Reference : Optimizing the implementation of policy measures through social acceptance segmentation
Scientific journals : Article
Engineering, computing & technology : Civil engineering
Business & economic sciences : Special economic topics (health, labor, transportation…)
http://hdl.handle.net/2268/132947
Optimizing the implementation of policy measures through social acceptance segmentation
English
Cools, Mario mailto [Hogeschool-Universiteit Brussel - HUB > > > >]
Brijs, Kris [Universiteit Hasselt - UH > > > >]
Tormans, Hans [Universiteit Hasselt - UH > > > >]
De Laender, Jessie [Universiteit Hasselt - UH > > > >]
Wets, Geert [Universiteit Hasselt - UH > > > >]
2012
Transport Policy
Pergamon Press - An Imprint of Elsevier Science
22
80–87
Yes (verified by ORBi)
International
0967-070X
[en] Sustainable transport ; Demand-restricting policy measures ; Social acceptance ; Q-methodology
[en] This paper proposes Q-methodology as a technique for the identification of more homogeneous subgroups or ‘segments’ within a rather heterogeneous overall population when it comes to social acceptance of demand-restricting policy measures. Identification of such segments would allow policy makers to better tailor their future actions and thereby increase the chance for a successful implementation of the measures they propose. A set of 33 persons, selected in function of age, gender and car ownership evaluated the acceptability of a total number of 42 demand-restricting policy measures. Special care was taken that the final set of statements covered the four classically distinguished demand-restricting strategies, i.e., improved transport options, incentives for the use of alternative transport modes, parking and land-use management, and institutional policy revision. In addition, a balance between both ‘hard’ and ‘soft’ and ‘push’ and ‘pull’ measures was strived for. The results indicate that four different segments in terms of social acceptance of demand-restricting policy measures can be distinguished, i.e., travelers in favor of traffic calming, travelers against hard push measures, travelers in favor of demand restriction, and travelers against policy innovations. Besides the differences and similarities between these segments, the practical implications for policy makers are discussed, together with a series of specific recommendations and suggestions for future research.
Lepur : Centre de Recherche sur la Ville, le Territoire et le Milieu rural ; LEMA - Local Environment Management and Analysis
Researchers ; Professionals ; Students ; General public ; Others
http://hdl.handle.net/2268/132947
10.1016/j.tranpol.2012.05.013

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