Sensing and Computing Technologies, Intelligent Vehicular Networks, and Big Data-driven Algorithmic
Decision-Making in Smart Sustainable Urbanism
Sensing and Computing Technologies, Intelligent Vehicular Networks, and Big Data-driven Algorithmic
Decision-Making in Smart Sustainable Urbanism
Author(s): Vladimir Konečný, Colin Barnett, Miloš PoliakSubject(s): Social development
Published by: Addleton Academic Publishers
Keywords: smart; sustainable; urbanism; vehicular network; big data;sensor and mapping technologies;
Summary/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.
Journal: Contemporary Readings in Law and Social Justice
- Issue Year: 13/2021
- Issue No: 1
- Page Range: 30-39
- Page Count: 10
- Language: English
- Content File-PDF
