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dc.contributor.author
Bucher, Dominik
dc.contributor.supervisor
Raubal, Martin
dc.contributor.supervisor
Miller, Harvey
dc.contributor.supervisor
Janowicz, Krzysztof
dc.date.accessioned
2021-04-19T06:49:45Z
dc.date.available
2020-12-20T22:30:48Z
dc.date.available
2021-04-17T11:45:53Z
dc.date.available
2021-04-19T06:49:45Z
dc.date.issued
2020
dc.identifier.uri
http://hdl.handle.net/20.500.11850/457564
dc.identifier.doi
10.3929/ethz-b-000457564
dc.description.abstract
Mobility and transport are responsible for approx. 30% of the total Greenhouse Gas (GHG) emissions caused by humanity, primarily due to the fact that 95% of the required energy is provided by non-renewable fossil fuels. Reducing this dependence on crude oil and optimizing mobility will not only increase its sustainability, but will also positively impact the climate, our health and environment, and, if implemented correctly, ease the use of mobility and ensure equal access for everyone. This dissertation focuses on soft incentives enabled by ongoing advances in Information and Communication Technologies (ICT). Next to technological advances and policy changes, such incentives have the potential to foster changes in mobility consumption and behavior. This is especially important in the short term, as other measures often take decades to implement. The persuasive applications treated within this work are based on automatically and passively recorded mobility data that not only give insights about the use of a transport system, but also allow giving feedback and interacting with individual people directly. To extract information useful within a persuasive application, we first propose several methods to process mobility data to uncover individual mobility descriptors, preferences and progress along various stages of behavior change. Based on this information, we present route computation algorithms that can supply people with feasible and meaningful proposals of alternative behaviors (i.e., route options). The presented formalism and the related methods allow integrating a wide range of transport modes into high-level route planners. The proactive computation of transport options (including less commonly used transport modes such as carpooling) reduces the burden of finding means of travel and thus facilitates trying out and adopting more environmentally sustainable mobility behaviors. Finally, we propose a set of (gamified) elements to be used within persuasive (smartphone) applications to effectively support people in making sustainable choices. The resulting framework is evaluated using the large-scale study GoEco!, and we find significant changes in mobility along systematic routes and for groups of people that rely on the car as their predominant means of transport.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Geographic Information Science (GIS)
en_US
dc.subject
Geographic Information System
en_US
dc.subject
Mobility behaviour
en_US
dc.subject
mobility data analysis
en_US
dc.subject
Mobility as a Service (MaaS)
en_US
dc.subject
Routing Algorithms
en_US
dc.subject
Gamification
en_US
dc.subject
Persuasive Technology
en_US
dc.subject
Transport planning
en_US
dc.title
Spatio-Temporal Information and Communication Technologies Supporting Sustainable Personal Mobility
en_US
dc.type
Doctoral Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2021-04-19
ethz.size
365 p.
en_US
ethz.code.ddc
DDC - DDC::0 - Computer science, information & general works::004 - Data processing, computer science
en_US
ethz.identifier.diss
27129
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.::02648 - Inst. f. Kartografie und Geoinformation / Institute of Cartography&Geoinformation::03901 - Raubal, Martin / Raubal, Martin
en_US
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.::02648 - Inst. f. Kartografie und Geoinformation / Institute of Cartography&Geoinformation::03901 - Raubal, Martin / Raubal, Martin
en_US
ethz.date.deposited
2020-12-20T22:30:56Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2021-04-19T06:49:56Z
ethz.rosetta.lastUpdated
2022-03-29T06:37:49Z
ethz.rosetta.versionExported
true
ethz.COinS
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