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      3 Months without the car in Bielefeld, Germany– a mixed-method study exploring individual motivation to participate in a municipal intervention

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          Abstract

          Background

          Climate change is a major public health issue worldwide. To achieve climate targets and reduce morbidity, a paradigm shift in individual behavior e.g., in mobility, is needed. Municipal interventions can motivate individuals to engage in climate-friendly behavior through different psychological mechanisms. In order for successful interventions, it is necessary to gain better insight from study participants and their reasons for participating in mobility projects (e.g., motivational aspects).

          Materials and methods

          A mixed-methods design was used to evaluate reasons and characteristics of people for participating in an municipal mobility intervention. The quantitative sub-study assesses socioeconomic characteristics, environmental awareness and perceived stress. The qualitative sub-study explores motivation for participation and change, perspectives on car replacement and reasons for car use.

          Results

          Results show that participants ( n = 42) are rather high educated and show medium environmental awareness. Participants of the qualitative study part ( n = 15) were motiviated to reduce car use already before the intervention and used the intervention as starting point or trial phase.

          Conclusions

          Urban intervention projects with fitted recruitment strategies and better insights from study participants with the aim to motivate individuals to engage in climate-friendly behavior can help to strengthen sustainability and public health.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12889-024-18266-7.

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          Most cited references48

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          A Global Measure of Perceived Stress

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            Sample sizes for saturation in qualitative research: A systematic review of empirical tests

            To review empirical studies that assess saturation in qualitative research in order to identify sample sizes for saturation, strategies used to assess saturation, and guidance we can draw from these studies.
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              R: a language and environment for statistical computing

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                Author and article information

                Contributors
                timothy.mc_call@uni-bielefeld.de
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                11 March 2024
                11 March 2024
                2024
                : 24
                : 759
                Affiliations
                [1 ]School of Public Health, Bielefeld University, ( https://ror.org/02hpadn98) 33615 Bielefeld, Germany
                [2 ]Sustainable Environmental Health Sciences, Medical School OWL, Bielefeld University, ( https://ror.org/02hpadn98) 33615 Bielefeld, Germany
                [3 ]Working group Environment and Health, School of Public Health, Bielefeld University, ( https://ror.org/02hpadn98) 33615 Bielefeld, Germany
                Author information
                http://orcid.org/0000-0002-2945-7309
                http://orcid.org/0000-0002-0948-2718
                Article
                18266
                10.1186/s12889-024-18266-7
                10929177
                38468196
                c93a1741-a709-4ff2-922c-74b2498086fe
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 24 August 2023
                : 3 March 2024
                Funding
                Funded by: Universität Bielefeld (3146)
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2024

                Public health
                behavior change,mobility,mixed-methods design,pro-environmental behavior,health,well-being

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