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

REFERENCES

  1. Battelle Transportation Division (1997) Global Positioning Systems for Personal Travel Surveys. Lexington Area Travel Data Collection Test. Final Report to Office of Highway Information Management, Federal Highway Administration, Washington, D.C.

  2. Hanson, S. and J.O. Huff (1988a) Systematic variability in repetitious travel. Transportation 15, pp. 111-135.

  3. Hanson, S. and J.O. Huff (1988b) Repetition and day-to-day variability in individual travel patterns: Implications for classification. In: Golledge, R. and H. Timmermans (eds) Behavioral Modelling in Geography and Planning, Croom Helm, New York.

  4. Hanson, S. and J.O. Huff (1986) Classification issues in the analysis of complex travel behavior. Transportation 13, pp. 271-293.

  5. Hanson, S. and J.O. Huff (1982) Assessing day-to-day variability in complex travel patterns. Transportation Research Record 891, pp. 18-24.

  6. Hirsh, M., J.N. Prashker, and M. Ben-Akiva (1986) Dynamic model of weekly activity pattern. Transportation Science 20(1), pp. 24-36.

  7. Huff, J.O. and S. Hanson (1990) Measurement of habitual behavior: Examining systematic variability in repetitive travel. In: Jones, P. (ed) Developments in Dynamic and Activity-Based Approaches to Travel Analysis. Gower Publishing Co., Aldershot, England, pp. 229-249.

  8. Huff, J.O. and S. Hanson (1986) Repetition and variability in urban travel. Geographical Analysis 18(2), pp. 97-113.

  9. Jones, P. and M. Clarke (1988) The significance and measurement of variability in travel behaviour. Transportation 15, pp. 65-87.

  10. Kitamura, R. and T. van der Hoorn (1987) Regularity and irreversibility of weekly travel behavior. Transportation 14, pp. 227-251.

  11. Koppelman, F.S. and E.I. Pas (1984) Estimation of disaggregate regression models of person trip generation with multiday data. In: Volmuller, J. and R. Hamerslag (eds) Proceedings of the Ninth International Symposium on Transportation and Traffic Theory, VNU Science Press, Utrecht, The Netherlands, pp. 513-529.

  12. Mahmassani, H. and G.L. Chang (1985) Dynamic aspects of departure-time choice behavior in a commuting system: Theoretical framework and experimental analysis. Transportation Research Record 1037, pp. 88-101.

  13. Mahmassani, H. and G.L. Chang (1986) Experiments with departure time choice dynamics of urban commuters. Transportation Research 20B, pp. 297-320.

  14. Mahmassani, H. and D. Stephan (1988) Experimental investigation of route and departure time dynamics of urban commuters. Transportation Research Record 1203, pp. 69-84.

  15. Mahmassani, H. and R. Herman (1990) Interactive experiments for the study of tripmaker behavior dynamics in congested commuting systems. In: Jones, P. (ed) Developments in Dynamic and Activity-Based Approaches to Travel Analysis. Gower Publishing Co., Aldershot, England, pp. 272-297.

  16. Mannering, F.L. (1989) Poisson analysis of commuter flexibility in changing routes and departure times. Transportation Research 23B(1), pp. 53-60.

  17. Murakami, E. and D.P. Wagner (1999) Can Using Global Positioning System (GPS) Improve Trip Reporting? Transportation Research C, Vol. 7, pp. 149-165.

  18. Pas, E.I. (1988) Weekly travel-activity behavior. Transportation 15, pp. 89-109.

  19. Pas, E.I. (1987) Intra-personal variability and model goodness-of-fit. Transportation Research 21A(6), pp. 431-438.

  20. Pas, E.I. (1986) Multiday samples, parameter estimation precision, and data collection costs for least squares regression trip-generation models. Environment and Planning A 18, pp. 73-87.

  21. Pas, E.I. and F.S. Koppelman (1987) An examination of the determinants of day-to-day variability in individuals' urban travel behavior. Transportation 14, pp. 3-20.

  22. Pas, E.I. and S. Sundar (1995) Intra-personal variability in daily urban travel behavior: Some additional evidence. Transportation 22, pp. 135-150.

  23. Pendyala, R.M. and E.I. Pas (2000) Multiday and Multiperiod Data for Travel Demand Analysis and Modeling. In: Transport Surveys: Raising the Standard, Transportation Research Board, National Research Council, Washington, D.C. (in press).

  24. Yalamanchili, L., R.M. Pendyala, N. Prabaharan, and P. Chakravarthy (1999) Analysis of Activity Chaining Using Lexington, Kentucky GPS Data. Transportation Research Record 1660, Transportation Research Board, National Research Council, Washington, D.C., pp. 58-65.

  25. Zhou, J. and R. Golledge (2000) An Analysis of Household Travel Behavior Based on GPS. Presented at the 9th International Association for Travel Behavior Research Conference, Gold Coast, Australia, July 2-7.

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