ABSTRACT. We draw on a substantial body of theoretical and empirical research on sensing and computing technologies, intelligent vehicular networks, and big data-driven algorithmic decision-making in smart sustainable urbanism, and to explore this, we inspected, used, and replicated survey data from AAA, ANSYS, Atomik Research, AUDI AG, Deloitte, eMarketer, Gallup, Ipsos, KPMG, McKinsey, Morning Consult, Pew Research Center, SAE, Schoettle & Sivak (2014), and Statista, performing analyses and making estimates regarding public acceptance of and intention to use self-driving cars. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.
Keywords: smart; sustainable; urbanism; vehicular network; big data; sensor
How to cite: Konecny, V., Barnett, C., and Poliak, M. (2021). “Sensing and Computing Technologies, Intelligent Vehicular Networks, and Big Data-driven Algorithmic Decision-Making in Smart Sustainable Urbanism,” Contemporary Readings in Law and Social Justice 13(1): 30–39. doi: 10.22381/CRLSJ13120213.
Received 16 March 2021 • Received in revised form 3 July 2021
Accepted 8 July 2021 • Available online 15 July 2021