A spatial assessment of eVTOLs for emergency medical transport in the Brazilian Amazon
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This study investigates the applicability of electric vertical take-off and landing aircraft (eVTOLs) for emergency medical
transport in the Brazilian Legal Amazon, a region characterized by vast territorial extension, limited road infrastructure, and
restricted access to critical healthcare. The research estimates the population coverage potential of a selected eVTOL model and
compares it to that of the Airbus H125, a conventional helicopter commonly used in aeromedical operations across Brazil. Using
a Geographic Information System (GIS) spatial analyses were performed based on operational ranges, identifying populated areas
within reach of hospitals equipped with adult Intensive Care Unit beds. Data from the Humanitarian Data Exchange (HDX) and
Brazil’s Ministry of Health supported the analysis. After filtering eVTOL models by technical feasibility and technological maturity,
the Joby S4 was selected due to its extended range and load capacity. The findings indicate that while helicopters can cover a broad
area from a few operational bases, eVTOLs require a larger number of strategically distributed bases to achieve similar population
coverage. Our findings show that network expansion with eVTOLs is economically viable if the total operating costs per eVTOL
base do not exceed roughly 3.6 times those of an equivalent helicopter base. These results support the consideration of eVTOLs
as a complementary solution to improve access to emergency care in remote areas of the Amazon, contributing to the broader
discussion on advanced air mobility (AAM) in complex territorial contexts.
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SOUZA, Gabriela Oliveira de; SILVA, Evandro José da; CAETANO, Mauro. A spatial assessment of eVTOLs for emergency medical transport in the Brazilian Amazon. Journal of Aerospace Technology and Management, São José dos Campos, v. 17, e4025, 2025. DOI: 10.1590/jatm.v17.1402. Disponível em: https://www.scielo.br/j/jatm/a/8H5cfQFzX7KQBK7LKVrzdyn/?format=html&lang=en. Acesso em: 20 jan. 2026.