With the increasing concentration of urban populations, traditional ground transportation is facing significant pressure. Against this backdrop, urban air mobility (UAM) based on eVTOL (electric vertical take-off and landing) aircraft has emerged as a research focus due to its advantages of electric operation, green sustainability, and vertical take-off and landing capabilities. However, the research and application of UAM are still in their infancy, and there is a need to further organize the research findings from scholars and industry players. This study first clarifies the concept of UAM, traces its development process and current status, and then delves into its infrastructure, specifically the facility network and air route network. It analyzes the research status and limitations of vertiports and low-altitude air routes, and proposes directions for future optimization. This research aims to provide a theoretical framework and reference for further in-depth studies, thereby facilitating the commercialization and large-scale application of UAM.

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Urban Air Mobility and Infrastructure for eVTOL Aircraft: A Review

  • Shiwen Huang,
  • Mingwei Hu,
  • Wenkang Liao

摘要

With the increasing concentration of urban populations, traditional ground transportation is facing significant pressure. Against this backdrop, urban air mobility (UAM) based on eVTOL (electric vertical take-off and landing) aircraft has emerged as a research focus due to its advantages of electric operation, green sustainability, and vertical take-off and landing capabilities. However, the research and application of UAM are still in their infancy, and there is a need to further organize the research findings from scholars and industry players. This study first clarifies the concept of UAM, traces its development process and current status, and then delves into its infrastructure, specifically the facility network and air route network. It analyzes the research status and limitations of vertiports and low-altitude air routes, and proposes directions for future optimization. This research aims to provide a theoretical framework and reference for further in-depth studies, thereby facilitating the commercialization and large-scale application of UAM.