IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Structural Equation Modeling For Travel Behavior Research

  • Golob, Thomas F.
Registered author(s):

    Structural equation modeling (SEM) is an extremely flexible linear-in-parameters multivariate statistical modeling technique. It has been used in modeling travel behavior and values since about 1980, and its use is rapidly accelerating, partially due to the availability of imporved software. The number of published studies, now known to be more than fifty, has approximatley doubled in the pas three years. This review of SEM is intended to provide an introduction to the field for those who have not used the method, and the compendium of applications for those who wish to compare experiences and avoid the pitfall of reinventing previous research.Â

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://www.escholarship.org/uc/item/2pn5j58n.pdf;origin=repeccitec
    Download Restriction: no

    Paper provided by University of California Transportation Center in its series University of California Transportation Center, Working Papers with number qt2pn5j58n.

    as
    in new window

    Length:
    Date of creation: 01 Dec 2011
    Date of revision:
    Handle: RePEc:cdl:uctcwp:qt2pn5j58n
    Contact details of provider: Postal: 109 McLaughlin Hall, Mail Code 1720, Berkeley, CA 94720-1720
    Phone: 510-642-3585
    Fax: 510-643-3955
    Web page: http://www.escholarship.org/repec/uctc/
    Email:


    More information through EDIRC

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. Ledyard Tucker & Charles Lewis, 1973. "A reliability coefficient for maximum likelihood factor analysis," Psychometrika, Springer, vol. 38(1), pages 1-10, March.
    2. Hirotugu Akaike, 1987. "Factor analysis and AIC," Psychometrika, Springer, vol. 52(3), pages 317-332, September.
    3. 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.
    4. Golob, Thomas F. & Kim, Seyoung & Ren, Weiping, 1996. "How Households Use Different Types of Vehicles: A Structural Driver Allocation and Usage Model," University of California Transportation Center, Working Papers qt6xx6j51x, University of California Transportation Center.
    5. 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.
    6. Golob, Thomas F., 2001. "Joint models of attitudes and behavior in evaluation of the San Diego I-15 congestion pricing project," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(6), pages 495-514, July.
    7. 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.
    8. T F Golob & H Meurs, 1988. "Modeling the dynamics of passenger travel demand by using structural equations," Environment and Planning A, Pion Ltd, London, vol. 20(9), pages 1197-1218, September.
    9. Hamparsum Bozdogan, 1987. "Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions," Psychometrika, Springer, vol. 52(3), pages 345-370, September.
    10. 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.
    11. Aigner, Dennis J. & Hsiao, Cheng & Kapteyn, Arie & Wansbeek, Tom, 1984. "Latent variable models in econometrics," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 23, pages 1321-1393 Elsevier.
    12. Sik-Yum Lee & Sin-Yu Tsang, 1999. "Constrained maximum likelihood estimation of two-level covariance structure model via EM type algorithms," Psychometrika, Springer, vol. 64(4), pages 435-450, December.
    13. P. Bentler, 1983. "Some contributions to efficient statistics in structural models: Specification and estimation of moment structures," Psychometrika, Springer, vol. 48(4), pages 493-517, December.
    14. Golob, Thomas F. & Kim, Seyoung & Ren, Weiping, 1996. "How households use different types of vehicles: A structural driver allocation and usage model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(2), pages 103-118, March.
    15. 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.
    16. Golob, Thomas F & Bunch, David S & Brownstone, David, 1997. "A Vehicle Use Forecasting Model Based on Revealed and Stated Vehicle Type Choice and Utilisation Data," University of California Transportation Center, Working Papers qt2bz335vw, University of California Transportation Center.
    17. Roderick McDonald, 1982. "A note on the investigation of local and global identifiability," Psychometrika, Springer, vol. 47(1), pages 101-103, March.
    18. Jakobsson, C. & Fujii, S. & Gärling, T., 2000. "Determinants of private car users' acceptance of road pricing," Transport Policy, Elsevier, vol. 7(2), pages 153-158, April.
    19. Goldberger, Arthur S, 1972. "Structural Equation Methods in the Social Sciences," Econometrica, Econometric Society, vol. 40(6), pages 979-1001, November.
    20. Golob, Thomas F. & Bunch, David S. & Brownstone, David, 1997. "A Vehicle Use Forecasting Model Based on Revealed and Stated Vehicle Type Choice and Utilisation Data," University of California Transportation Center, Working Papers qt2x86k20c, University of California Transportation Center.
    21. Fujii, Satoshi & Kitamura, Ryuichi, 2000. "Evaluation of trip-inducing effects of new freeways using a structural equations model system of commuters' time use and travel," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 339-354, June.
    22. Arun Kuppam & Ram Pendyala, 2001. "A structural equations analysis of commuters' activity and travel patterns," Transportation, Springer, vol. 28(1), pages 33-54, February.
    23. Kenneth Bollen, 1986. "Sample size and bentler and Bonett's nonnormed fit index," Psychometrika, Springer, vol. 51(3), pages 375-377, September.
    24. Mokhtarian, Patricia & Meenakshisundaram, Ravikumar, 1999. "Beyond Tele-Substitution: Disaggregate Longitudinal Structural Equations Modeling of Communication Impacts," Institute of Transportation Studies, Working Paper Series qt4hg365gh, Institute of Transportation Studies, UC Davis.
    25. 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.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:cdl:uctcwp:qt2pn5j58n. 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)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 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.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.