Ethical concerns of aging and gender in autonomous taxis
Bibliographic Data
| ID | 11233551 |
|---|---|
| Authors | Shizhen Jia (0000-0002-4631-2881, University of Florida, corresponding author), Oscar Hengxuan (0000-0001-7116-6663, University of Florida), Oscar Hengxuan Chi, Elena Hwirim Jo (University of Florida), Mia Yu (University of Florida) |
| Year | 2025 |
| Volume | 111 |
| Pages | 103930 |
| Publication date | 2025-03-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Annals of Tourism Research (JOURNAL) |
| Journal identifiers | ISSN: 0160-7383 • E-ISSN: 1873-7722 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.annals.2025.103930 |
| OpenAlex | W4407873251 |
| Language | EN |
| References cited | 61 |
Sociology · Taxis · Transport engineering · Engineering · Human-Automation Interaction and Safety · Older Adults Driving Studies · Psychology · Transportation and Mobility Innovations
The Sage Handbook of Qualitative Data Analysis
Investigating the Importance of Trust on Adopting an Autonomous Vehicle
At the Intersection of Emotion and Cognition
Mobility, accessibility and quality of later life
When Does Technology Use Enable Network Change in organizations? A comparative Study of Feature Use and Shared Affordances1
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Governing autonomous vehicles
Perceptions of autonomous vehicles
Humans and Automation
Assessing measurement model quality in PLS-SEM using confirmatory composite analysis
When to use and how to report the results of PLS-SEM
Transparent to whom? No algorithmic accountability without a critical audience
Fear of AI
Information and Communication Technologies in Tourism 2017
Sustainable tourism, justice and an ethic of care
Seeing without knowing
The disruptive potential of autonomous vehicles (AVs) on future low-carbon tourism mobility
Protection as care
Autonomous vehicles and the future of urban tourism
Qualitative research
Qualitative inquiry and research design
Transparency you can trust
Drivers are blamed more than their automated cars when both make mistakes
How Many Interviews Are Enough
Resistance to Medical Artificial Intelligence
| Highly cited | No |
|---|