Cited by 1,043Transportation Planning and OptimizationPsychometric Methodologies and TestingEconomic and Environmental Valuation

Structural equation modeling for travel behavior research

Open access
Golob, Thomas F·2003·Transportation Research Part B: Methodological

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/s0191-2615(01)00046-7

Cites

9 of 9 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 71

  1. Aigner, D.J., C. Hsiao, A. Kapteyn and T. Wansbeek, 1984. Latent variable models in econometrics. In Z. Griliches and M.D. Intrilgator (Eds.). Handbook of Econometrics, Vol. 2, 1321-1393. North Holland, Amsterdam.
  2. Anderson, T.W. and H. Rubin, 1956. Statistical inference in factor analysis. In J. Neyman (Ed.), Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability, Vol. V. University of California, Berkeley, 111-150.
  3. Axhausen, K.W., A. Simma and T.F. Golob, 2001. Pre-commitment and usage: Season tickets, cars and travel. European Research in Regional Science, in press.
  4. Bekker, P.A., A. Merckens and T.J. Wansbeek, 1994. Identification, Equivalent Models, and Computer Algebra. Academic Press, New York.
  5. Bentler, P.M., 1980. Multivariate analysis with latent variables: Causal modeling. Annual Review of Psychology 31, 419-456.
  6. Bentler, P.M. and Bonett, D.G., 1980. Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin 88, 558-606.
  7. Berkane, M. (Ed.), 1997. Latent variable modeling and applications to causality. Springer-Verlag, New York.
  8. Bielby, W.T. and R.M. Hauser, 1977. Structural equation models. Annual Review of Sociology, 3, 137-161.
  9. Blalock, H.M., 1963. Making causal inferences for unmeasured v ariables from correlations among indicators. American Journal of Sociology, 69, 53-62.
  10. Bollen, K.A., 1989. Structural Equations with Latent Variables. Wiley, New York.
  11. Bollen, K.A., 1990. Overall fit in covariance structure models: Two types of sample size effects. Psychological Bulletin 107, 256-259.
  12. Bollen, K.A. and J.S. Long (Eds.). 1992. Tests for structural equation models: An introduction. Sociological Methods and Research 21, 123-131.
  13. Boomsma, A., 1982. On the robustness of LISREL against small sample size in factor analysis models. In K.G. Jöreskog and H. Wold (Eds.), Systems under Indirect Observation: Causality, Structure, Prediction, Part 1, 149-173. North-Holland, Amsterdam.
  14. Boomsma, A. and J.J. Hoogland, 2001. The robustness of LISREL modeling revisited. In R. Cudeck, S. du Toit and D. Sörbom (Eds.). Structural Equation Modeling: Present and Future, 139-168. Scientific Software International, Chicago.
  15. Boudon, R., 1965. A method of linear causal analysis: Dependence analysis. American Sociological Review 30, 365-373.
  16. Browne, M.W., 1982. Covariance structures. In D.M. Hawkins (Ed.), Topics in Multivariate Analysis, 72-141. Cambridge University Press, Cambridge.
  17. Browne, M.W., 1984. Asymptotic distribution free methods in analysis of covariance structures. British Journal of Mathematical and Statistical Psychology 37, 62- 83.
  18. Cudeck, R., S. du Toit and D. Sörbom (Eds.). 2001. Structural Equation Modeling: Present and Future. Scientific Software International, Chicago.
  19. Donovan, J.E., 1993. Young adult drinking-driving: Behavioral and psychological correlates. Journal of Studies on Alcohol 54, 600-613.
  20. Duncan, O.D., 1966. Path analysis: Sociological examples. American Journal of Sociology 72, 1-16.
  21. Duncan, O.D., 1975. Introduction to Structural Equation Models. Academic Press, New York.
  22. Epstein, R.J., 1987. A History of Econometrics. Elsevier, New York.
  23. Fox, J., 1984. Linear Statistical Models and Related Methods. Wiley, New York.
  24. Friman, M., B. Edvardsson and T. Gärling, 2001. Frequency of negative critical incidents and satisfaction with public transport services I. Journal of Retailing and Consumer Services 8, 95-104.
  25. Friman, M. and T. Gärling, 2001. Frequency of negative critical incidents and satisfaction with public transport services II. Journal of Retailing and Consumer Services 8, 105-114.
  26. Fujii, S. R. Kitamura, M. Nagao and Y. Doi, 1998. An experimental analysis of intelligibility and efficiency of in-vehicle route guidance system displays. In C.T. Henderson and S.G. Ritchie (Eds.), Proceedings of the Fifth International Conference on Applications of Advanced Technologies in Transportation Engineering, 106-113.
  27. Golob, T.F., 1989. Effects of income and car ownership on trip generation. Journal of Transport Economics and Policy 23, 141-162.
  28. Golob, T.F., 1990a. Structural equation modelling of travel choice dynamics. In P.M. Jones (Ed.), New Developments in Dynamic and Activity -Based Approaches to Travel Analysis, 343-370.
  29. Golob, T.F., 1998. A model of household demand for activity participation and mobility. In T. Gärling, T. Laitilla and K. Westin (Eds.). Theoretical Foundations of Travel Choice Modeling, 365-398. Pergamon, Oxford.
  30. Golob, T.F., D.S. Bunch and D. Brownstone, 1997. A vehicle usage forecasting model based on revealed and stated vehicle type choice and utilization data. Journal of Transport Economics and Policy 31, 69-92.
  31. Golob, T.F., and D.A. Hensher, 1996. Driver behavior of long-distance truck drivers: Effects of schedule compliance on drug use and speeding citations. International Journal of Transport Economics 23, 267-301.
  32. Golob, T.F., Kitamura, R. and Supernak, J., 1997. A panel-based evaluation of the San Diego I -15 Carpool Lanes Project. In T.F. Golob, R. Kitamura and L. Long (Eds.), Panels for Transportation Planning: Methods and Applications, 97-128, Kluwer Academic Publishers, Boston.
  33. Golob, T.F. and A.C. Regan, 2001b. Trucking industry adoption of information technology: A structural multivariate probit model. Transportation Research C, in press.
  34. Hayduk, L.A., 1987. Structural Equation Modeling with LISREL: Essentials and Advances. Johns Hopkins University Press, Baltimore.
  35. Hoyle, R.H. (Ed.)., 1995. Structural Equation Modeling. Sage, Thousand Oaks, CA.
  36. Jöreskog, K.G., 1973. A general method for estimating a linear structural equation system. In A.S. Goldberger and O.D. Duncan (Eds.) Structural Equations Models in the Social Sciences. Academic Press, New York.
  37. Jöreskog, K.G. and D. Sörbom, 1979. Advances in Factor Analysis and Structural Equation Models. Abt Books, Cambridge, MA.
  38. Kaplan, D., 2000. Structural Equation Modeling: Foundations and Extensions. Sage Publications, Newbury Park, CA.
  39. Keesling, J.W., 1972. Maximum likelihood approaches to causal analysis. Unpublished Ph.D. dissertation, Department of Education, University of Chicago.
  40. Kitamura, R., 1997. Activity-based travel demand forecasting and policy analysis. In L.J. Engelke (Ed.), Activity-based Travel Forecasting Conference: Summary, Recommendations and Compendium of Papers. Report of the Travel Model Improvement Program, Texas Transportation Institute, Arlington, TX.
  41. Kitamura, R., J.P. Robinson, T.F. Golob, M.A. Bradley, J. Leonard and T. van der Hoorn, 1992. A comparative analysis of time use data in the Netherlands and California. In Proceedings of the 20 th PTRC Summer Annual Meeting: Transportation Planning Methods, 127-138.
  42. Kline, R.B., (Ed.), 1998. Principles and Practice of Structural Equation Modeling. Guilford Press, New York.
  43. Kline, R.B., 1998. Software programs for structural equation modeling: AMOS, EQS, and LISREL. Journal of Psychoeducational Assessment 16, 302-323.
  44. Lawley, D.N., 1940. The estimation of factor loadings by the method of maximum likelihood. Proceedings of the Royal Society of Edinburgh 60, 64-82.
  45. Lyon, P.K., 1981a. T ime-dependent Structural Equations Modelling of the Relationships Between Attitudes and Discrete Choices Behavior of Transportation Consumers. Dissertation, Northwestern University and Technical Report IL -11-0012, Office of Policy Research, Urban Mass Transportation Administration, Washington, DC.
  46. Maruyama, G., 1998. Basics of Structural Equation Modeling. Sage Publications, Newbury Park, CA.
  47. McArdle, B.H., 1988. The structural relationship: Regression in biology. Canadian Journal of Zoology 66, 2329-2339.
  48. McCartt, A.T., B.E. Wright, J.W. Rohrbaugh and M.C. Hammer, 1999. Causes of sleepiness-related driving among long-distance truck drivers including violations of the hours-of-service regulations. Proceedings of the Conference on Traffic Safety on Two Continents, Mälmo, Sweden, 155-172.
  49. McDonald, R.P. and H.W. Marsh, 1990. Choosing a multivariate model: Noncentrality and goodness of fit. Psychological Bulletin 107, 247-255.
  50. Morikawa, T. and K. Sasaki, 1998. Discrete choice models with latent variables using subjective data. In J. de D. Ortuzar, D.A. Hensher and S. Jara-Diaz (Eds.). Travel Behaviour Research: Updating the State of Pla,435-455. Pergamon, Oxford.
  51. Mueller, R., 1996. Basic Principles of Structural Equation Modeling: An introduction to LISREL and EQS. Springer Verlag, New York.
  52. Mulaik, S.A., L.R. James, J. Van Alstine, N. Bennett, S. Lind and C.D. Stilwell, 1989. Evaluation of goodness-of-fit indices for structural equation models. Psychological Bulletin 105, 430-445.
  53. Muthén, B., 1979. A structural probit model with latent variables. Journal of the American Statistical Association 74, 807-811.
  54. Muthén, B., 1983. Latent variable structural equation modeling with categorical data. Journal of Econometrics 22, 43-65.
  55. Neale, M.C., 1997. Mx: Statistical Modeling (4 th ed.). Department of Psychiatry, Virginia Commonwealth University, Richmond, VA.
  56. Pas, E.I., 1997a. Recent developments in activity-based travel demand modeling. In L.J. Engelke, ed., Activity-based Travel Forecasting Conference: Summary, Recommendations and Compendium of Papers, 79-102. Report of the Travel Model Improvement Program, Texas Transportation Institute, Arlington, TX.
  57. In H.S. Mahmassani (Ed.), Recent Developments in Travel Behavior Research. Pergamon, Oxford, in press.
  58. Pendyala, R., 1998. Causal analysis in travel behaviour Research: A cautionary note. In J. de D. Ortuzar, D.A. Hensher and S. Jara-Diaz (Eds.). Travel Behaviour Research: Updating the State of Play, 35-48. Pergamon, Oxford.
  59. Pearl, J., 2000. Causality: models, reasoning, and inference. Cambridge University Press, Cambridge.
  60. Satorra, A. and P.M. Bentler, 1988. Scaling corrections for chi-squared statistics in covariance structure analysis. In Proceedings of the American Statistical Association, 308-313. American Statistical Association, Alexandria, VA.
  61. Schoenberg, R., 1989. Covariance structure models. Annual Review of Sociology, 15, 425-440.
  62. Schwarz, G., 1978. Estimating the dimension of a model. Annals of Statistics 6, 461- 464.
  63. Shipley, B., 2000. Cause and Correlation in Biology. University Press, Cambridge.
  64. Simma, A., M. Vrtic and K.W. Axhausen, 2001. Interactions of travel behaviour, accessibility and personal characteristics: The case of the Upper Austria Region. Presented at the European Transport Conference, Sept. 10-12, Cambridge, England.
  65. Sobel, M.E. and G.W. Bohrnstedt, 1985. Use of null models in evaluating the fit of covariance structure models. In N.B. Tuma (Ed.), Sociological Methodology, 1985, 152, 178. Jossey-Bass, San Francisco.
  66. Spirtes, P., C. Glymour and R. Scheines, 2001. Causation, Prediction, and Search, 2 nd Ed. MIT Press, Cambridge, MA.
  67. Ullman. J.B., 1996. Structural equation modeling. In B.G. Tabachnick and L.S. Fidell (Eds.). Using Multivariate Statistics, 3rd Ed., 709-819. New York, HarperCollins College Publishers.
  68. Wiley, D.E., 1973. The identification problem for structural equations with unmeasured variables. In A.S. Goldberger and O.D. Duncan (Eds.). Structural equation Models in the Social Sciences, 69-83. Academic Press, New York.
  69. Wright, S., 1921. Correlation and causation. Journal of Agricultural Research 20, 557- 585.
  70. Wright, S., 1934. The method of path coefficients. Annals of Mathematical Studies 5, 161-215.
  71. Yuan, K.-H., and P.M. Bentler, 1997. Mean and covariance structure analysis: Theoretical and practical improvements. Journal of the American Statistical Association 92, 767-77.

Cited by

Sorted by citations

Authors
Golob, T. F.
Affiliations
University of California, Irvine (US)
Corresponding author
Golob, Thomas F
Venue
Transportation Research Part B: Methodological
Publisher
Elsevier BV
Published
2003-01
Volume
37
Issue
1
Pages
1-25
ISSN
0191-2615 (ISSN-L)
OpenAlex
W2105828903
Cited by
1,043
References
9
Citations by year
2026: 35 · 2025: 55 · 2024: 53 · 2023: 72 · 2022: 66 · 2021: 76 · 2020: 67 · 2019: 55 · 2018: 66 · 2017: 52 · 2016: 60 · 2015: 49 · 2014: 50 · 2013: 49 · 2012: 40
FWCI
42.13
Type
journal article
Language
en
Open access
Locations
  • Transportation Research Part B Methodological (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
  • University of California Transportation Center
Topics
  • Social Sciences › Transportation › Transportation Planning and Optimization
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Environmental Valuation
Keywords
structural equation modeling, travel behavior, multivariate statistical modeling, travel demand modeling

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review