Privacy and Security in Data-Driven Urban Mobility

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.

Original document

The different versions of the original document can be found in:

• http://dx.doi.org/10.4018/978-1-5225-4963-5.ch004

• http://pdfs.semanticscholar.org/49ef/b4177052bc32f72e6d4eed5639f5870ff462.pdf

• https://www.igi-global.com/chapter/privacy-and-security-in-data-driven-urban-mobility/209570,

https://academic.microsoft.com/#/detail/2866061142

• https://www.igi-global.com/viewtitle.aspx?TitleId=209570,

http://dx.doi.org/10.4018/978-1-5225-4963-5.ch004