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

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1853/6360

Title: A Methodology for Assessing Business Models of Future Air Transportation in the Atlanta Regional Transportation System
Author: Lim, Choon Giap ; Lewe, Jung-Ho ; DeLaurentis, Daniel A. ; Mavris, Dimitri N.
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.
Description: Presented at the 4th AIAA ATIO Conference, Chicago, IL, September 20-23, 2004.
Type: Paper
URI: http://hdl.handle.net/1853/6360
Date: 2004-09
Relation: ASDL;AIAA-2004-6341
Publisher: Georgia Institute of Technology
Subject: Air transportation
Market forecasts
Atlanta (Ga.)
Physics based analysis tools
Probabilistic analysis
Personal air vehicles
Simulations
Transportation system infrastructure
Robust design simulations
Adaptive systems

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