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Workshop Synthesis: Sampling Issues, Data Quality & Data Protection
Transportation Research Procedia
  • Jimmy Armoogum
  • Jennifer Dill, Portland State University
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Publication Date
  • Errors-in-variables models,
  • Transportation -- Research,
  • Privacy and identity protection,
  • Information storage and retrieval systems,
  • Data archives
This workshop discussed various aspect of the mathematical part of survey methodology, as well as archiving and confidentiality issues aimed at improving data quality and its use through time. Participants identified ways to correct or minimize bias by dealing with incomplete sampling frames, using weighing and imputing procedures. We discussed methods to archive and share GPS-based survey data to preserve anonymity. Finally, we debated research needs on these topics for the next following years.

Copyright 2015 Published by Elsevier B.V.

This is an open access article under the CC BY-NC-ND license

10th International Conference on Transport Survey Methods

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Armoogum, J., & Dill, J. (2015). Workshop Synthesis: Sampling Issues, Data Quality & Data Protection. Transportation Research Procedia, 11, 60–65.