Necessity and Proposed Procedure for a Classification of Security Features in Shared Automated Vehicles Based on the Kano Model

Shared automated vehicles (SAVs) will contribute to tackling several of today’s mobility problems. In rural areas, they will help to improve transport links to underserved regions and in congested urban environments, they have the potential to free up valuable road space by bundling individual journeys. However, their beneficial effect is strongly dependant on high acceptance rates. In conventional shared mobility concepts, non-verbal, verbal or physical assaults on passengers by fellow travellers are a major obstacle to acceptance and negatively influence usage rates. There is reason to assume that harassment and other anti-social behaviour will also take place in SAVs and prior studies were able to identify in-vehicle security as a major passenger concern. In order to achieve high acceptance rates and benefit from the advantages SAVs can bring, it is indispensable to provide users with vehicle interiors that ensure a secure and fearless journey. Currently, little is known about user preferences regarding possible security features and there are no interior concepts that prioritize in-vehicle security. Furthermore, there is so far no classification of security features that could serve as a guideline for vehicle manufacturers. This paper suggests the use of the Kano-Model as a way to efficiently assess and categorise different in-vehicle security features and proposes a dual method approach to experimental validation.