Deliverables for the Project: Facility Location Choice Simulation Tool (FaLC)
Transport Simulation Module: Speed Regression
dc.contributor.author
Sarlas, Georgios
dc.contributor.author
Axhausen, Kay W.
dc.date.accessioned
2018-05-22T09:19:55Z
dc.date.available
2017-06-11T11:17:10Z
dc.date.available
2018-05-08T07:27:56Z
dc.date.available
2018-05-21T16:29:58Z
dc.date.available
2018-05-22T09:19:55Z
dc.date.issued
2014-01
dc.identifier.uri
http://hdl.handle.net/20.500.11850/87030
dc.identifier.doi
10.3929/ethz-b-000087030
dc.description.abstract
The objective of the current module is to provide a direct and simplified way of estimating velocities for each link of the network of interest. In order to accomplish this, regression modeling is the chosen approach. The main advantage of that choice, in comparison to more advanced and complex demand models (eg four-step travel demand modelling approach, agent-based approaches), is that it can provide a structural equation of the speeds in association with the characteristics that affect the demand for travel but in a significantly less cumbersome way than the aforementioned approaches. The attributes that are used in the regression correspond to only aggregated values where no personal data information can be traced back. More specifically, socio-demographic attributes along with attributes that represent the characteristics of the network are taken into account for that purpose. The objective of the current work is to provide a coherent transport simulation module (regression model) that can be employed within an overall framework of a land-use and transport interaction tool in order to assist a facility location choice analysis.
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
Deliverables for the Project: Facility Location Choice Simulation Tool (FaLC)
en_US
dc.type
Report
dc.rights.license
In Copyright - Non-Commercial Use Permitted
ethz.title.subtitle
Transport Simulation Module: Speed Regression
en_US
ethz.size
28 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. (emeritus) / Axhausen, Kay W. (emeritus)
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 u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
*
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. (emeritus) / Axhausen, Kay W. (emeritus)
en_US
ethz.date.deposited
2017-06-11T11:18:15Z
ethz.source
ECIT
ethz.identifier.importid
imp5936521fb769514409
ethz.ecitpid
pub:136960
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-05-08T07:28:13Z
ethz.rosetta.lastUpdated
2024-02-02T04:50:51Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
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