Enhancing public acceptance of the Advanced Air Mobility (AAM) ecosystem technology: Exploring conceptual theoretical frameworks and regulatory support
The advent of Advanced Air Mobility (AAM) can potentially improve urban transportation by proposing a transformational vision of aerial mobility to transport people and parcels, with the advanced capacity of Unmanned Aircraft System (UAS) which now has expanded the concept to include not only with Drones but also other type of aerial vehicles such as eVTOL aircraft. This could foster the development of smart city vision in many countries. However, to implement this emergent technology in wider society, public acceptance needs to be addressed. Even though there is a regulation related to drone operation, making people aware is also paramount to ensure that they will perceive the operation of drones as being able to support a better society and will lead to more effective deployment of this technology ecosystem. This paper aims to investigate the relevant conceptual framework to support the facilitation of the Advanced Air Mobility (AAM) Ecosystem, the readiness for drone operation in wider society and, especially, explore how to gain more public acceptance in terms of building trust in communities, focusing on the role of existing regulatory frameworks in shaping a harmonious and accepted future. This study will provide an overview of the AAM ecosystem depiction and the initial strategy to help gain more acceptance from the public., especially with its infrastructure and facilitation to support this technology through building awareness of relevant regulatory safeguards.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
2024 International Conference on Unmanned Aircraft Systems (ICUAS)Source
The 2024 International Conference on Unmanned Aircraft Systems, ICUAS ’24Publisher
IEEEVersion
- AM (Accepted Manuscript)
Rights holder
© IEEEPublisher statement
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Acceptance date
2024-04-06Publication date
2024-06-19Copyright date
2024ISBN
9798350357882; 9798350357899ISSN
2373-6720eISSN
2575-7296Publisher version
Language
- en