Development strategies for an advanced air mobility network in the Guangdong–Hong Kong–Macao Greater Bay Area
  • Start Time：2025/01
  • Expected Completion time：2027/12
  • Research funding： Strategic Public Policy Research Funding (SPPR)
  • Professors from Caeser：Professor ZHU Pengyu(PI)
  • Project proposed budget ：HK$4.94 million

 

Work Plan for 2025/27

  1. Analyzing demand characteristics, customer utility, and competitive market structures to inform the development of regulatory and management policies for the Advanced Air Mobility (AAM) sector. This includes constructing utility models for both public and private stakeholders, and evaluating how different market structures and regulatory settings affect network performance and policy outcomes.
  2. Designing AAM infrastructure by identifying optimal locations for vertiports and determining efficient low-altitude air routes under multiple planning scenarios. The objective is to enhance throughput, safety, and operational efficiency while minimizing noise, environmental impact, and social disruptions.
  3. Building an integrated three-dimensional (3D) simulation platform that leverages machine learning, optimization algorithms, and operational modeling to support infrastructure planning, route design, and policy evaluation. The framework enables stakeholders to assess trade-offs and make evidence-based decisions that ensure safety, sustainability, and effective governance of AAM systems in the Greater Bay Area.