: Directions for research," Transport Policy, Elsevier, vol. 86(C), pages 1-6.
    6. Mozos-Blanco, Miguel Ángel & Pozo-Menéndez, Elisa & Arce-Ruiz, Rosa & Baucells-Aletà, Neus, 2018. "The way to sustainable mobility. A comparative analysis of sustainable mobility plans in Spain," Transport Policy, Elsevier, vol. 72(C), pages 45-54.
    7. Kaye, Sherrie-Anne & Buckley, Lisa & Rakotonirainy, Andry & Delhomme, Patricia, 2019. "An adaptive approach for trialling fully automated vehicles in Queensland Australia: A brief report," Transport Policy, Elsevier, vol. 81(C), pages 275-281.
    8. Agnieszka Malkowska & Arkadiusz Malkowski, 2021. "International Trade in Transport Services between Poland and the European Union," Sustainability, MDPI, vol. 13(1), pages 1-16, January.
    9. Jerrel R Yzer & Warren E Walker & Vincent A W J Marchau & Jan H Kwakkel, 2014. "Dynamic Adaptive Policies: A Way to Improve the Cost—Benefit Performance of Megaprojects?," Environment and Planning B, , vol. 41(4), pages 594-612, August.
    10. Warren E Walker, 2014. "Adapt or Perish: An Approach to Planning Under Deep Uncertainty," Post-Print halshs-01166279, HAL.
    11. Li, Shunxi & Sui, Pang-Chieh & Xiao, Jinsheng & Chahine, Richard, 2019. "Policy formulation for highly automated vehicles: Emerging importance, research frontiers and insights," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 573-586.
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