<div class="csl-bib-body">
<div class="csl-entry">Kammerhofer, A., Pühringer, F., Kostka, L. W., & Berger, M. (2023). Understanding Spatio-Temporal Usage Patterns of Cargo Bike Sharing to Foster Market Diffusion. In <i>REAL CORP 2023: Let it grow, let us plan, let it grow - nature-based solutions for sustainable resilient smart green and blue cities : proceedings of 28th International Conference on Urban Planning, Regional Development and Information Society</i> (pp. 881–892).</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/190129
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dc.description.abstract
Cargo bikes promote urban resilience as they ensure a local supply of goods, can be used flexibly, are
reliable and require low energy, and can even be driven by muscle power. Further, they contribute to socially
inclusive mobility. Although driving cargo bikes may require some training, they do not require a driving
licence and can be available for different income ranges (e.g. in the form of cargo bike sharing). Thus, they
also contribute to health-promoting mobility. Cargo bike sharing is a relevant solution to offer households a
practical, environmentally friendly and cheaper mode of transport.
According to public welfare-oriented goals, cargo bike sharing is often provided on behalf of, or with
(financial) public sector support, in cooperation with residential developers or based on voluntary work in
Austria and Germany. However, peer-to-peer cargo bike sharing offers and host-based sharing systems often
do not meet all the criteria attributed to shared mobility services. In order to reach the full potential of cargo
bike sharing, a better understanding of spatio-temporal usage patterns is needed to foster a shift towards
higher quality service provision, especially regarding tailor-made services for different user groups.
The following article investigates the role of availability and type of service provision by evaluating booking
data and spatio-temporal data in three case studies. GPS tracking is rarely used to better understand cargo
bike usage, but it reveals further knowledge of the characteristics of users and their spatial usage patterns.
Based on three use cases, usage, users and spatial patterns of cargo bike sharing usage are analysed, the
respective potentials are shown, and the added value of spatial data collection is discussed.
en
dc.language.iso
en
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dc.subject
mobility planning
en
dc.subject
resilience
en
dc.subject
spatio-temporal data
en
dc.subject
sharing, cargo bike
en
dc.title
Understanding Spatio-Temporal Usage Patterns of Cargo Bike Sharing to Foster Market Diffusion
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.relation.isbn
978-3-9504945-2-5
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dc.description.startpage
881
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dc.description.endpage
892
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
REAL CORP 2023: Let it grow, let us plan, let it grow - nature-based solutions for sustainable resilient smart green and blue cities : proceedings of 28th International Conference on Urban Planning, Regional Development and Information Society
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tuw.peerreviewed
true
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tuw.relation.publisherplace
Ljubljana
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tuw.researchTopic.id
E2
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tuw.researchTopic.name
Sustainable and Low Emission Mobility
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E280-05 - Forschungsbereich Verkehrssystemplanung
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dc.description.numberOfPages
12
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tuw.author.orcid
0000-0002-5983-9148
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tuw.author.orcid
0009-0008-1420-1483
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tuw.author.orcid
0000-0001-8296-9349
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tuw.event.name
28th International Conference on Urban Planning, Regional Development and Information Society (REAL CORP2023)