Through automation, future mobility has the potential to offer services to a broader range of users than ever before. A potential of automated driving is that people without a driver’s license could
use the system, such as cognitively or physically impaired : children , older adults [4, 8], and people with disabilities . On the one hand, for these vulnerable social groups, automated vehicles could help to overcome mobility access barriers and better participate in social life, work, and education. On the other hand, automated vehicles could even increase access barriers when mobility services are built around pure economic considerations. Yet, on-demand and shared mobility concepts make future automated vehicle services more affordable and accessible. Recent works looked into the design requirements, e.g., automatic doors, of shared rides from an older adults perspective  or emphasized the needs of women  or vision impaired  in such settings. Also, the importance of inclusive communication outside of automated vehicles with other road users that are vision-impaired has been stressed by . However, the accessibility requirements between different groups of impairments might differ, e.g., differ in the way they navigate . Just recently there have been efforts made to push the inclusive and accessible design research, e.g., by workshops of Löcken et al.  or Owens et al. . Overall, there is comparably less research on the non-average users of mobility services. Therefore, it is vital to even raise awareness for the inclusive design of future mobility services and reflect on current automotive design and research practices.
 Robin N. Brewer and Vaishnav Kameswaran. 2019.Understanding Trust, Transportation, and Accessibility through Ridesharing. Association forComputing Machinery, New York, NY, USA, 1–11. https://doi.org/10.1145/3290605.3300425
 Mark Colley, Marcel Walch, Jan Gugenheimer, Ali Askari, and Enrico Rukzio. 2020. Towards Inclusive External Communication of AutonomousVehicles for Pedestrians with Vision Impairments. InProceedings of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI,USA)(CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–14. https://doi.org/10.1145/3313831.3376472
 Henrik Detjen, Bastian Pfleging, and Stefan Schneegass. 2020. A Wizard of Oz Field Study to Understand Non-Driving-Related Activities, Trust, andAcceptance of Automated Vehicles. In12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (Virtual Event,DC, USA)(AutomotiveUI ’20). Association for Computing Machinery, New York, NY, USA, 19–29. https://doi.org/10.1145/3409120.3410662
 Katharina Diepold, Kerstin Götzl, Andreas Riener, and Anna-Katharina Frison. 2017. Automated Driving: Acceptance and Chances for Elderly People.InProceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct (Oldenburg, Germany)(AutomotiveUI ’17). Association for Computing Machinery, New York, NY, USA, 163–167. https://doi.org/10.1145/3131726.3131738
 Aaron Gluck, Kwajo Boateng, Earl W. Huff Jr., and Julian Brinkley. 2020. Putting Older Adults in the Driver Seat: Using User Enactment to Explore theDesign of a Shared Autonomous Vehicle. In12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (VirtualEvent, DC, USA)(AutomotiveUI ’20). Association for Computing Machinery, New York, NY, USA, 291–300. https://doi.org/10.1145/3409120.3410645
 Maya Gupta, Ali Abdolrahmani, Emory Edwards, Mayra Cortez, Andrew Tumang, Yasmin Majali, Marc Lazaga, Samhitha Tarra, Prasad Patil, RaviKuber, and Stacy M. Branham. 2020. Towards More Universal Wayfinding Technologies: Navigation Preferences Across Disabilities. InProceedings ofthe 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA)(CHI ’20). Association for Computing Machinery, New York,NY, USA, 1–13. https://doi.org/10.1145/3313831.3376581
 Andreas Löcken, Mark Colley, Andrii Matviienko, Kai Holländer, Debargha Dey,
Azra Habibovic, Andrew L Kun, Susanne Boll, and Andreas Riener. 2020. We-
CARe: Workshop on Inclusive Communication between Automated Vehicles and
Vulnerable Road Users. In 22nd International Conference on Human-Computer In-
teraction with Mobile Devices and Services (Oldenburg, Germany) (MobileHCI ’20).
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 Karen Lucas and Peter Jones. 2012. Social impacts and equity issues in transport: an introduction. Journal of Transport Geography 21 (2012), 1–3.
 Justin M. Owens, Laura Sandt, Azra Habibovic, Sarah Rebolloso McCullough,
Ryan Snyder, Robert Wall Emerson, Pravin Varaiya, Tabitha Combs, Fred Feng,
Mohammed Yousuf, and Bernard Soriano. 2019. Automated Vehicles and Vulnera-
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 Martina Schuß, Philipp Wintersberger, and Andreas Riener. 2021. Let’s Share a Ride into the Future: A Qualitative Study Comparing Hypothetical Implementation Scenarios of Automated Vehicles. In Proceedings of the 2021 CHI Conference on Human Factors in Computing System, Yokohama, Japan