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dc.contributor.author
Sarlas, Georgios
dc.contributor.author
Axhausen, Kay W.
dc.date.accessioned
2018-01-17T09:12:40Z
dc.date.available
2017-06-11T07:35:39Z
dc.date.available
2018-01-16T11:07:07Z
dc.date.available
2018-01-17T09:12:40Z
dc.date.issued
2014-05
dc.identifier.uri
http://hdl.handle.net/20.500.11850/83209
dc.identifier.doi
10.3929/ethz-b-000083209
dc.description.abstract
The aim of this paper is to employ spatial regression modelling as a form of direct demand modelling where the speed of each link is the dependent variable of interest. The variables that their inclusion in the regression model is investigated, correspond to only aggregated values where no personal data information can be traced back. More specifically, socio- demographic variables along with variables that represent the network characteristics are taken into account for that purpose. A particular focus is given on the identification and the construction of the spatial weighting matrices. Three different spatial autoregressive models are estimated and compared to the ordinary linear regression to highlight their capability of explaining transport related phenomena.
en_US
dc.language.iso
en
en_US
dc.publisher
Swiss Transport Research Conference (STRC)
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Spatial regression
en_US
dc.subject
Demand modelling
en_US
dc.subject
Speed regression
en_US
dc.title
Towards a direct demand modeling approach
en_US
dc.type
Conference Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
ethz.size
15 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.event
14th Swiss Transport Research Conference (STRC 2014)
en_US
ethz.event.location
Ascona, Switzerland
en_US
ethz.event.date
May 14-16, 2014
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.
ethz.identifier.url
http://www.strc.ch/2014.php
ethz.date.deposited
2017-06-11T07:37:27Z
ethz.source
ECIT
ethz.identifier.importid
imp593651d3caafe14113
ethz.ecitpid
pub:131253
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-12T18:34:29Z
ethz.rosetta.lastUpdated
2018-11-06T06:53:03Z
ethz.rosetta.versionExported
true
ethz.COinS
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