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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/11321

Title: Improved policy support through segmentation based on social acceptance
Authors: COOLS, Mario
WETS, Geert
Issue Date: 2011
Publisher: TRB
Citation: TRB 90th Annual Meeting - Compendium of papers DVD.
Series/Report: Transportation Research Record
Abstract: 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.
URI: http://hdl.handle.net/1942/11321
ISSN: 0361-1981
Category: C2
Type: Proceedings Paper
Appears in Collections: Research publications

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