Internet of things sensing infrastructures and data-driven planning technologies in smart sustainable city governance and management

Abstract

The aim of this paper is to synthesize and analyze existing evidence on Internet of Things sensing infrastructures and data-driven planning technologies in smart sustainable city governance and management. Using and replicating data from CB Insights, Deloitte, ESI ThoughtLab, KPMG, ICMA, SCC, and UNECE, we performed analyses and made estimates regarding how smart cities necessitate Internet of Things sensing infrastructures for integrating embedded tools and networked devices. Smart and environmentally sustainable cities deploy Internet of Things sensing infrastructures. Data-driven planning technologies have been reconfigured for sustainable environment. Administering and inspecting big data produced from Internet of Things sensing infrastructures through artificial intelligence algorithms is crucial in urban analytics. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.