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A Framework to Facilitate Advanced Mixed Methods Studies for Investigating Interventions in Road Space for Cycling

Author

Listed:
  • Christian Werner

    (Department of Geoinformatics, University of Salzburg, 5020 Salzburg, Austria)

  • Elisabeth Füssl

    (FACTUM Sozialwissenschaftliche Mobilitätsforschung, 1230 Vienna, Austria)

  • Jannik Rieß

    (FACTUM Sozialwissenschaftliche Mobilitätsforschung, 1230 Vienna, Austria)

  • Bernd Resch

    (Department of Geoinformatics, University of Salzburg, 5020 Salzburg, Austria
    Center for Geographic Analysis, Harvard University, Cambridge, MA 02138, USA)

  • Florian Kratochwil

    (con.sens verkehrsplanung zt gmbh, 1070 Vienna, Austria)

  • Martin Loidl

    (Department of Geoinformatics, University of Salzburg, 5020 Salzburg, Austria)

Abstract

Cycling mobility contributes to better livability in cites, helps societies to reduce greenhouse gas emissions and their dependency on fossil fuels, and shows positive health effects. However, unattractive conditions, primarily inadequate infrastructure, hinder the further growth of cycling mobility. As interactions of cyclists with the (built) environment are complex, assessing potential impacts of an intervention aimed at improving physical conditions is not trivial. Despite a growing body of literature on various facets of cycling mobility, assessments are widely limited to a single method and thereby either focus on one detailed aspect or on one perspective. While multi-method and mixed methods studies are emerging, they are not embedded into a structured, integrated framework for assessing systemic effects of interventions yet. Therefore, we propose a conceptual integration of several relevant methods such as questionnaires, interviews, GIS analyses and human sensing. In this paper, we present a generic, extensible framework that offers guidance for developing and implementing case-specific mixed methods designs for multifaceted assessments of interventions. The framework supports domain experts and researchers across different stages of conducting a study. Results from this research further indicate the added value of mixed methods studies compared to single-method approaches.

Suggested Citation

  • Christian Werner & Elisabeth Füssl & Jannik Rieß & Bernd Resch & Florian Kratochwil & Martin Loidl, 2022. "A Framework to Facilitate Advanced Mixed Methods Studies for Investigating Interventions in Road Space for Cycling," Sustainability, MDPI, vol. 15(1), pages 1-22, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:622-:d:1019574
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    References listed on IDEAS

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