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dc.contributor.author
Belgiawan, Prawira F.
dc.contributor.author
Ilahi, Anugrah
dc.contributor.author
Axhausen, Kay W.
dc.date.accessioned
2018-05-11T10:06:29Z
dc.date.available
2017-08-08T14:33:55Z
dc.date.available
2017-08-09T06:59:29Z
dc.date.available
2018-05-11T10:06:29Z
dc.date.issued
2017
dc.identifier.uri
http://hdl.handle.net/20.500.11850/175255
dc.identifier.doi
10.3929/ethz-b-000175255
dc.description.abstract
To reduce traffic congestion, the Government of Jakarta is planning to implement electronic road pricing (ERP) for commuters who pass through arterial roads in Jakarta’s CBD area. This paper studies the implementation of ERP, which in this study is called contribution cost, by utilizing the recently introduced alternative choice model approach called random regret minimization (RRM). In RRM when deciding, an individual is assumed to minimize anticipated regret as opposed to maximizing the utility. A stated preference (SP) survey has been conducted with 507 respondents. Four alternative modes (public transport, park and ride, car, and motorcycle) were presented with several attributes such as travel time, travel cost, waiting time, transfer, parking cost, and contribution cost. The SP survey was divided into two parts, Model 1 with all attributes including contribution cost, and Model 2 with only travel time and travel cost (without the contribution costs). In total 6003 observations for 12 scenarios in Model 1, and 4011 observations for 8 scenarios in Model 2 were obtained. Comparing model fit and prediction accuracy, Model 2 outperforms Model 1. Regarding the value of travel time savings (VTTS), it appears that the incorporation of contribution cost (and other attributes) results in substantially higher VTTS for Model 1 compared to Model 2. Finally for demand elasticities are larger than one for public transport, park and ride and car travel time. The results also show that car contribution cost elasticity is substantially higher than motorcycle contribution cost elasticity.
en_US
dc.language.iso
en
en_US
dc.publisher
IVT, ETH Zurich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.title
Influence of pricing on mode choice decision in Jakarta
en_US
dc.type
Working Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2017-08-09
ethz.title.subtitle
A random regret minimization model
en_US
ethz.journal.title
Arbeitsberichte Verkehrs- und Raumplanung
ethz.journal.volume
1268
en_US
ethz.size
15 p.
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.relation.isPreviousVersionOf
handle/20.500.11850/319399
ethz.date.deposited
2017-08-08T14:34:01Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-08-09T07:00:15Z
ethz.rosetta.lastUpdated
2018-11-06T22:40:52Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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