seeking better solutions in multi-modal transportation
TRANSCRIPT
Seeking Better Solutions In Multi-Modal Transportation:
A Study of On-Demand Air Service (ODAS)
Dan DeLaurentis, Aditya Joshi, and Kyle Bemis
Presented by Kyle Bemis
ODAS ModelPeeta. Paz. DeLaurentis. “Stated preference analysis of a new very light jet based on-demand air
service.” 1 Jan 2008.
Goals
• Interaction of ODAS with rest of transportation network
• Could relieve congestion at commercial airports?
• Scenarios most favorable to ODAS? (pricing, demand, etc.)
• Government aid/funding for an ODAS company?
Method
• Agent-Based Model
• Collection of decision-making “agents”
• Set preferences based on parameters (socioeconomic, etc.)
• On a model transportation network
• Need behavior models for travelers
Individuals Willing to use ODAS (Business)
Peeta. Paz. DeLaurentis. “Stated preference analysis of a new very light jet based on-demand air service.” 1 Jan 2008.
Individuals Willing to use ODAS (Personal)
Peeta. Paz. DeLaurentis. “Stated preference analysis of a new very light jet based on-demand air service.” 1 Jan 2008.
Analysis
• Survey responses analyzed in LIMDEP
• Discrete-choice (logistic) statistical models built
• Results used to build behavioral models for “agents”
• 12 Single-combination models
• 2 Trip-purpose switching models
Summarized Results
• Higher educated individuals more willing to switch
• Higher income individuals more willing to switch
• Older individuals less willing to switch
• More likely to switch if near job or neighborhood
• More likely to use at small airports than major airports
Ongoing Study
• Model framework still under development
• Researching parameters for nodes on network
• Introduce high-speed rail in future models
• Hope to show ODAS can relieve congestion, delays, etc.
• May spur further interest in development and funding.