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dc.contributor.author
Montini, Lara
dc.date.accessioned
2017-06-12T11:10:06Z
dc.date.available
2017-06-12T11:10:06Z
dc.date.issued
2016-08
dc.identifier.uri
http://hdl.handle.net/20.500.11850/119630
dc.description.abstract
Ecological issues in traffic become more and more pressing as personal transportation is one of the greatest contributors of CO2 emissions. Means to help people reducing their ecological impact are urgently needed. To answer this need, the project implemented a smartphone application for personalized multi-modal navigation that helps and persuades them to travel and drive in an ecologically friendlier way. The following key features were successfully implemented and tested in an 8-week field trial in Vienna and Dublin: • Peacox collects GPS and accelerometer data in the background and automatically generated trip diaries. • Dynamic user models are created allowing personalizing recommendations, e. g. with persuasive messages, based on prior trip choices and individual preferences. • Peacox uses advanced door-to-door emissions models that provide accurate feedback on the ecological/carbon footprint and exposure levels during trip planning. • Emission statistics are provided based on trip history. A tree loosing or gaining leaves provides persuasive feedback on one’s own ecological improvements. IVT was mainly involved in developing the processing methods for raw GPS and accelerometer data to create complete trip diaries including transport mode and trip purposes. Further, differences in data collected with smartphones and dedicated devices were analyzed, in order to gain insight on how accurate automatically generated trip diaries are.
dc.language.iso
en
dc.publisher
IVT, ETH Zürich
dc.subject
Smartphone
dc.subject
GPS
dc.subject
Accelerometer
dc.title
PEACOX - Persuasive Advisor for CO2-reducing crossmodel trip planning
dc.type
Working Paper
ethz.journal.title
Travel Survey Metadata Series
ethz.journal.volume
61
ethz.size
69 p.
ethz.notes
.
ethz.publication.place
Zürich
ethz.publication.status
published
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.
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
*
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.date.deposited
2017-06-12T11:15:32Z
ethz.source
ECIT
ethz.identifier.importid
imp593654a50ae0f41982
ethz.ecitpid
pub:181654
ethz.eth
yes
ethz.availability
Metadata only
ethz.rosetta.installDate
2017-07-12T21:01:44Z
ethz.rosetta.lastUpdated
2018-11-03T00:00:54Z
ethz.rosetta.versionExported
true
ethz.COinS
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