<p>Urban vibrancy reflected through the intensity of human activity, social engagement, and spatial diversity is essential to the success of mixed-use developments, particularly in Egypt’s rapidly expanding new urban communities. Despite their intended roles as dynamic urban nodes, many of these projects struggle to achieve vibrancy due to socio-spatial fragmentation, accessibility challenges, and limited inclusivity. This study introduces a novel Urban Vibrancy Index (UVI), developed through a data-driven methodology combining statistical modeling and computational tools, to quantitatively assess vibrancy across 21 mixed-use projects representing four generations of new cities within Greater Cairo. The methodology integrates 840 structured survey responses (630 visitors and 210 employees) with on-site observational audits. Seventeen vibrancy-related variables were analyzed and grouped into four key dimensions: foundational conditions (31%), social dynamics (27%), spatial accessibility (25%), and economic diversity (17%). Factor analysis was conducted using SPSS to ensure statistical validity (KMO = 0.846), while Python was employed for data processing, normalization, and automated scoring, ensuring replicability and consistency of the UVI computation. The index was empirically applied to Arkan Plaza, yielding a UVI score of 0.777 on a 0–1 scale, positioning it as a “Good” performer. While strong in policy alignment (4.6/5), intensity (4.09), and proximity to amenities (4.3), limitations in social interaction (3.23) and inclusivity (3.38) constrained further improvement. The UVI model offers urban planners a practical, replicable tool to benchmark and enhance vibrancy performance in urban mixed-use contexts, supported by a computationally transparent and data-rich evaluation process.</p>

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A data-driven index to evaluate urban vibrancy in mixed-use projects within Cairo’s new urban communities: an empirical implementation on Arkan Plaza

  • Aly A. Kamal,
  • Sherine M. Wahba,
  • Sherin A. Gammaz

摘要

Urban vibrancy reflected through the intensity of human activity, social engagement, and spatial diversity is essential to the success of mixed-use developments, particularly in Egypt’s rapidly expanding new urban communities. Despite their intended roles as dynamic urban nodes, many of these projects struggle to achieve vibrancy due to socio-spatial fragmentation, accessibility challenges, and limited inclusivity. This study introduces a novel Urban Vibrancy Index (UVI), developed through a data-driven methodology combining statistical modeling and computational tools, to quantitatively assess vibrancy across 21 mixed-use projects representing four generations of new cities within Greater Cairo. The methodology integrates 840 structured survey responses (630 visitors and 210 employees) with on-site observational audits. Seventeen vibrancy-related variables were analyzed and grouped into four key dimensions: foundational conditions (31%), social dynamics (27%), spatial accessibility (25%), and economic diversity (17%). Factor analysis was conducted using SPSS to ensure statistical validity (KMO = 0.846), while Python was employed for data processing, normalization, and automated scoring, ensuring replicability and consistency of the UVI computation. The index was empirically applied to Arkan Plaza, yielding a UVI score of 0.777 on a 0–1 scale, positioning it as a “Good” performer. While strong in policy alignment (4.6/5), intensity (4.09), and proximity to amenities (4.3), limitations in social interaction (3.23) and inclusivity (3.38) constrained further improvement. The UVI model offers urban planners a practical, replicable tool to benchmark and enhance vibrancy performance in urban mixed-use contexts, supported by a computationally transparent and data-rich evaluation process.