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Towards Enhanced Resilience in City Design: A Proposition

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  • Rob Roggema

    (Van Hall Larenstein University of Applied Sciences, Velp 6880 GB, The Netherlands
    National Institute for Design Research, Swinburne University of Technology, Hawthorn, VIC 3122, Australia)

Abstract

When we use the urban metabolism model for urban development, the input in the model is often valuable landscape, being the resource of the development, and output in the form of urban sprawl, as a result of city transformations. The resilience of these “output” areas is low. The lack of resilience is mainly caused by the inflexibility in these areas where existing buildings, infrastructure, and public space cannot be moved when deemed necessary. In this article, a new vision for the city is proposed in which the locations of these objects are flexible and, as a result, the resilience is higher: a Dismantable City. Currently, the development of this sort of city is constrained by technical, social, and regulatory practice. However, the perspective of a Dismantable City is worthwhile because it is able to deal with sudden, surprising, and unprecedented climate impacts. Through self-organizing processes the city becomes adjustable and its objects mobile. This allows the city to configure itself according to environmental demands. The city is then able to withstand or even anticipate floods, heat waves, droughts, or bushfires. Adjustability can be found in several directions: creating multiple layers for urban activities (multi-layer urbanism), easing the way objects are constructed (light urbanism), or re-using abandoned spaces (transformable urbanism).

Suggested Citation

  • Rob Roggema, 2014. "Towards Enhanced Resilience in City Design: A Proposition," Land, MDPI, vol. 3(2), pages 1-22, June.
  • Handle: RePEc:gam:jlands:v:3:y:2014:i:2:p:460-481:d:36775
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    References listed on IDEAS

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    1. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, December.
    2. Juval Portugali, 2006. "Complexity Theory as a Link between Space and Place," Environment and Planning A, , vol. 38(4), pages 647-664, April.
    3. Rob Roggema & Tim Vermeend & Andy Van den Dobbelsteen, 2012. "Incremental Change, Transition or Transformation? Optimising Change Pathways for Climate Adaptation in Spatial Planning," Sustainability, MDPI, vol. 4(10), pages 1-25, October.
    4. Geert R. Teisman & Erik-Hans Klijn, 2008. "Complexity Theory and Public Management," Public Management Review, Taylor & Francis Journals, vol. 10(3), pages 287-297, May.
    5. Daniel A. Levinthal & Massimo Warglien, 1999. "Landscape Design: Designing for Local Action in Complex Worlds," Organization Science, INFORMS, vol. 10(3), pages 342-357, June.
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    Cited by:

    1. Alejandro Lara & Felipe Bucci & Cristobal Palma & Juan Munizaga & Victor Montre-Águila, 2021. "Development, urban planning and political decisions. A triad that built territories at risk," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(2), pages 1935-1957, November.
    2. Rob Roggema, 2017. "The Future of Sustainable Urbanism: Society-Based, Complexity-Led, and Landscape-Driven," Sustainability, MDPI, vol. 9(8), pages 1-20, August.
    3. Sharifi, Ayyoob & Yamagata, Yoshiki, 2016. "Principles and criteria for assessing urban energy resilience: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1654-1677.
    4. Cemaliye Eken & Resmiye Alpar Atun, 2019. "The Self-Organizing City and the Architecture of Metabolism: An Architectural Critique on Urban Growth and Reorganization," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    5. Kuljeet Singh & Caroline Hachem-Vermette, 2022. "Techniques of Improving Infrastructure and Energy Resilience in Urban Setting," Energies, MDPI, vol. 15(17), pages 1-24, August.

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