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Promoting active mobility: Evidence-based decision-making using statistical models

Roland Hackl, Clemens Raffler, Michael Friesenecker, Hans Kramar, Robert Kalasek, Aggelos Soteropoulos, Susanne Wolf-Eberl, Patrick Posch and Rupert Tomschy

Journal of Transport Geography, 2019, vol. 80, issue C

Abstract: Shifting traffic to active transport modes (eg. walking/cycling) poses one of the most promising ways of tackling the persisting challenges that arise from motorized traffic. However, planning and policy making in walking and cycling domains is frequently impeded by a small-scaled and heterogeneous political landscape that rarely acts based on evidence thus limiting cost-effectiveness and target achievement. This paper proposes a largely data-driven planning approach that builds upon aggregated statistical models explaining walking and cycling modal shares. In addition to investigating a comprehensive set of influencing factors in relevant fields such as environment, climate, infrastructure or demographics, we bring attention to the role of political and administrative commitment in aggregated modal share modeling. Results suggest that our holistic approach is feasible both methodologically and in terms of its applicability in planning practice. As a first step towards evidence-based decision making the incremental effects of individual planning measures can be simulated and thus be used to rank options according to their effectiveness. Another outcome lies in the data-driven identification of spatial target areas for specific agenda setting in terms of awareness, mobility behavior, infrastructure, settlement structure and other planning-relevant domains.

Keywords: Active mobility; Walking/cycling determinants; Political commitment to set actions; Statistical modeling; GIS; Regional policies; Transport policy; Transport planning; Evidence-based planning; Settlement structure (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jotrge:v:80:y:2019:i:c:s0966692318303077

DOI: 10.1016/j.jtrangeo.2019.102541

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