Internet of Things Sensors and Digital Urban Governance in Data-driven Smart Sustainable Cities
Internet of Things Sensors and Digital Urban Governance in Data-driven Smart Sustainable Cities

Summary/Abstract: We draw on a substantial body of theoretical and empirical research on Internet of Things sensors and digital urban governance in data-driven smart sustainable cities, and to explore this, we inspected, used, and replicated survey data from BDO, Bentley, ESI ThoughtLab, ICMA, KPMG, RICS, SSC, and World Economic Forum, performing analyses and making estimates regarding how Internet of Things-enabled smart cities harness interconnected sensor networks and machine learning-based analytics. Data-driven planning technologies and machine learning-based analytics articulate networked and integrated sustainable urban technologies. Smart and environmentally sustainable cities leverage Internet of Things sensing infrastructures. Integrating Internet of Things sensing infrastructures furthers the ad- vancement of groundbreaking services and sensor-based big data applications across Internet of Things-enabled smart cities. Networked and integrated sustainable urban technologies can be pivotal in the development of sustainable urban governance net- works. Deep learning can assist Internet of Things sensing infrastructures in smart sustainable city governance and management. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

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