Abstract

Integrated statistical-theoretical based approaches in decision support promise to support effective investment decision making. From this view, this paper proposes an innovative methodology to digitally indicate the true developmental level of villages (the smallest Egyptian local units), which would accordingly provide a precise guidance for fair investments' allocation according to their needs' priorities. This would be achieved through testing 158 variables; taking Farscour district in Damietta Governorate in Egypt as a case study. Accordingly, this paper comes out with a statistical methodology that enables decision makers' map out the most deteriorated local communities and to set up investment priorities.Keywords: Socio-cultural Aspects; Urbanization; Local Communities' Needs; Development Challenges; Investment PrioritieseISSN 2398-4295 © 2018. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.

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