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| Low data quality and heavy survey burden are standing issues in questionnaire-based household travel surveys (HTS). The proliferation of GPS and Internet-based geospatial technology provides great potential for innovation. This paper presents a web-based, geospatially prompted recall interview platform for GPS-based household travel survey. It made use of geospatial orientation and objects from Google Map as visual and semantic cues to prompt respondents' recall of travel experiences. The realized system functionality includes end-user self-administrated passive GPS survey data uploading, web server database management for GPS and trip data, automated GPS data noise removal, trip/stop candidate extraction, and GPS trajectory simplification, as well as annotated trip visualization and playback animation. Several essential tools for trip editing and attribute updates are provided in a logical and user-friendly manner. This approach was tested in Shanghai, a metropolitan setting of dense population, heavy inner-city traffic, and cement forests. The preliminary results indicated that the Internet map-based interface offered a great deal of heuristics to improve trip recall accuracy, while the backstage data mining algorithms was able to tolerate greater errors in trip recall and attribution from the user. The combined effects of rich geospatial and semantic hints, short system response time, and friendly user interface may help to significantly reduce the physiological and mental burdens on survey respondents, hence leading to a higher rate of participation. |
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| Keywords:transportation; household travel survey; GPS trajectory; prompted recall; trip extraction |
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