IDEAS home Printed from https://ideas.repec.org/p/cdl/uctcwp/qt00g9770f.html
   My bibliography  Save this paper

A Model of Household Demand for Activity Participation and Mobility

Author

Listed:
  • Golob, Thomas F.

Abstract

With modern multivariate statistical methods and activity-diary (time-use) data sets, it is possible to model household mobility decisions as being derived from decisions to participate in activities at various locations. We show how this can be accomplished by specifying activity participation by activity type and location as endogenous variables, with a simple locational distinction of “at home†versus “out of home.†The activity participation variables are then combined in a model system of simultaneous equations with variables that measure mobility demand: travel times by mode, household vehicle ownership and household vehicle utilization. We specify the model in terms of latent, multivariate normally distributed choice variables, and this treatment solves estimation problems associated with censored and ordinal observed endogenous variables. The estimation method provides accurate goodness-of-fit model evaluation and hypothesis testing. Results are shown from a model estimated using two-day activity diary data for male and female household heads and associated accessibility data collected in the Portland, Oregon, U.S.A. Metropolitan Area in 1994. The model system can be used in conjunction with conventional travel demand models, to provide forecasts of the effects of factors such as accessibility and in-home work, on travel demand by mode, car ownership, and car vehicle miles of travel. This type of model system has the potential of replacing some existing demand forecasting models.

Suggested Citation

  • Golob, Thomas F., 1996. "A Model of Household Demand for Activity Participation and Mobility," University of California Transportation Center, Working Papers qt00g9770f, University of California Transportation Center.
  • Handle: RePEc:cdl:uctcwp:qt00g9770f
    as

    Download full text from publisher

    File URL: http://www.escholarship.org/uc/item/00g9770f.pdf;origin=repeccitec
    Download Restriction: no

    References listed on IDEAS

    as
    1. Golob, Thomas F., 1990. "The Dynamics of Household Travel Time Expenditures and Car Ownership Decisions," University of California Transportation Center, Working Papers qt1676t0bp, University of California Transportation Center.
    2. Golob, Thomas F. & Van Wissen , Leo, 1989. "A Joint Household Travel Distance Generation and Car Ownership Model," University of California Transportation Center, Working Papers qt16h8h2gh, University of California Transportation Center.
    3. Golob, Thomas F. & van Wissen, Leo, 1989. "A joint household travel distance generation and car ownership model," Transportation Research Part B: Methodological, Elsevier, vol. 23(6), pages 471-491, December.
    4. 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.
    5. Fair, Ray C, 1977. "A Note on the Computation of the Tobit Estimator," Econometrica, Econometric Society, vol. 45(7), pages 1723-1727, October.
    6. Amemiya, Takeshi, 1973. "Regression Analysis when the Dependent Variable is Truncated Normal," Econometrica, Econometric Society, vol. 41(6), pages 997-1016, November.
    7. Ulf Olsson & Fritz Drasgow & Neil Dorans, 1982. "The polyserial correlation coefficient," Psychometrika, Springer;The Psychometric Society, vol. 47(3), pages 337-347, September.
    8. 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.
    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.
    11. Golob, Thomas F. & Van Wissen, Leo, 1989. "A Joint Household Travel Distance Generation And Car Ownership Model," University of California Transportation Center, Working Papers qt72h4k912, University of California Transportation Center.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:eee:eejocm:v:24:y:2017:i:c:p:4-21 is not listed on IDEAS
    2. Kitamura, Ryuichi & Fujii, Satoshi & Pas, Eric I., 1997. "Time-use data, analysis and modeling: toward the next generation of transportation planning methodologies," Transport Policy, Elsevier, vol. 4(4), pages 225-235, October.
    3. Ferrell, Christopher Erin, 2005. "The Effects of Teleshopping on Travel Behavior and Urban Form," University of California Transportation Center, Working Papers qt7911x32b, University of California Transportation Center.
    4. Kim, Seung-Nam & Choo, Sangho & Mokhtarian, Patricia L., 2015. "Home-based telecommuting and intra-household interactions in work and non-work travel: A seemingly unrelated censored regression approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 80(C), pages 197-214.
    5. Kharoufeh, Jeffrey P. & Goulias, Konstadinos G., 2002. "Nonparametric identification of daily activity durations using kernel density estimators," Transportation Research Part B: Methodological, Elsevier, vol. 36(1), pages 59-82, January.
    6. Seung-Nam Kim, 2016. "Two traditional questions on the relationships between telecommuting, job and residential location, and household travel: revisited using a path analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(2), pages 537-563, March.

    More about this item

    Keywords

    Social and Behavioral Sciences;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:uctcwp:qt00g9770f. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Lisa Schiff). General contact details of provider: http://edirc.repec.org/data/itucbus.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.