What influences elderly tourists’ acceptance of autonomous sightseeing vehicles in scenic areas? A mixed-methods study

Xianghua Fan & Wen-Lei Pan

Work, Aging and Retirement2025https://doi.org/10.1093/workar/waaf010article
AJG 2ABDC B
Weight
0.37

What the paper says

Abstract Traditional modes of tourism have undergone a profound transformation with the advancement of technology, and the emergence of autonomous driving technology offers unprecedented possibilities for enhancing the travel experiences of tourists, especially for elderly tourists. This study aimed to explore the factors influencing elderly tourists’ acceptance of autonomous sightseeing vehicles in scenic areas, using a mixed-methods approach that integrated in-depth interviews, grounded theory coding, structural equation modeling, and fuzzy-set qualitative comparative analysis (fsQCA). The findings revealed 7 key factors—trust, performance expectancy, closed-mindedness, tourism fatigue, and unusual environments—that significantly impact acceptance. Trust emerged as a critical and consistent factor across all configurations, while performance expectancy and context-specific variables, such as tourism fatigue and unusual environments, exhibited varying effects. In contrast, closed-mindedness exhibits a significant negative effect, while social influence and prior knowledge show more complex effects. Additionally, fsQCA analysis uncovers three distinct paths leading to high levels of acceptance. These insights provide a robust theoretical foundation for improving elderly tourists’ acceptance of autonomous sightseeing vehicles in scenic areas.

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https://doi.org/https://doi.org/10.1093/workar/waaf010

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@article{xianghua2025,
  title        = {{What influences elderly tourists’ acceptance of autonomous sightseeing vehicles in scenic areas? A mixed-methods study}},
  author       = {Xianghua Fan & Wen-Lei Pan},
  journal      = {Work, Aging and Retirement},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1093/workar/waaf010},
}

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.