ABSTRACT. Based on an in-depth survey of the literature, the purpose of the paper is to explore connected and networked driving. Using and replicating data from AAA, Adobe Analytics, ANSYS, Atomik Research, AUVSI, Axios, Deloitte, EY, Ipsos, McKinsey, Perkins Coie, SAE, and Schoettle & Sivak (2014), I performed analyses and made estimates regarding smart mobility technologies, urban transportation systems, and big data-driven algorithmic decision-making. Data were analyzed using structural equation modeling.

Keywords: connected; networked; driving; smart mobility; big data; transportation

How to cite: Allen, M. (2020). “Connected and Networked Driving: Smart Mobility Technologies, Urban Transportation Systems, and Big Data-driven Algorithmic Decision-Making,” Contemporary Readings in Law and Social Justice 12(2): 79–87. doi:10.22381/CRLSJ12220209

Received 11 June 2020 • Received in revised form 6 November 2020
Accepted 8 November 2020 • Available online 10 November 2020

Margaret Allen
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Big Data Analytics Research Unit
at ISBDA, Edinburgh, Scotland

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