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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 Very Light Jets (VLJ) Eclipse 500 ODAS Model Peeta. Paz. DeLaurentis.


  1. 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

  2. Very Light Jets (VLJ) Eclipse 500

  3. ODAS Model Peeta. Paz. DeLaurentis. “Stated preference analysis of a new very light jet based on-demand air service.” 1 Jan 2008.

  4. Dayjet Corp Ceased operations in Sept. 2008

  5. 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?

  6. 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

  7. Survey

  8. 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.

  9. 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.

  10. 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

  11. 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

  12. The Model

  13. Demand Distribution Demand Saturation

  14. 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.

  15. Thank you • Professor Daniel DeLaurentis • Professor Srinivas Peeta • Datu Agustinata • Aditya Joshi

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