Skip to main content

Research Repository

Advanced Search

In with the new? Generational differences shape population technology adoption patterns in the age of self-driving vehicles

Ruggeri, Kai; K�cha, Ond?ej; Menezes, Igor G.; Kos, Michaela; Franklin, Matija; Parma, Laurie; Langdon, Patrick; Matthews, Brian; Miles, John


Kai Ruggeri

Ond?ej K�cha

Igor G. Menezes

Michaela Kos

Matija Franklin

Laurie Parma

Brian Matthews

John Miles


With rapid growth of self-driving vehicle technologies, policymakers and industry are actively engaging the public to understand attitudes toward smart mobility. As public officials explore implementing connected systems, they may find diverse reactions. We present an important insight using precise technology adoption curves for three age groups within a major initiative in the United Kingdom, going beyond theoretical expectations. Specifically, the adaptation of self-driving cars reflects the patterns of adaptation to previous technologies. Furthermore, older participants were more likely to be late adopters of the technology than younger participants. Implications from these insights offer the opportunity to enhance public engagement and optimize the implementation of such systems, thereby maximizing population benefits.

Journal Article Type Article
Acceptance Date Sep 12, 2018
Online Publication Date Sep 27, 2018
Publication Date 2018-10
Deposit Date Jan 13, 2020
Journal Journal of Engineering and Technology Management
Print ISSN 0923-4748
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 50
Pages 39-44
Public URL