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DAY-TO-DAY VARIABILITY IN TRAVEL USING
LEXINGTON, KY GPS-BASED DATA SET


FINAL REPORT
Measuring Day-to-Day Variability in
Travel Behavior Using GPS Data

Ram M. Pendyala, Ph.D.
Department of Civil and Environmental Engineering University of South Florida
4202 East Fowler Avenue, ENB 118
Tampa, FL 33620-5350

Under Order No. DTFH61-99-P-00266

CONTENTS
  1. Introduction
  2. Importance of Multiday Travel Surveys
  3. Literature Review on Day-to-Day Variability in Travel Behavior
  4. Overview of GPS-based Travel Survey in Lexington, KY
  5. Data and Sample Description
  6. Exploratory Comparison of Mean Travel Characteristics by Day
  7. Degree of Repetition in Behavior
  8. Measuring Variability in Travel Characteristics
  9. Conclusions and Future Research
  10. References

ACKNOWLEDGMENTS

Special thanks go to the project manager, Elaine Murakami, with the Federal Highway Administration, for her guidance and assistance throughout the course of this project. Several graduate students at the University of South Florida, including Lalit Yalamanchili, Govardhan Reddy, Abhishankar Parashar, and Sridhar Sunkanapalli assisted in the preparation and analysis of the data used in this study.


DISCLAIMER


The contents of this report reflect the views of the author who is responsible for the facts and the accuracy of the information presented herein. The contents do not necessarily reflect the official views or policies of the Federal Highway Administration. This report does not constitute a standard, specification, or regulation.


TABLES

  1. Characteristics of Survey Sample
  2. Comparison of Mean Travel Characteristics Across Reported Days
  3. Comparison of Mean Travel Characteristics Across Weekdays
  4. Comparison of Mean Travel Characteristics Across Weekend Days
  5. Analysis of Repetition of Behavior in Multiday Samples
  6. Analysis of Repetition of Behavior in Weekday Samples


FIGURES

    1. Methodological Framework for Measuring Variability in Travel
    2. Intra-personal Variability for Trip Frequencies and Travel Times
    3. Intra-personal Variability for VMT and Departure/Arrival Times




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