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Advanced Autonomous Vehicle Acceptance Model (AAVAM) for Promoting Accessible Travel

Liling Chen, Liu Yang, Xin Luan, Liying Yang, Yicong Song, Shengfeng Qin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The rise of autonomous driving technology offers new opportunities for accessible travel for the elderly population. However, to ensure that this technology meets the specific needs of the elderly, it is essential to understand their acceptance of autonomous vehicles and the factors that influence it. This study proposes the Advanced Autonomous Vehicle Acceptance Model (AAVAM) to systematically explore the acceptance of autonomous vehicles by the elderly at different stages of the vehicle's life cycle (before purchase, during use, and at the end of life). By comprehensively considering factors from product, service, and system aspects, the AAVAM model provides a theoretical basis for designing and providing autonomous vehicle solutions that meet the needs of the elderly.
Original languageEnglish
Title of host publicationThe 29th International Conference on Automation and Computing (ICAC2024)
Place of PublicationPiscataway, US
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Electronic)9798350360882
ISBN (Print)9798350360899
DOIs
Publication statusPublished - 28 Aug 2024
EventThe 29th International Conference on Automation and Computing (ICAC 2024): Smart Systems and Digital Healthcare - Sunderland, United Kingdom
Duration: 28 Aug 202430 Aug 2024
https://cacsuk.co.uk/icac/

Conference

ConferenceThe 29th International Conference on Automation and Computing (ICAC 2024)
Country/TerritoryUnited Kingdom
CitySunderland
Period28/08/2430/08/24
Internet address

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Keywords

  • Autonomous vehicles
  • elderly population
  • acceptance model
  • social inclusion

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