Abstract

A wide range of smart mobility technologies are being deployed within urban environment. These technologies generate huge quantities of data, much of them in real-time and at a highly granular scale. Such data about mobility, transport, and citizens can be put to many beneficial uses and, if shared, for uses beyond the system and purposes for which they were generated. Jointly, these data create the evidence base to run mobility services more efficiently, effectively, and sustainably. However, generating, processing, analyzing, sharing, and storing vast amounts of actionable data also raises several concerns and challenges. For example, data privacy, data protection, and data security issues arise from the creation of smart mobility. This chapter highlights the various privacy and security concerns and harms related to the deployment and use of smart mobility technologies and initiatives, and makes suggestions for addressing apprehensions about and harms arising from data privacy, protection, and security issues.

Highlights

  • A wide range of smart mobility technologies are being deployed within urban environment

  • Transport, and citizens can be put to many beneficial uses and, if shared, for uses beyond the system and purposes for which they were generated

  • Data privacy, data protection, and data security issues arise from the creation of smart mobility

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Summary

Introduction

The concept of a data-driven mobility involves an intensive use of information technologies for collecting and processing the information that the city generates using the sensors deployed or other data sources, such as traffic cameras or any other source of unstructured information. Transport, and citizens can be put to many beneficial uses and, if shared, for uses beyond the system and purposes for which they were generated. Generating, processing, analyzing, sharing, and storing vast amounts of actionable data raises several concerns and challenges.

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