User-based definition of higher order decision constructs to model preferences for P&R transfer points

Abstract

Cities in industrialized countries are increasingly confronted with the negative consequences of the increase in private car use which results in traffic jams and parking problems. The paper discusses the creation of transfer points (P&Rs) at the edge of cities where car users can switch to public transit in an effort to achieve a reduction in the number of cars entering the city center. The specific focus of the paper is the hierarchical information integration (HII) method. This method requires relevant attributes to be clustered into decision constructs. To attain potentially more valid results, the grouping of attributes should be based on empirical data. The paper has developed and applied such an empirically based grouping procedure and presents the results of an internet-based survey completed by potential users of P&Rs.

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