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

Christian Werner (), Elisabeth Füssl, Jannik Rieß, Bernd Resch, Florian Kratochwil and Martin Loidl
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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
Florian Kratochwil: con.sens verkehrsplanung zt gmbh, 1070 Vienna, Austria
Martin Loidl: Department of Geoinformatics, University of Salzburg, 5020 Salzburg, Austria

Sustainability, 2022, vol. 15, issue 1, 1-22

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.

Keywords: sustainable mobility; cycling; GIS analysis; human sensing; quantitative and qualitative social sciences; interview; questionnaire; data integration; mixed methods design (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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