November 14, 2012
Dr. Nebiyou Tilahun, UPP, presents a seminar entitled "An agent based model of origin destination estimation (ADOBE)" Wednesday, November 14th at 4:00 pm in Rm 1127 SEO
November 7, 2012
Mr. Thomas Murtha, CMAP, will address the CTS-IGERT community at 4:00 p.m. in Room 1127 SEO.
October 24, 2012
Please join us in welcoming Dr. Bo Zou, CME, on Wednesday, October 24th, Room 1127 SEO, 4:00 p.m.
September 25, 2012
Award Received by Joshua Auld, CTS-IGERT alumnus.
April 20, 2012
Congratulations to James Biagioni, CTS Fellow and CS PhD candidate, winner of the Dean's Scholar award.
January 2, 2012
James Biagioni, CTS Fellow, receives "Best Presentation Award" at SenSys2011
July 30, 2010
Dr. Ouri Wolfson, Dr. Phillip Yu, and Leon Stenneth, CS student and CTS Associate, recently had a paper accepted to the 6th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2010).
November 28, 2007
Dr. Yoram Shiftan, "The Use of Activity-Based Modeling to Analyze the Effect of Land-Use Policies on Travel Behavior"
Dr. Yoram Shiftan
Technion, Israel Institute of Technology
When: November 28 from 4 to 5 pm
Where: UTC conference room, CUPPA Hall (412 South Peoria Street, Suite 340)
Presentation Title: The Use of Activity-Based Modeling to Analyze the Effect of Land-Use Policies on Travel Behavior
Land-use policies are often suggested as a means to mitigate transportation problems, and some regions have tried to implement such policies as transit-oriented developments, mixed land use, different concentrations schemes, various forms of urban design, and more broadly Smart Growth.
These policies are motivated by the assumption, also supported by numerous studies that residents of neighborhoods with a higher level of density, mixed land-use, transit access, and pedestrian friendliness drive less than do residents of neighborhoods with lower levels of these characteristics.
However, our understanding of the effects of the various land-use polices on travel behavior is limited. There are also questions of self-selectivity: do land-use policies affect travel behavior or do people with different travel-behavior preferences select different types of neighborhood in which to live.
Advances in the study of travel behavior have led to the development of activity-based models that treat travel as a derivation of the demand for personal activities. Travel choices, therefore, become part of a broader activity-scheduling process based on modeling the demand for activities rather than merely trips. The explicit modeling of activities and the consequent tours and trips enable a more credible analysis of responses to policies and their effect on traffic and air quality. Several studies have already used this approach to analyze various transport policies. The theoretical framework of activity-based models starts with urban and land-use development as inputs; however, there is a need to translate this framework to analyze specific land-use policies.
This paper discusses the advantages and potential of activity-based models for analyzing the effect of land-use policies on travel behavior. It suggests improvements that will extend the general framework to achieve a better understanding of travelers' responses to various land-use policies.
The improved activity-based approach is illustrated through a case study based on the Portland activity-based model combined with a stated-preference residential choice model. A package of land-use policies--including improved land use, school quality, safety, and transit service in the city center--is introduced, and its effect on household redistribution and regional travel tested.