Journal article
Insuring future automobility: a qualitative discussion of British and Dutch car insurer's responses to connected and automated vehicles
- Abstract:
- Connected and Automated vehicles (CAVs) are transforming road-transport. Within this transformation, motor vehicle insurers are one of the key involved stakeholders. This paper explores car insurers' expectations, challenges and activities around the development of CAVs. It draws on a literature review and 31 semi-structured interviews with insurers and other experts in the United Kingdom and the Netherlands. The analysis confirms challenging, simultaneous local and international, discussions about 1) the shift in liability from drivers to automated driving systems, 2) a commercial conflict over in-vehicle data access and 3) the future of shared mobility. Interviewees anticipate that the outcome of these discussions will affect their underwriting, risks, claims processes, business models, product offerings and competitive strategies. Simultaneously, insurers respond to these challenges and affect them as they move forward, thereby helping shape the regulatory frameworks of future CAV mobility. They do so in various ways, which differ across countries and insurers, yet generally can be classified into three typical activities: (non) participation in pilot-projects, lobbying and learning. The paper concludes with a number of political and scholarly reflections.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 508.5KB, Terms of use)
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- Publisher copy:
- 10.1016/j.rtbm.2022.100903
Authors
- Publisher:
- Elsevier
- Journal:
- Research in Transportation Business and Management More from this journal
- Volume:
- 45
- Issue:
- Part C
- Article number:
- 100903
- Publication date:
- 2022-10-18
- Acceptance date:
- 2022-10-06
- DOI:
- EISSN:
-
2210-5409
- ISSN:
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2210-5395
- Language:
-
English
- Keywords:
- Pubs id:
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1286359
- Local pid:
-
pubs:1286359
- Deposit date:
-
2022-10-21
Terms of use
- Copyright holder:
- Johannes Kester
- Copyright date:
- 2022
- Rights statement:
- © 2022 The Author. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
- Licence:
- CC Attribution (CC BY)
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