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dc.contributor.author
Janzen, Maxim
dc.contributor.author
Axhausen, Kay W.
dc.date.accessioned
2018-03-12T15:18:12Z
dc.date.available
2018-03-12T15:02:41Z
dc.date.available
2018-03-12T15:18:12Z
dc.date.issued
2017
dc.identifier.uri
http://hdl.handle.net/20.500.11850/249218
dc.identifier.doi
10.3929/ethz-b-000249218
dc.description.abstract
Analysis of long-distance travel demand has become more relevant in recent times. The reason is the growing share of traffic induced by journeys related to remote activities, which are not part of daily life. In today’s mobile world, these journeys are responsible for almost 50 percent of the overall traffic. Consequently, there is a need of reliable long-distance travel forecast tools. A potential tool is an agent-based simulation. Due to the complex task of destination choice modelling, there are just few agent-based simulations available. This paper presents a continuous target-based simulation that simulates long-distance travel behavior for a long period of time. It is shown how destination choice is modelled in this agent-based simulation. We focus on the holiday destination choice, because it dominates the long-distances trips for the average traveler. The presented approach uses a heuristic to reduce the solution space. Afterwards, the optimal activity duration and activity location is computed simultaneously. This technique ensures a fast computation.
en_US
dc.format
application/pdf
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
Holiday destination choice in a continuous activity-based microsimulation
en_US
dc.type
Working Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
ethz.journal.title
Arbeitsberichte Verkehrs- und Raumplanung
ethz.journal.volume
1182
en_US
ethz.size
17 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.isOriginalFormOf
10.3929/ethz-b-000118791
ethz.date.deposited
2018-03-12T15:02:42Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-03-12T15:18:15Z
ethz.rosetta.lastUpdated
2020-02-15T11:53:17Z
ethz.rosetta.versionExported
true
ethz.COinS
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