Show simple item record

dc.contributor.advisorBen-Akiva, Moshe E.
dc.contributor.advisorShamshiripour, Ali
dc.contributor.authorChen, Kexin
dc.date.accessioned2022-08-29T15:55:42Z
dc.date.available2022-08-29T15:55:42Z
dc.date.issued2022-05
dc.date.submitted2022-06-15T20:49:10.141Z
dc.identifier.urihttps://hdl.handle.net/1721.1/144557
dc.description.abstractThis thesis analyzes the potential demand of Urban Air Mobility (UAM) by performing agent-based simulation. The comprehensive UAM model proposed by this thesis combines demand, supply, and their interactions at fine spatial and temporal levels. It has been implemented in the state-of-the-art mobility simulation platform, SimMobility, and includes the following considerations: (i) demand-centric vertiport placements and realistic vertiport capacity generation; (ii) explicit service operations that include rebalancing, charging and transition activities at vertiports; (iii) a behaviorally sound decision-making process capturing the switching behaviors. Simulations of at-launch, near-term and long-term scenarios, varying in capacity, accessibility, and pricing constraints, are performed for two real U.S. cities, along with the uncertainties. The results show that UAM presents a niche market, with only a penetration rate of 1.45% to 1.81% even in the long-term scenario for the two cities studied. Furthermore, the potential UAM users are primarily high-income and car-oriented, indicating equity issues. Work and drive-alone trips have the highest penetration rate, and short-range trips constitute the majority of the UAM potential demand. Lastly, capacity, accessibility, and pricing show significant impacts on demand, which are city-specific effects. This thesis contributes to the literature by analyzing the impacts of UAM on mobility pattern, specifically focusing on the potential market size and demand characteristics under various supply configurations, allowing policymakers and the industry to make informed decisions regarding UAM market diffusion.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright MIT
dc.rights.urihttp://rightsstatements.org/page/InC-EDU/1.0/
dc.titleAnalysis of Potential Demand of On-Demand Urban Air Mobility Via Agent-Based Simulation
dc.typeThesis
dc.description.degreeS.M.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineering
mit.thesis.degreeMaster
thesis.degree.nameMaster of Science in Civil and Environmental Engineering


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record