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A simultaneous model of household activity participation and trip chain generation

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  • Golob, Thomas F.

Abstract

A trip generation model has been developed using a time-use perspective, in which trips are generated in conjunction with out-of-home activities, and time spent traveling is another component of overall time use. The model jointly forecasts three sets of endogenous variables - (1) activity participation and (2) travel time (together making up total out-of-home time use), and (3) trip generation - as a function of household characteristics and accessibility indices. It is estimated with data from the Portland, Oregon 1994 Activity and Travel Survey. Results show that the basic model, which has 10 endogenous time use and trip generation variables and 13 exogenous variables, fits well, and all postulated relationships are upheld. Test show that the basic model, which divides activities into work and nonwork, can be extended to a three-way breakdown of subsistence, discretionary and obligatory activities. The model can also capture the effects of in-home work on trip chaining and activity participation. We use the model to explore the effects on time use and trip chaining of GIS-based and zone-based accessibility indices.

Suggested Citation

  • Golob, Thomas F., 2000. "A simultaneous model of household activity participation and trip chain generation," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 355-376, June.
  • Handle: RePEc:eee:transb:v:34:y:2000:i:5:p:355-376
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    1. Goulias , Konstandinos & Pendyala , Ram & Kitamura, Ryuichi, 1990. "Practical Method for the Estimation of Trip Generation and Trip Chaining," University of California Transportation Center, Working Papers qt2mt5c3c2, University of California Transportation Center.
    2. E I Pas, 1986. "Multiday Samples, Parameter Estimation Precision, and Data Collection Costs for Least Squares Regression Trip-Generation Models," Environment and Planning A, , vol. 18(1), pages 73-87, January.
    3. E I Pas, 1986. "Multiday samples, parameter estimation precision, and data collection costs for least squares regression trip-generation models," Environment and Planning A, Pion Ltd, London, vol. 18(1), pages 73-87, January.
    4. David Levinson & Ajay Kumar, 1995. "Activity, Travel, and the Allocation of Time," Working Papers 199505, University of Minnesota: Nexus Research Group.
    5. E I Pas, 1984. "The Effect of Selected Sociodemographic Characteristics on Daily Travel-Activity Behavior," Environment and Planning A, , vol. 16(5), pages 571-581, May.
    6. Munshi, Kaivan, 1993. "Urban passenger travel demand estimation: A household activity approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(6), pages 423-432, November.
    7. Gould, Jane & Golob, Thomas F., 1997. "Shopping Without Travel or Travel Without Shopping? An Investigation of Electronic Home Shopping," University of California Transportation Center, Working Papers qt6vc504h9, University of California Transportation Center.
    8. Kitamura, Ryuichi, 1984. "A model of daily time allocation to discretionary out-of-home activities and trips," Transportation Research Part B: Methodological, Elsevier, vol. 18(3), pages 255-266, June.
    9. Golob, Thomas F. & Beckmann, Martin J. & Zahavi, Yacov, 1981. "A utility-theory travel demand model incorporating travel budgets," Transportation Research Part B: Methodological, Elsevier, vol. 15(6), pages 375-389, December.
    10. Goulias, Konstadinos G. & Pendyala, Ram M. & Kitamura, Ryuichi, 1990. "Practical Method for The Estimation of Trip Generation And Trip Chaining," University of California Transportation Center, Working Papers qt8zx9v3t2, University of California Transportation Center.
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