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Evidence mapping of behavioral interventions to promote sustainable mobility behavior

June 11, 2024 / 15:3017:00

Behavioral interventions are considered promising approaches to promote pro-environmental behavior. Applying these interventions in high-emission sectors such as transportation could help mitigating climate change. While systematic evidence synthesis is important for a variety of stakeholders within and beyond academia, to our knowledge there are few systematic reviews and no systematic map focusing on behavioral interventions such as choice architecture and nudging in the mobility sector. Moreover, while various and complex behaviors are relevant, the syntheses on mobility to date focus on a limited number of behaviors such as mode choice. Against this background, it is the objective of this research project to collect and catalog existing empirical evidence on behavioral interventions targeting different mobility-related outcomes in multiple contexts that focus on reducing the negative environmental impact of transportation. Thus, the study aims to identify existing research foci and remaining research gaps. For this reason, the evidence synthesis takes the form of a systematic map as described by the Collaboration for Environmental Evidence (CEE). It also follows the RepOrting Standards for Systematic Evidence Synthesis (ROSES). Our search strategy includes searching in six bibliographic databases, one search engine, and one thesis repository. A supplementary search to find grey literature comprises a large set of organizational websites, snowball sampling, and expert consultations. Screening will follow a three-step approach based on pre-specified PICO-FS screening criteria, followed by a narrative synthesis. The analyzes will summarize, among other things, the current state of research with respect to the behavioral interventions tested, as well as the respective mobility behaviors and contexts in which these techniques were deployed.

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Conference Themes
Climate Policy (Instrument) Evaluation
Research Methods
Evidence mapping