Understanding intention to use bike sharing systems in urban areas in Germany: A mixed-methods analysis
Bike sharing systems (BSSs) can contribute to sustainable mobility. For the design of BSSs, detailed knowledge is still needed about decision-making processes regarding the use of BSSs. This research uses a mixed-methods approach. Using a data set of 202 respondents, a structural equation model (SEM) was calculated with the predictors Performance Expectancy, Effort Expectancy, Facilitating Conditions, Social Influence and Habit. The SEM explained 52% of the variance in Behavioral Intention (BI). Performance Expectancy and Habit emerged as significant predictors. Obtained findings were supplemented by guided interviews to gain further insight. Based on a population that habitually uses its own bicycles, it is suggested to promote BSSs as part of multimodal transportation systems. Flexible pricing models and high-quality bikes are also central aspects to the intention to use BSSs.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
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Supplemental Notes:
- © 2023 Published by Elsevier B.V. Abstract reprinted with permission of Elsevier.
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Authors:
- Papendieck, Paul
- König, Alexandra
- Schuppan, Julia
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Conference:
- Transport Research Arena Conference (TRA Lisbon 2022)
- Location: Lisbon , Portugal
- Date: 2022-11-14 to 2022-11-17
- Publication Date: 2023
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: pp 2221-2228
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Serial:
- Transportation Research Procedia
- Volume: 72
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2352-1465
- Serial URL: http://www.sciencedirect.com/science/journal/23521465/
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Bicycles; Mobility; Sustainable transportation; Travel behavior; Urban areas; Vehicle sharing
- Subject Areas: Pedestrians and Bicyclists; Safety and Human Factors;
Filing Info
- Accession Number: 01913154
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 27 2024 11:52AM