The unique Traditional Islamic architecture characterizes some cities in the Arab Republic of Egypt. Also, the predictive models can potentially be used in other livable historic cities. Such results would help authorities formulate suitable and sustainable strategies for the adequate performance of heritage buildings. Finally, the resulting models highlighted the importance of investigating the socio-spatial properties around heritage buildings to predict human destructive behaviours based on quantitative analytical methods. These factors served as inputs for multiple linear regression analysis as predictive models of the influence of socio-spatial vulnerability on the assessed contextual anthropogenic hazards. Furthermore, the exploratory factor analysis was employed to statistically analyse the syntactic output data to develop fewer factors of socio-spatial vulnerability. Moreover, the research employed two main analytical methods of space syntax, axial graph, and visual graph analyses, which were achieved by “Depthmap 4” software to investigate the syntactic context of the study area. Space syntax provides a better understanding of space, its structure, and how it affects human behaviour. Afterwards, the literature review was conducted to explore a new paradigm for assessing vulnerable spaces using the space syntax-based methodology. Firstly, the research employed the Delphi technique and ICCROM-CCI-RCE method to assess the potential rates of contextual anthropogenic hazards in the study area. The research’s methodology relies on multi-methods applied to twenty-eight heritage buildings in historic Cairo, Egypt. Additionally, the research explores the predictive relationship between these properties and contextual anthropogenic hazards. This research aims to assess vulnerable spaces around heritage buildings concerning their socio-spatial properties. The research value lies in exploring how to re-image urban heritage via relocating the places reused with unsuitable activities through Space Syntax. The disconnected district can be used as a commercial zone for the movable vendors, to which human flow can be successfully directed in order to reduce the density in the more connected spaces. The existing commercial activities can be classified into movable activities – which can be easily relocated – and shop-based, which need a developmental approach in their original locations. Moving from one space to another, it was found that well-connected spaces have higher movement density, such as Al Souk Street, while less dense spaces can tolerate more movement without conflicting with highly dense ones. The re-usage of the Rosetta old core was not originally planned as commercial and to host movable vendors, but the core was forced to adapt afterwards to suit this usage, while the Souk and those big new residential building urban blocks have clearly deformed the historic image of the Rosetta historic core. The research methodology follows the combined strategy between three methods of research: a SWOT analysis, to reveal the historic core status an experimental research approach, which stimulates the chosen area via Space Syntax and the third is a case study of the Rosetta historic core. These strategies are to be fulfilled using Space Syntax as an urban analysis tool, in the context of “connectivity analysis.” The purpose of this paper is to develop strategies of re-imaging the Rosetta historic district through choosing the suitable uses and their specific locations in compliance with the urban design fabric of the historic core.
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