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dc.contributor.author
Meyer de Freitas, Lucas
dc.contributor.author
Axhausen, Kay W.
dc.date.accessioned
2022-08-08T12:57:21Z
dc.date.available
2022-08-03T12:44:52Z
dc.date.available
2022-08-08T12:57:21Z
dc.date.issued
2022-08
dc.identifier.uri
http://hdl.handle.net/20.500.11850/561700
dc.description.abstract
The present work shows the importance of individual physical capabilities for cycling in Switzerland, as well as introducing a routing-tool that integrates these capabilities in the estimation of cycling potentials. It does so for the first time for a national large-scale sample. A binary logit model of daily cycling was estimated, using data from the Swiss Health Survey. It is found that the frequency of exercise explains most of the variability of the choice to cycle or not. Since previous work in the literature has shown a clear link between exercise frequency and physical strength, one valid, although so far not directly observable hypothesis in micro data, is the simple one, that more physical power leads to faster speeds and more competitiveness of bicycling with cars. There are no direct observations in place to quantify mode-shift potentials that account for such factors. Here, a first attempt is made to impute physical cycling capabilities of Swiss Mobility Microcensus (i.e. national travel diary) respondents so that individual cycling potentials are added. An R-Package was written for the purpose of routing different bicycle and micromobility vehicle types which also accounts for electric assistance motors. Finally, the resulting mode-shares are determined for conventional bikes, pedelecs (e-bikes) and s-pedelecs (fast e- bikes) in Switzerland.
en_US
dc.language.iso
en
en_US
dc.publisher
IVT, ETH Zurich
en_US
dc.subject
Cycling
en_US
dc.subject
Potential
en_US
dc.subject
Individual capabilities
en_US
dc.subject
Human power
en_US
dc.subject
Mode-shift
en_US
dc.title
Evaluating mode-shift potentials to cycling based on individual capabilities
en_US
dc.type
Working Paper
ethz.journal.title
Arbeitsberichte Verkehrs- und Raumplanung
ethz.journal.volume
1763
en_US
ethz.notes
Paper submitted for presentation at the Transportation Research Board 2023 Annual Meeting
en_US
ethz.publication.place
Zurich
en_US
ethz.publication.status
unpublished
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
*
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.date.deposited
2022-08-03T12:44:58Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.identifier.internal
1763
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.exportRequired
true
ethz.COinS
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