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The Perceived Usefulness of Different Sources of Traffic Information to Trucking Operations

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  • Golob, Thomas F.
  • Regan, Amelia C.

Abstract

Modern panel surveys frequently suffer from high and likely non-ignorable attrition, and transportation surveys suffer from poor travel time estimates. This paper examines new methods for adjusting forecasts and model estimates to account for these problems. The methods we describe are illustrated using a new panel survey of 1500 commuters in San Diego, California. These data are being collected to evaluate a federally-funded “Congestion Pricing” experiment investigating the impacts of allowing solo drivers to pay to use freeway carpool lanes. The panel survey, begun in Fall 1997, collects data on travel behavior and attitudes at six-month intervals through telephone interviews. The panel sample is refreshed with new respondents at each wave to counteract the attrition between waves. Both the original and refreshment samples are stratified on commuters’ mode choice (solo drive in free lanes, pay to solo drive in the carpool lanes, or carpool for free in carpool lanes) to insure sufficient sample size for estimating our models.

Suggested Citation

  • Golob, Thomas F. & Regan, Amelia C., 2000. "The Perceived Usefulness of Different Sources of Traffic Information to Trucking Operations," University of California Transportation Center, Working Papers qt95d8d0xk, University of California Transportation Center.
    • Handle: RePEc:cdl:uctcwp:qt95d8d0xk
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    References listed on IDEAS

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    1. Golob, Thomas F. & Regan, Amelia C., 2000. "Freight industry attitudes towards policies to reduce congestion," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 36(1), pages 55-77, March.
    2. Hall, Randolph W. & Intihar, Chris, 1997. "Commercial Vehicle Operations: Government Interfaces And Intelligent Transportation Systems," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9p272488, Institute of Transportation Studies, UC Berkeley.
    3. ,, 2000. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 16(2), pages 287-299, April.
    4. Cajo Braak, 1990. "Interpreting canonical correlation analysis through biplots of structure correlations and weights," Psychometrika, Springer;The Psychometric Society, vol. 55(3), pages 519-531, September.
    5. Golob, Thomas F. & Regan, Amelia C., 2001. "Impacts of highway congestion on freight operations: perceptions of trucking industry managers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(7), pages 577-599, August.
    6. Scapinakis, Dimitris A. & Garrison, William L., 1991. "Communications And Positioning Systems In The Motor Carrier Industry," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt15j086pf, Institute of Transportation Studies, UC Berkeley.
    7. Hensher, David A. & Golob, Thomas F., 1999. "Searching for policy priorities in the formulation of a freight transport strategy: a canonical correlation analysis of freight industry attitudes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 35(4), pages 241-267, December.
    8. Regan, Amelia C. & Golob, Thomas F., 2000. "Trucking industry perceptions of congestion problems and potential solutions in maritime intermodal operations in California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(8), pages 587-605, November.
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