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Challenges and opportunities for participatory planning approaches within Dubai’s urban context

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  • Khaled Alawadi
  • Sarah Dooling

Abstract

Dubai has been in the midst of a profound physical transformation, radically affecting the lives of residents and newcomers. Within US and European models of planning, the rapid change Dubai is experiencing calls for public involvement in charting the city’s future. However, Dubai’s neo-patrimonial governance concentrates planning decisions into the hands of trusted elites, lacking public participation. How might a participatory approach to planning be successfully implemented in Dubai? First, this article applies Delphi to obtain experts’ knowledge about the feasibility of implementing a participatory planning approach in Dubai. Second, the first author interviewed government officials to identify constraints for implementing strategies intended to widen public participation. Last, recommendations for the implementation of a more transparent approach to planning are provided. The article concludes with questions that explore the challenges associated with participation in planning decision-making specifically for neo-patrimonial systems.

Suggested Citation

  • Khaled Alawadi & Sarah Dooling, 2016. "Challenges and opportunities for participatory planning approaches within Dubai’s urban context," Journal of Urbanism: International Research on Placemaking and Urban Sustainability, Taylor & Francis Journals, vol. 9(3), pages 276-301, September.
  • Handle: RePEc:taf:rjouxx:v:9:y:2016:i:3:p:276-301
    DOI: 10.1080/17549175.2015.1045924
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    Cited by:

    1. Esmaeilpoorarabi, Niusha & Yigitcanlar, Tan & Guaralda, Mirko & Kamruzzaman, Md., 2018. "Evaluating place quality in innovation districts: A Delphic hierarchy process approach," Land Use Policy, Elsevier, vol. 76(C), pages 471-486.
    2. Adu-McVie, Rosemary & Yigitcanlar, Tan & Erol, Isil & Xia, Bo, 2021. "Classifying innovation districts: Delphi validation of a multidimensional framework," Land Use Policy, Elsevier, vol. 111(C).
    3. Chang, Soowon & Saha, Nirvik & Castro-Lacouture, Daniel & Yang, Perry Pei-Ju, 2019. "Multivariate relationships between campus design parameters and energy performance using reinforcement learning and parametric modeling," Applied Energy, Elsevier, vol. 249(C), pages 253-264.
    4. Scoppa, Martin & Bawazir, Khawla & Alawadi, Khaled, 2019. "Straddling boundaries in superblock cities. Assessing local and global network connectivity using cases from Abu Dhabi, UAE," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 770-782.
    5. Anfal Al-Ali & Praveen Maghelal & Khaled Alawadi, 2020. "Assessing Neighborhood Satisfaction and Social Capital in a Multi-Cultural Setting of an Abu Dhabi Neighborhood," Sustainability, MDPI, vol. 12(8), pages 1-16, April.

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