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Research article
First published January 2000

VMT-Mix Modeling for Mobile Source Emissions Forecasting: Formulation and Empirical Application

Chandra R. Bhat and Harikesh S. NairView all authors and affiliations
Volume 1738, Issue 1
https://doi.org/10.3141/1738-05

Abstract

A fractional split model is proposed and implemented that predicts the vehicle miles traveled (VMT) mix on links as a function of the functional roadway classification of the link, the physical attributes of the link, the operating conditions on the link, and the attributes of the traffic analysis zone in which the link lies. The fractional split model is a useful formulation for VMT-mix analysis because it accommodates boundary values of fractional VMT in a vehicle class, is easy to estimate using commonly available econometric software, and is easy to apply in forecasting mode to predict the VMT mix on each link of a network. The empirical analysis applies the fraction split model structure to estimate a VMT-mix model for the Dallas–Fort Worth metropolitan region in Texas. The results of model evaluation also are presented.

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References

1. Chatterjee A., Miller T. L., Philpot J. W., Wholley T. F. Jr., Guensler R., Hartgen D., Margiotta R. A., and Stopher P. R. NCHRP Report 394: Improving Transportation Data for Mobile Source Emission Estimates. TRB, National Research Council, Washington, D.C., 1997.
Google Scholar
2. National Cooperative Highway Research Program Research Results Digest No. 223: Development of an Improved Framework for the Analysis of Air Quality and Other Benefits and Costs of Transportation Control Measures, TRB, National Research Council, Washington, D.C., March 1998.
Google Scholar
3. Bhat C. R., and Misra R. Discretionary Activity Time Allocation of Individuals Between In-Home and Out-of-Home and Between Weekdays and Weekends. Transportation, Vol. 26, No. 2, 1999, pp. 193–209.
Crossref
Google Scholar
4. Papke L. E., and Wooldridge J. M. Econometric Methods for Fractional Response Variables with an Application to 401 (k) Plan Participation Rates. Journal of Applied Econometrics, Vol. 11, 1996, pp. 619–632.
Crossref
Google Scholar
5. Maddala G. S. Limited Dependent and Qualitative Variables in Econometrics. Cambridge University Press, Cambridge, Mass., 1983.
Crossref
Google Scholar
6. Bhat C. R. Modeling the Commute Activity–Travel Pattern of Workers: Formulation and Empirical Analysis. Transportation Science, in press.
Google Scholar
7. Gourieroux C., Monfort A., and Trognon A. Pseudo Maximum Likelihood Methods: Theory. Econometrica, Vol. 52, 1984, pp. 681–700.
Crossref
Google Scholar
8. Wooldridge J. M. Specification Testing and Quasi-Maximum Likelihood Estimation. Journal of Econometrics, Vol. 48, 1991, pp. 29–55.
Crossref
Google Scholar
9. Ben-Akiva M., and Lerman S. R. Discrete Choice Analysis. MIT Press, Cambridge, Mass., 1985.
Google Scholar
10. Davis S. C. Transportation Energy Data Handbook, 17th ed. Prepared by the Oak Ridge National Laboratory, Oak Ridge, Tenn., for the Office of Transportation Technologies, U.S. Department of Energy, 1997.
Google Scholar

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Published In

Volume 1738, Issue 1
Pages: 39 - 48
Article first published: January 2000
Issue published: January 2000

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© 2000 National Academy of Sciences.
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Authors

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Chandra R. Bhat
Department of Civil Engineering, University of Texas at Austin, ECJ 6.806, Austin, TX 78712
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Harikesh S. Nair
Department of Civil Engineering, University of Texas at Austin, ECJ 6.806, Austin, TX 78712
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