Kammerhofer, Aurelia and Pühringer, Florian and Kostka, Leo and Berger, Martin (2023) Understanding Spatio-Temporal Usage Patterns of Cargo Bike Sharing to Foster Market Diffusion. LET IT GROW, LET US PLAN, LET IT GROW. Nature-based Solutions for Sustainable Resilient Smart Green and Blue Cities. Proceedings of REAL CORP 2023, 28th International Conference on Urban Development, Regional Planning and Information Society. pp. 881-892. ISSN 2521-3938
Text (Understanding Spatio-Temporal Usage Patterns of Cargo Bike Sharing to Foster Market Diffusion)
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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.
Item Type: | Article |
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Uncontrolled Keywords: | mobility planning, resilience, spatio-temporal data, sharing, cargo bike |
Subjects: | H Social Sciences > HD Industries. Land use. Labor H Social Sciences > HE Transportation and Communications H Social Sciences > HM Sociology |
Depositing User: | REAL CORP Administrator |
Date Deposited: | 02 Oct 2023 19:38 |
Last Modified: | 04 Oct 2023 17:46 |
URI: | http://repository.corp.at/id/eprint/983 |
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