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.