Research Output
Multi-attribute analysis for sustainable reclamation of urban industrial areas: case of Al-Qaboun, Damascus post-conflict
  The reclamation of urban industrial zones presents intricate challenges within urban planning, notably in post-disaster scenarios aimed at revitalizing urban landscapes. This study delves into the complexities and decision-making intricacies involved in reinvigorating the Al-Qaboun industrial area in Damascus following the conflict. It undertakes an assessment of optimal industrial zone placements by meticulously evaluating economic, social, land use, and environmental criteria via a robust combination of case study methodology and reconnaissance survey.
The outcomes reveal participants' prioritization of economic criteria, followed closely by equally significant social and land use considerations, while the environmental criteria ranked comparatively lower in importance. Employing multi-attribute analysis, three reclamation alternatives for Al-Qaboun are examined: refurbishment within the same area (A1), relocation of heavy industries to Adra industrial city (A2), and complete relocation to Adra industrial city (A3). Participant ratings favor A3 (0.386) followed by A1 (0.319) and A2 (0.294), highlighting the initial planning phase's reliance on streamlined methodologies yet emphasizing the necessity for an in-depth exploration of stakeholder influences on sustainable reclamation endeavors.
This research underscores the pivotal role of meticulous decision-making in post-disaster urban planning and advocates for a nuanced understanding of stakeholder dynamics in ensuring the sustainability of reclamation initiatives.

  • Publication Status:

    Accepted

  • Publisher

    Springer

  • Funders:

    Edinburgh Napier Funded

Citation

Khaddour, L., Osunsanmi, T., Olawumi, T., & Bradly, L. Multi-attribute analysis for sustainable reclamation of urban industrial areas: case of Al-Qaboun, Damascus post-conflict. In Pathways & Partnerships for Sustainable Built and Urban Environments

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