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dc.contributor.author
Mesaric, Raphael
dc.contributor.author
Meister, Adrian
dc.contributor.author
Winkler, Caroline
dc.contributor.author
Schatzmann, Thomas
dc.contributor.author
Axhausen, Kay W.
dc.date.accessioned
2020-08-04T04:47:29Z
dc.date.available
2020-08-03T14:19:51Z
dc.date.available
2020-08-04T04:47:29Z
dc.date.issued
2020-08
dc.identifier.uri
http://hdl.handle.net/20.500.11850/429814
dc.identifier.doi
10.3929/ethz-b-000429814
dc.description.abstract
This paper analyzes the traffic generated by delivery services and the drivers of demand behind it. The evaluation is based on a regression analysis of four surveys conducted in Switzerland and Singapore during the COVID-19 pandemic. The demand for delivery services has strongly increased in recent years. Despite the fact that a lot of research is addressing the question of more efficient business models to mitigate the negative implications of delivery services on traffic and environment, little is known about the actual traffic volume generated by delivery services and the drivers of demand. This paper analyzes these topics based on a regression analysis of survey data from four survey conducted in Switzerland and Singapore during the COVID-19 pandemic. The applied regression models confirm the results of the descriptive analysis and show the impact of age, gender, income, education and family situation as well as the general shopping behavior on the demand for deliveries. Food orders are often made by younger people without children and lower education levels, while parcels are more often received by younger people with children, higher income and higher education levels. For both food and parcel deliveries, complementary effects between consumer behavior, online and in-store shopping can be observed.
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.subject
Delivery services
en_US
dc.subject
Demand analysis
en_US
dc.subject
Survey data
en_US
dc.subject
Zero-inflated regression analysis
en_US
dc.title
How many people come to our door?
en_US
dc.type
Working Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2020-08-04
ethz.journal.title
Arbeitsberichte Verkehrs- und Raumplanung
ethz.journal.volume
1543
en_US
ethz.size
20 p.
en_US
ethz.notes
Paper submitted for presentation at the 100th Annual Meeting of the Transportation Research Board, Washington D.C., January 2021
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 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
2020-08-03T14:20:01Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.identifier.internal
1543
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2020-08-04T04:48:01Z
ethz.rosetta.lastUpdated
2024-02-02T11:30:55Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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