Big Data-driven Urban Geopolitics, Interconnected Sensor Networks, and Spatial Cognition Algorithms in Smart City Software Systems
Big Data-driven Urban Geopolitics, Interconnected Sensor Networks, and Spatial Cognition Algorithms in Smart City Software Systems

Summary/Abstract: This paper analyzes the outcomes of an exploratory review of the current research on big data-driven urban geopolitics, interconnected sensor networks, and spatial cognition algorithms in smart city software systems. The data used for this study was obtained and replicated from previous research conducted by Capgemini, City of Sydney, ESI ThoughtLab, and KPMG. We performed analyses and made estimates regarding how smart cities integrate groundbreaking wireless sensors, big data, and sustainable technologies. Networked and integrated sustain- able urban technologies store and transmit significant quantities of sensing data. Data-driven planning technologies and sensor-based big data applications articulate the smart infrastructure of urban governance. Data collected from 5,800 respondents are tested against the research model. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

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