A Methodology for Assessing Business Models of Future Air Transportation in the Atlanta Regional Transportation System

dc.contributor.author Lim, Choon Giap en_US
dc.contributor.author Lewe, Jung-Ho en_US
dc.contributor.author DeLaurentis, Daniel A. en_US
dc.contributor.author Mavris, Dimitri N. en_US
dc.date.accessioned 2005-05-26T14:03:13Z
dc.date.available 2005-05-26T14:03:13Z
dc.date.issued 2004-09 en_US
dc.description Presented at the 4th AIAA ATIO Conference, Chicago, IL, September 20-23, 2004. en_US
dc.description.abstract A methodology employing physics-based and economics-based tools in conjunction with probabilistic treatment is developed to study Personal Air Vehicle business model. In the context of the paper, a business model is a mathematical representation of a service provider business operation. Vehicle concepts and hypothesized metrics such as mobility freedom and 'value of time'are embedded in the methodology. Market behavior of the complex transportation environment is captured as part of the equation through Agent-based Modeling and Monte Carlo Simulation techniques. This simulation platform for the transportation environment facilitates the case study of the Atlanta Regional Transportation System. The establishment of this model lays the foundation for creating a robust and adaptive design methodology that allows experts in fields other than aerospace engineering to contribute their expertise towards the realization of this very diverse and dynamic future air transportation system. en_US
dc.format.extent 1103618 bytes
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/6360
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.relation.ispartofseries ASDL;AIAA-2004-6341 en_US
dc.subject Air transportation en_US
dc.subject Market forecasts en_US
dc.subject Atlanta (Ga.) en_US
dc.subject Physics based analysis tools en_US
dc.subject Probabilistic analysis en_US
dc.subject Personal air vehicles en_US
dc.subject Simulations en_US
dc.subject Transportation system infrastructure en_US
dc.subject Robust design simulations en_US
dc.subject Adaptive systems en_US
dc.title A Methodology for Assessing Business Models of Future Air Transportation in the Atlanta Regional Transportation System en_US
dc.type Text
dc.type.genre Paper
dspace.entity.type Publication
local.contributor.author Mavris, Dimitri N.
local.contributor.corporatename Daniel Guggenheim School of Aerospace Engineering
local.contributor.corporatename Aerospace Systems Design Laboratory (ASDL)
local.contributor.corporatename College of Engineering
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