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SUMMARY:Travel Behavior Models and Applications to Time-of-Travel\, Value 
 of Time\, and Mode Switching Decisions
DTSTART:20120426T121500
DTEND:20120426T131500
DTSTAMP:20260510T131505Z
UID:a732120a5ba40f4acaabab942d70d8b02a54328afdc576e960fc6b8c
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Maya Abou-Zeid\nTravel behavior models predict individua
 l decisions related to various travel dimensions\, such as the choice of a
 uto ownership\, activity patterns\, destinations visited\, modes of transp
 ortation\, routes\, and departure times. They are used as part of decision
  support systems by transportation planners and policy makers to predict t
 ravelers' responses and traffic impacts resulting from infrastructure (e.g
 . road widening)\, operational (e.g. public transportation service improve
 ment)\, or policy interventions (e.g. congestion pricing). The accuracy of
  these decision support tools depends on the richness embedded in the trav
 el behavior models.\n\nThis talk will give an overview of some recent deve
 lopments in the area of travel behavior modeling with applications to mode
 ling time-of-travel choice accounting for the cyclicality of time-of-trave
 l\, modeling heterogeneity across individuals in the value of travel time 
 savings arising from different attitudes towards travel modes\, and modeli
 ng mode switching from car to public transportation in relation to travel 
 happiness using recent experiments conducted with habitual car drivers in 
 Switzerland and in Boston. The applications show how insights from behavio
 ral theories can be used to enrich the travel demand models and make them 
 more policy-sensitive.\n\nBio: Maya Abou-Zeid is an Assistant Professor of
  Civil and Environmental Engineering at the American University of Beirut 
 and a research affiliate of the Intelligent Transportation Systems Program
  at the Massachusetts Institute of Technology. Her research interests incl
 ude travel behavior modeling\, urban transportation planning\, market rese
 arch\, and road safety.
LOCATION:GC C330 http://plan.epfl.ch/?room=GC%20C3%2030
STATUS:CONFIRMED
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