Abstract
A survey method is described that has been successfully used to gather multi-dimensional user preferences for public transit information systems. Iterative user testing aided in both (a) creation of a transit meta-scenario and (b) design of an intuitive survey method for collecting a broad array of data in a short period of time (30 minutes). The survey provided user requirements for 2,304 combinations of preferred types of information, as well as where, when, and the preferred delivery method for each type. Letter-number combinations were used to capture where and how participants wanted each information type. The survey method provided high-quality data over a range of transit customer types. Effectiveness of the survey no doubt benefited from the iterative user testing approach used during development. The technique employed in this study provides an efficient and productive approach to the collection of multi-dimensional user requirements.
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