941. Choice-Driven Multi-Period Network Design for Advanced Air Mobility
Invited abstract in session WB-59: Transportation network design , stream Transportation.
Wednesday, 10:30-12:00Room: Liberty 1.14
Authors (first author is the speaker)
| 1. | Yuhan Jiang
|
| Management Science, Lancaster University | |
| 2. | Xiaohan Zhou
|
| Department of Transportation & Logistics, Dalian University of Technology | |
| 3. | Yu Jiang
|
| Department of Technology, Management and Economics | |
| 4. | Guglielmo Lulli
|
| Department of Management Science, University of Lancaster | |
| 5. | Shaopeng Zhong
|
| Department of Transportation and Logistics, Dalian University of Technology |
Abstract
With the development of Advanced Air Mobility (AAM), it provides a novel and competitive alternative for regional travel. This study focuses on the AAM Service Network Design (AAM-SND) problem, aiming to optimise vertiport locations, service frequency and pricing strategies while capturing the interdependencies between passenger travel choices and network expansion to maximise overall profitability over a multiple-period time horizon. To overcome the computational challenges of integrating a choice model into AAM-SND, we propose an exact solution approach that substantially outperforms traditional linearisation approaches in terms of computational efficiency and solution quality. We employ the proposed AAM-SND model to explore two distinct investment paradigms- namely, a centralised investment and a decentralised investment network- to provide a foundation for broader application. The experiments are constructed based on the existing UK railway network, which contains 30 cities. Results reveal a strong interdependence between vertiport and electric vertical takeoff and landing aircraft investments. Moreover, in terms of network outcomes, AAM's advantage is most evident in city pairs that require significantly longer travel times by ground transportation. Lastly, passengers exhibit high sensitivity to pricing strategies, as variations in utility coefficients lead to different network structures and impact overall profit performance.
Keywords
- Network Design
- Transportation
Status: accepted
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