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بررسی مبانی و مقایسه منطق طراحی شبکه ایستگاه های تاکسی های هوایی با نگاه اقتصادی
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بررسی مبانی و مقایسه منطق طراحی شبکه ایستگاه های تاکسی های هوایی با نگاه اقتصادی

مقدم، علیرضا Moghaddam, Alireza

Analysis of the Fundamentals and Comparative Design Logic of Urban eVTOL Networks from an Economic Perspective

Moghaddam, Alireza | 2025

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 58755 (45)
  4. University: Sharif University of Technology
  5. Department: Aerospace Engineering
  6. Advisor(s): Malaek, Mohammad Bagher
  7. Abstract:
  8. The aim of this thesis is to develop a comprehensive, economically informed framework for designing networks of air-taxi stations—one that, unlike isolated approaches, simultaneously incorporates aircraft performance, network dynamic behavior, demand patterns, and economic considerations into the design process. The core problem is to determine the near-optimal number, locations, and types of stations, as well as the required fleet size, given the air-taxi specifications, the study region, and the demand pattern. To address this problem, Markov chains, simulated annealing, Monte Carlo simulations, and sensitivity analysis are employed. Additionally, to account for the behavior of the ground-taxi competitor, a large-scale dataset containing 240 million records of ground-taxi fares, distances, and travel times is utilized. Applying the model to the SPRICHO air-taxi system in New York indicates that deploying four type-1 stations at optimal locations and operating six air taxis yields the best near-optimal solution. In contrast, type-2 and type-3 stations are economically viable only if part of their high costs is offset through commercial activities. The results further show that a point-to-point configuration outperforms the hub-and-spoke layout, increasing the fleet size beyond a certain threshold leads to network losses, and the air-taxi preparation time significantly affects network profitability
  9. Keywords:
  10. Air-Taxi Network ; Simulated Annealing Method ; Vertical Take-Off and Landing (VtOL) ; Air Traffic Management ; Fication Analysis ; Air-Taxi Network Stations

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