A Systematic Text-Analytics-Based Meta-Synthesis Approach for Smart Urban Development

Abstract

‘Smart’ has become a leitmotif that is widely assumed to reach the goals of urban sustainability and improve the living standards of people. Though there is an exponential increase in the smart cities' research during the last two decades, the concept is still silent about the importance of existing cities and communities to achieve Smart Urban Development (SUD). Authors propose a Systematic Literature Search and Review framework, coupled with deductive text computational and inductive grounded theory methods for the meta-synthesis. This study contributes to the present research landscape by facilitating urban professionals for framing integrated strategies, instead of blindly fixing the urban spaces with technological components. The automated text analysis for meta-synthesis is a novel approach for analyzing a diverse concept like Smart City, by eliminating chances of human errors. The findings conclude that the three-dimensional objectives of SUD are achieving sustainable development, high quality of life, and inclusive development.