The Algorithmic Governance of Connected Autonomous Vehicles: Data-driven Decision Support Systems and Smart Sustainable Urban Mobility Behaviors
The Algorithmic Governance of Connected Autonomous Vehicles: Data-driven Decision Support Systems and Smart Sustainable Urban Mobility Behaviors

Summary/Abstract: I draw on a substantial body of theoretical and empirical research on the algorithmic governance of connected autonomous vehicles, and to explore this, I inspected, used, and replicated survey data from AAA, ANSYS, Atomik Research, AUVSI, BCG, Brookings, Capgemini, CivicScience, GenPop, Ipsos, Perkins Coie, Statista, and World Economic Forum, performing analyses and making estimates regarding data-driven decision support systems and smart sustainable urban mobility behaviors. Structural equation modeling was used to analyze the data and test the proposed conceptual model.

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