Societal acceptance of advanced aerial mobility in China’s Greater Bay Area among young- and middle-aged adults

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

In an era of rapid urbanisation and technological innovation, Advanced Aerial Mobility (AAM) – an innovative transport mode utilising electric vertical take-off and landing (eVTOL) aircraft – has evoked debates about its the potential to address various urban transportation challenges. This study examines the societal acceptance of AAM in China’s Greater Bay Area (GBA), a region grappling with air pollution, traffic congestion, and cross-border mobility issues. By synthesising the Theory of Planned Behaviour (TPB) and Technology Acceptance Model (TAM), we propose an extended model that incorporates trust as a crucial construct. The proposed model was tested with a survey of 988 young- to middle-aged GBA residents, and structural equation modelling results confirmed the model’s validity, explaining 61% of the variance in AAM usage intention. In the proposed model, all TPB and TAM factors are significant, while trust emerged as the most significant factor in explaining the acceptance of AAM. Multigroup analyses offered further insights: perceived usefulness and subjective norms significantly influence young adults’ intentions, while perceived behavioural control plays a pivotal role in shaping men’s inclination towards AAM adoption. These findings not only contribute to the theoretical understanding of technology acceptance but also offer valuable practical implications for informing the design, implementation, and regulation of AAM development in the GBA and beyond. By illuminating the factors driving AAM acceptance, this study paves the way for reimagining the future of urban mobility.
Original languageEnglish
Pages (from-to)88-103
Number of pages16
JournalTransportation Research Part F: Traffic Psychology and Behaviour
Volume110
Early online date13 Feb 2025
DOIs
Publication statusPublished - Apr 2025

Bibliographical note

The authors wish to express our gratitude to the handling editors, Prof. Patricia Delhomme and Professor Carlo Prato, as well as the other anonymous reviewers who were so patient and provide many constructive comments to this paper. This work will never have its current shape without your contributions.

Publisher Copyright: © 2025 The Author(s)

Funding

This work was supported by the Faculty Research Grant [GSFG/22/13] and Direct Grant [DR24E2] from Lingnan University.

UN SDGs

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

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Advanced aerial mobility
  • Advanced air mobility
  • Technology acceptance
  • Theory of planned behavior
  • Trust
  • Urban air mobility

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