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Technologies for European Surveys of Travel Behaviour

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Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Verwertbare Ergebnisse

The cost-effective collection of long-distance travel behaviour data is crucial for the formulation of the European transport policy, especially at the European level. While the project MEST (Methods for European Surveys of Travel Behaviour) was developing an European benchmark survey (see e.g.. Youssefzadeh and Axhausen, 1996), this project developed innovative technologies to improve data collection, processing and dissemination. It addressed in this way some of the objectives of Task 1.9 of the Strategic Transport Research Programme "Structure and maintenance of the transport information system", while furthering the overall objectives of more efficient data collection and dissemination. While there was a whole range of possible avenues for improvement, the project concentrated on five areas deemed to be very promising: 1 Using hand-held computers as a tool for near-real-time data collection 2 Offering respondents Internet-based forms for the completion of long-distance travel surveys. 3 Using geographical information systems (GIS) to enrich travel diary data sets, in particular with respect to geocoding 4 Using artificial intelligence approaches to improve data imputation and error correction 5 Building a World-Wide-Web interface to disseminate survey results The tools developed in areas 1 and 2 above were tested in final part of the project by a partner not involved in their development. (see www.fundp.ac.be/~grt/test for detailed reports).

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