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TZID:Asia/Jerusalem
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UID:10@cee.technion.ac.il
DTSTART;TZID=Asia/Jerusalem:20210505T123000
DTEND;TZID=Asia/Jerusalem:20210505T133000
DTSTAMP:20210412T062020Z
URL:https://cee.technion.ac.il/en/seminars/a-robust-approach-to-model-shar
 ed-automated-vehicles-users-acceptance-using-stated-preference-and-serious
 -games/
SUMMARY:A robust approach to model shared automated vehicles users’ accep
 tance using stated preference and serious games [No Categories]
DESCRIPTION:Location: Civil and Environmental Engineering Speaker:  Shelly 
 Ben Zvi Etzioni\n   \n The talk will be given in \n Abstract\n\nThis study
 proposes a novel methodological framework to model shared automated vehicl
 esacceptance and user preferences using multi-methodology that involves st
 atedpreferencesurvey with an emergingmethodology\, used for the first time
  in this context\, serious games. Advancedeconometric modeling methods inc
 luding hybrid choice models are applied toimprove our understanding of how
  automated vehicles may be adopted in differentcountries and how shared au
 tomated vehicles may be accepted among different populationsegments in thr
 ee studies. We model the mode choice between three novelemerging transport
 ation services and identify latent market segments notstudied yet in the c
 ontext of shared automated vehicles\, including ridesharing\,car sharing a
 nd automated transit\, using a hybrid choice model. Discretedistribution i
 s used to capture taste heterogeneity of distinct latent classes.Latent va
 riables\, socio-demographics and travel habits inform latent classassignme
 nt estimated simultaneously with a discrete choice kernel. The effectsof s
 eating designation in shared rides\, not modeled previously in this contex
 t\,is quantified and discussed. Furthermore\, this study presents a state 
 of theart methodology that utilized the data obtained from a serious game 
 to estimatea game based model of the choice between different shared autom
 ated vehicleservices. The unique nature of the game based data allows to m
 odel how userexperience and social interactions can shape decisions over t
 ime. \n Link to Zoom invitation:https://technion.zoom.us/j/99818354099
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