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dc.contributor.author
Belgiawan, Prawira F.
dc.contributor.author
Dubernet, Ilka
dc.contributor.author
Schmid, Basil
dc.contributor.author
Axhausen, Kay W.
dc.date.accessioned
2018-04-11T11:00:54Z
dc.date.available
2018-04-11T10:55:04Z
dc.date.available
2018-04-11T11:00:54Z
dc.date.issued
2017
dc.identifier.uri
http://hdl.handle.net/20.500.11850/257056
dc.identifier.doi
10.3929/ethz-b-000227954
dc.description.abstract
When facing alternatives, people are often assumed to choose the alternative which maximizes their utilities. This concept is widely known as random utility maximization (RUM). In transportation research, one of the most famous modeling techniques based on this idea, e.g. for modeling mode choice, is the multinomial logit (MNL) approach. Recently there is a growing interest in an alternative modeling approach, random regret minimization (RRM). In RRM, an individual, when choosing between alternatives, is assumed to minimize anticipated regret as opposed to maximize his/her utility. There are three variants of RRM, the classical CRRM, the -RRM, and the P-RRM. There is also a further approach called relative advantage maximization (RAM) turning the idea around and focusing on the gains. We compare MNL with the four mentioned alternatives. The data used are stated choice data sets collected by the IVT, ETH Zurich which comprise of mode choice, location choice, parking choice, carpooling, car-sharing, etc experiments. We compare the performance of those five models by their model fit (Final LL, hit rate, and prediction). We also present a comparison of their VTTS, travel time and cost elasticities.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
EPFL
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.title
Context-dependent models comparisons
en_US
dc.type
Other Conference Item
dc.rights.license
In Copyright - Non-Commercial Use Permitted
ethz.title.subtitle
Swiss and German SP, RP data sets
en_US
ethz.size
30 slides
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.event
12th Workshop on Discrete Choice Models 2017
en_US
ethz.event.location
Lausanne, Switzerland
en_US
ethz.event.date
June 22-24, 2017
en_US
ethz.notes
Conference lecture
en_US
ethz.publication.place
Lausanne
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02610 - Inst. f. Verkehrspl. u. Transportsyst. / Inst. Transport Planning and Systems::03521 - Axhausen, Kay W. / Axhausen, Kay W.
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02100 - Dep. Architektur / Dep. of Architecture::02655 - Netzwerk Stadt und Landschaft D-ARCH::02226 - NSL - Netzwerk Stadt und Landschaft / NSL - Network City and Landscape
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02100 - Dep. Architektur / Dep. of Architecture::02655 - Netzwerk Stadt und Landschaft D-ARCH
*
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02610 - Inst. f. Verkehrspl. u. Transportsyst. / Inst. Transport Planning and Systems::03521 - Axhausen, Kay W. / Axhausen, Kay W.
en_US
ethz.date.deposited
2018-01-12T10:48:24Z
ethz.source
FORM
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-04-11T10:55:07Z
ethz.rosetta.lastUpdated
2018-11-06T17:45:06Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/231712
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/227954
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Context-dependent%20models%20comparisons&rft.date=2017&rft.au=Belgiawan,%20Prawira%20F.&Dubernet,%20Ilka&Schmid,%20Basil&Axhausen,%20Kay%20W.&rft.genre=unknown&rft.btitle=Context-dependent%20models%20comparisons
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