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

To achieve a reduction in the number of cars entering the city centre, transfer points (P&Rs) at the city edge should be realised where car users can switch to public transport. However, recently realised P&Rs in the Netherlands do not attract many car users. The planning of more frequently used P&Rs obviously requires a better understanding of the car users preferences. For this purpose, the hierarchical information integration (HII) method will be used. HII requires relevant attributes to be clustered into decision constructs. To the best of our knowledge, the researcher has so far always performed this. This might result in decision constructs that do not reflect the grouping process of travellers. Hence, to attain potentially more valid results the grouping of attributes should be based on empirical data. In this paper, we develop and apply such an empirically based grouping procedure and present the results of an Internet-based survey completed by potential users of P&Rs. For the covering abstract see ITRD E128239.