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<p>Smart bus services, as a typical example of smart mobility solutions, play an irreplaceable and crucial role in urban development, green and sustainable growth, and enhancing personal travel convenience. However, in the context of an increasingly aging population, how to help older adults better benefit from technological advancements remains an underexplored but critical issue. Therefore, this study adopts Behavioral Reasoning Theory as the research framework and employs factor analysis and structural equation modeling to construct a comprehensive user experience evaluation scale for elderly smart bus users, alongside a user behavior model. Additionally, age-based group modeling was conducted to compare different elderly age groups and explore their behavioral logic. The study finds that older adults’ values positively influence all user experience factors. Specifically, Usefulness and Social Equity positively affect both user attitudes and usage intentions; Social Interaction, Service Quality Deficiencies, and Low Information Accessibility influence usage intentions indirectly through user attitudes; while Management and Operational Chaos and Poor Environmental Atmosphere have a direct effect on usage intentions. Moreover, the behaviors of elderly individuals aged 50–59 are relatively more malleable, making this age range a prime stage for “active aging” interventions. This study provides theoretical support and practical guidance for age-friendly design in related industries and partially fills a gap in prior research.</p>

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Research on the usage intention of aging-friendly smart mobility services based on behavioral reasoning theory: a case study of smart bus services

  • 期刊论文

  • 发表日期：

    2026年5月20日

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  • Zheng Wang,
  • Marijke Melles,
  • Rong Deng,
  • Armagan Albayrak,
  • Zhiyuan Wang,
  • Dongjuan Xiao,
  • Jiangsu Lu

摘要

Smart bus services, as a typical example of smart mobility solutions, play an irreplaceable and crucial role in urban development, green and sustainable growth, and enhancing personal travel convenience. However, in the context of an increasingly aging population, how to help older adults better benefit from technological advancements remains an underexplored but critical issue. Therefore, this study adopts Behavioral Reasoning Theory as the research framework and employs factor analysis and structural equation modeling to construct a comprehensive user experience evaluation scale for elderly smart bus users, alongside a user behavior model. Additionally, age-based group modeling was conducted to compare different elderly age groups and explore their behavioral logic. The study finds that older adults’ values positively influence all user experience factors. Specifically, Usefulness and Social Equity positively affect both user attitudes and usage intentions; Social Interaction, Service Quality Deficiencies, and Low Information Accessibility influence usage intentions indirectly through user attitudes; while Management and Operational Chaos and Poor Environmental Atmosphere have a direct effect on usage intentions. Moreover, the behaviors of elderly individuals aged 50–59 are relatively more malleable, making this age range a prime stage for “active aging” interventions. This study provides theoretical support and practical guidance for age-friendly design in related industries and partially fills a gap in prior research.