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dc.contributor.author
Belgiawan, Prawira F.
dc.contributor.author
Schmid, Basil
dc.contributor.author
Dubernet, Ilka
dc.contributor.author
Axhausen, Kay W.
dc.date.accessioned
2018-05-11T11:24:53Z
dc.date.available
2017-06-12T21:00:34Z
dc.date.available
2017-07-10T08:55:05Z
dc.date.available
2017-12-12T15:07:36Z
dc.date.available
2018-05-09T15:50:21Z
dc.date.available
2018-05-11T07:38:04Z
dc.date.available
2018-05-11T11:24:53Z
dc.date.issued
2017-05
dc.identifier.uri
http://hdl.handle.net/20.500.11850/130764
dc.identifier.doi
10.3929/ethz-b-000130764
dc.description.abstract
When facing several 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 μRRM, and the P-RRM. There is also another alternative 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
STRC
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Context-dependent models
en_US
dc.subject
Random regret minimization
en_US
dc.subject
RRM variants
en_US
dc.subject
Relative advantage maximization
en_US
dc.title
Comparison between RUM, RRM variants, and RAM
en_US
dc.type
Conference Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
ethz.title.subtitle
Swiss SP and RP data sets
en_US
ethz.size
47 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.event
17th Swiss Transport Research Conference (STRC 2017)
en_US
ethz.event.location
Ascona, Switzerland
en_US
ethz.event.date
May 17-19, 2017
en_US
ethz.publication.place
Zurich
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
2017-06-12T21:01:11Z
ethz.source
ECIT
ethz.identifier.importid
imp5936556e7bc5941483
ethz.ecitpid
pub:193795
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-10T08:55:18Z
ethz.rosetta.lastUpdated
2021-02-14T23:50:23Z
ethz.rosetta.versionExported
true
ethz.COinS
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