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Massachusetts Institute of Technology

System Level Optimization of Urban Air Mobility

Abstract

dc:description.abstract

The rise of interest in urban mobility, along with trends in vehicle electrification and autonomy have led to the development of electric vertical and takeoff landing aircraft to offer Urban Air Mobility (UAM) services. We have quantified the market demand of UAM for 5 U.S. cities considering demand from substitution of ground based transport through UAM services for commutes and airport access. By quantifying the number of travelers in each city who would be willing to pay for the UAM service, we find that the unconstrained market potential demand for a city reaches up to 585,000 daily round trips, but varies for different cities and price points. We considered the market impacts of airspace, weather, and infrastructure constraints. We further couple this market model and a vehicle model with an operations model to optimize for daily profit via a Systems of Systems decomposition. In a case study of the Bay Area, the tilt rotor or autogyro maximize the system top level objective of daily profit, reaching over $20 000 a day with 6-10 vertiports.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Wijaya, Grace
Advisor dc:contributor.advisor
  • Barrett, Steven R. H.

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright MIT

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/139561
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/139561

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Wijaya, Grace. System Level Optimization of Urban Air Mobility. Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/139561