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The Location Optimization Problem ofUrban Vertiports Based on MultimodalTransport
Jing Jiang,Yuzhen Guo,Junjie Yao,Xuhui Wang
(School of mathematics, Nanjing University of Aeronautics Astronautics, Nanjing 211106, China;China Academy of Civil Aviation Science and Technology, Beijing 100028, China)
DOI:
Abstract:
The facility location problem of urban vertiports is one of the crucial issues in urban low-altitude traffic optimization decisions. In order to effectively alleviate ground traffic congestion and improve passenger travel quality, this study focuses on the urban vertiport location optimization problem considering multi-modal transport. An integer programming model with capacity constraints and vertiport classification constraints is established. The model aims to minimize both vertiport construction cost and passenger travel cost. The RLT method is applied to linearize the non-convex quadratic terms in the objective function. For the reformulated optimal model, a depth-first branch-and-bound algorithm is developed. A branching strategy using priority functions is defined to enhance solving efficiency. Simulation experiments are conducted in the main urban area of Nanjing in China to verify the effectiveness of the model and algorithm. Three location schemes are proposed from the perspective of passenger, investor and bilateral equilibrium. Numerical results indicate that the bilateral equilibrium scheme is satisfied with both passenger travel demand and vertiport construction requirement. A comparative analysis of multimodal transport and ground traffic demonstrates that multimodal transport significantly reduces travel time while keeping cost increases within acceptable limits. These findings fully validate the feasibility and effectiveness of the proposed vertiport location scheme. The proposed schemes provide decision-making references for the strategic planning of urban air traffic infrastructure.
Key words:  Urban low-altitude traffic, urban vertiport, hub location problem, multimodal transport, branch-and-bound algorithm.