报告题目：Choice-Driven Multi-Period Service Design for Advanced Air Mobility
报告人：Dr. Yu Jiang
邀请人：钟绍鹏 教授
报告时间及地点：2025年12月9日 经济管理学院B305 14：00-16：00
报告人简况：
Dr Yu Jiang is an associate professor at Lancaster University Management School, United Kingdom and an associate professor at the Technical University of Denmark (Part Time). Prior to this, he worked at Oxford University and received his PhD from the Hong Kong University. According to Web of Science, he is a top author worldwide in the field of “transit assignment,” focusing on predicting public transport passenger route choices using mathematical models, and is listed among the World's Top 2% Scientists by Stanford University/Elsevier. He is a reviewer for leading international journals and has been invited to review grant applications by prestigious funding councils. His work has been funded by the European Union, Danmarks Frie Forskningsfond, the Otto Mønsted Foundation, the EuroTech Alliance and the Royal Society of the United Kingdom.
报告内容摘要：
Advanced Air Mobility is poised to become a novel and competitive alternative for urban and regional travel, and service network planning is key to ensuring its economic viability for operators. To this end, we propose a framework for AAM Service Design that jointly optimises vertiport locations, vertiport capacity, service frequency, and pricing strategies, while capturing the interdependence between passenger travel choices and service design, with the goal of maximising overall profitability over a multi-period time horizon. To overcome the computational challenges of integrating a choice model into the problem, we devise an exact approach that transforms the Mixed-Integer Nonlinear Programming model into an Integer Linear Programming model. Our approach substantially outperforms traditional linearisation approaches in terms of computational efficiency and solution quality. We employ the proposed model with experiments based on the existing UK railway network, covering 30 cities. Our results reveal a strong interdependence between vertiport and electric vertical takeoff and landing aircraft investments, highlighting that coordinated allocation is essential to maximise overall profitability. As expected, the benefits of AAM are most pronounced for city pairs where ground transport involves longer travel times. Furthermore, our sensitivity analysis demonstrates that the optimal service network is highly dependent on the utility coefficients in the choice model, underscoring the necessity of incorporating the choice model and the need for accurate parameter estimation in the choice-driven service design.
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