Abstract
Observation of global smart city trends shows a shift in focus from sector-based interventions towards integrated decision-making informed by Big Data. This move towards integration is evident in the emergence of Integrated City Management Platforms (ICMPs). Despite the deluge of data generated by ICMPs and the accompanying growth in computing power, limited research has been conducted on exploring the use of this data to develop quantitative tools for integrated smart city planning and management. In this study, the Design Science Research process was followed to develop and evaluate a modelling framework aimed at exploring the use of ICMP data to identify synergies and dependencies across smart city sectors. This paper provides a summary of framework design and implementation and discusses the Design Science Knowledge gained from the exercise.
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