Evaluating the biases and sample size implications of multi-day GPS-enabled household travel surveys

This research explores biases and samples size implications of a multi-day GPS-enabled household travel survey. The bias tests show significant differences both across survey days and across the data collection method, indicating the weakness of the GPS-only approach use in a subsample of this survey. The research goes on to examine the sample size implications of collecting additional survey days. It finds that the three-day Northeast Ohio sample is equivalent to a single-day sample between 26% and 64% larger. The framework provides a viable means of corrected the repeated measurement problem, and should be repeated using an unbiased survey.

• Record URL:
  https://doi.org/10.1016/j.trpro.2018.10.051
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S2352146518302059
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
• Supplemental Notes:
  • © 2018 Gregory D Erhardt and Louis Rizzo.
• Authors:
  • Erhardt, Gregory D
  • Rizzo, Louis
• Conference:
  • 11th International Conference on Transport Survey Methods
  • Location: Estérel Québec, Canada
  • Date: 2017-9-24 to 2017-9-29
• Publication Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Features: References; Tables;
• Pagination: pp 279-290
• Serial:
  • Transportation Research Procedia
  • Volume: 32
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2352-1465
  • Serial URL: http://www.sciencedirect.com/science/journal/23521465/
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Data collection; Global Positioning System; Households; Statistical bias; Statistical sampling; Travel demand; Travel surveys
• Geographic Terms: Ohio
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting;

Filing Info

• Accession Number: 01689519
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 20 2018 3:33PM