CAPACIDADE DA INFRAESTRUTURA TERRESTRE PARA MOBILIDADE AÉREA URBANA (UAM VERTIPORT): A PAPER REVIEW

Rodrigo Pintus Gonçalves da Costa - INDEPENDENT RESEARCHER - INSTITUTO TECNOLÓGICO DE AERONÁUTICA (ITA) -
Marcelo Xavier Guterres - Professor -
Mayara Condé Rocha Murça - Professor INSTITUTO TECNOLÓGICO DE AERONÁUTICA (ITA) -
Anderson Ribeiro Correia - INSTITUTO TECNOLÓGICO DE AERONÁUTICA (ITA) - President -

Abstract

In the last 50 years, traffic congestion has increased significantly in metropolitan areas (Mondschein et al., 2017) due to population growth and its concentration in large cities (Fadhil, 2018). With the emergence of the electric vertical take-off and landing vehicles - eVTOL and its objective of solving the urban mobility problem sustainably and affordably, the company Uber issued a whitepaper called Uber Elevate in 2016 and organized international events, promoting the development of the new industry called Urban Air Mobility - UAM, further claiming that the most significant UAM operational challenge implementation is the Ground Infrastructure deficiency. Currently, only a few studies focus on Ground Infrastructure requirements for eVTOL (Alexander et al., 2017; Seeley, 2017a; Vascik et al., 2017; Antcliff et al., 2016). For this reason, this work aims to present a summary and analysis of the previously published literature regarding the UAM, specifically about the Ground Infrastructure capacity topic, in order to subsidize future works by the air transport scientific community.

Keywords: UAM - VERTIPORT - eVTOL

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Citing

@inproceedings{SIT134,
    author = {Rodrigo Pintus Gonçalves da Costa; Marcelo Xavier Guterres; Mayara Condé Rocha Murça; Anderson Ribeiro Correia},
    title = {CAPACIDADE DA INFRAESTRUTURA TERRESTRE PARA MOBILIDADE AÉREA URBANA (UAM VERTIPORT): A PAPER REVIEW},
    booktitle = {Proceedings of the 2022 Air Transportation Symposium},
    series    = {SITRAER 2022},
    year = {2022},
    pages = {438-447},
    publisher = {SBTA - Brazilian Air Transportation Research Society},
   address = {São José dos Campos, Brazil,}

}

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