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.
|Number of pages||12|
|Journal||Transportation Research Procedia|
|State||Published - 2018|
|Event||2017 ISCTC 11th International Conference on Transport Survey Methods - Esterel, Canada|
Duration: Sep 24 2017 → Sep 29 2017
Bibliographical noteFunding Information:
This research was funded through the National Cooperative iH ghway Research Program (NCHRP) on Project 08-36C, Task 123: Survey Sample Size and Weighting. The full project report and associated appendices have been published by the Transportation Research Board as Research Results Digest 400 (Rizzo and Erhardt 2016). The work was completed by the authors as representatives of RAND and Westat. We thank Larry Goldstein and the NCHRP project panel for their valuable input, and the Ohio Department of Transpor tation and the Northeast Ohio Areawide Coordinating Agency (NOACA) for providing data.
© 2018 The Authors. Published by Elsevier Ltd.
- GPS-Enabled Surveys
- Multi-Day Surveys
- Sample Size
- Travel Demand Model
ASJC Scopus subject areas