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 advancement 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 networks. 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.

Keywords: Internet of Things; sensor; smart city; sustainability; urban; governance

How to cite: Gray, M., and Kovacova, M. (2021). “Internet of Things Sensors and Digital Urban Governance in Data-driven Smart Sustainable Cities,” Geopolitics, History, and International Relations 13(2): 107–120. doi: 10.22381/GHIR13220218.

Received 16 June 2021 • Received in revised form 4 October 2021
Accepted 8 October 2021 • Available online 10 October 2021