Trip Generation Models Using Cumulative Logistic Regression
Publication: Journal of Urban Planning and Development
Volume 139, Issue 3
Abstract
This paper evaluates the usefulness of the cumulative logistic regression model for estimating trip generation. The cumulative logistic regression model is a type of discrete choice model that estimates relationships between an ordered dependent variable, for example, person trip generation, and a set of independent variables, for example, household size, income, and workers. In addition to testing the model form, life cycle, area type, and accessibility variables are evaluated along with a set of widely used explanatory variables. A secondary focus of this paper is on the issue of temporal stability. Temporal stability is concerned with how models developed during one period of time transfer to a future period. The evaluation includes models based on widely used explanatory variables in addition to models supplemented with life cycle, area type, and accessibility variables to evaluate whether these variables result in improved stability. Analysis includes models estimated using 1995 survey data, applied using 2006 socioeconomic data, and evaluated against 2006 observed data. The results of this analysis show that cumulative logistic regression models are good candidate models for estimating trip generation and for improving the temporal stability of the model results. With respect to life cycle, area type, and accessibility, this research shows that there is benefit in including these variables to help explain trip making and to improve temporal stability.
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References
Acock, A. C. (2006). A gentle introduction to stata, Stata Press, College Station, TX.
Agyemang-Duah, K., and Hall, F. L. (1997). “Spatial transferability of an ordered response model of trip generation.” Transport. Res. Pol. Pract., 31(5), 389–402.
Ashford, N., and Holloway, F. (1972). “Time stability of zonal trip production models.” Transp. Eng. J., 98(4), 799–806.
Ben-Akiva, M. E., and Lerman, S. (1985). Discrete choice analysis: Theory and application to travel demand, MIT Press, Cambridge, MA.
Cotrus, A. V., Prashker, J. N., and Shiftan, Y. (2005). “Spatial and temporal transferability of trip generation demand models in Israel.” J. Transp. Stat., 8(1), 37–56.
Doubleday, C. (1977). “Some studies of the temporal stability of person trip generation models.” Transp. Res., 11(4), 255–264.
Eluru, N., Bhat, C. R., and Hensher, D. A. (2008). “A mixed generalized ordered response model for examining pedestrian and bicyclist injury severity level in traffic crashes.” Accid. Anal. Prev., 40(3), 1033–1054.
Federal Highway Administration. (1975). Trip generation analysis, U.S. Dept. of Transportation, Washington, DC.
Ferdous, N., Eluru, N., Bhat, C. R., and Meloni, I. (2010). “A multivariate ordered response model system for adults’ weekday activity episode generation by activity purpose and social context.” Transp. Res. Part B: Methodological, 44(8–9), 922–943.
Huntsinger, L., and Rouphail, N. (2011). Temporal stability of generation choice models, North Carolina State Univ., Raleigh, NC.
Kannel, E. J., and Heathington, K. W. (1973). “Temporal stability of trip generation relations.” Highway Res. Rec., 472, 17–27.
Koppelman, F. S., and Wilmot, C. G. (1982). “Transferability analysis of disaggregate choice models.”, Transportation Research Board, Washington, DC.
NuStats. (1995). “1994/1995 triangle travel behavior survey.” Austin, TX.
NuStats. (2006). “Greater triangle travel study: Household travel survey final report.” Austin, TX.
Parsons Brinckerhoff. (2007). Triangle regional model 2006 documentation, Triangle Regional Model Service Bureau, Raleigh, NC.
Schiffer, R., and Rossi, T. (2008). “New calibration and validation standards for travel demand modeling.” TRB Conf. Proc., Transportation Research Board, Washington, DC.
Seraj, S., Sidharthan, R., Bhat, C. R., Pendyala, R. M., and Goulias, K. G. (2012). “Parental attitudes towards children walking and bicycling to school.” Transp. Res. Rec., 2323, 46–55.
Smith, R. L., and Cleveland, D. E. (1976). “Time stability analysis of trip generation and predistribution modal-choice models.” Transp. Res. Rec., 569, 76–86.
Stata Statistical Software Release 10, version 10.1 for Windows [Computer software]. StataCorp, College Station, TX.
Wootton, H. J., and Pick, G. W. (1967). “A model for trips generated by households.” J. Transp. Econ. Policy, 1(2), 137–153.
Yunker, K. R. (1976). “Tests of the temporal stability of travel simulation models in Southeastern Wisconsin.” Transp. Res. Rec., 610, 1–5.
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© 2013 American Society of Civil Engineers.
History
Received: Mar 27, 2012
Accepted: Mar 7, 2013
Published online: Mar 9, 2013
Discussion open until: Aug 9, 2013
Published in print: Sep 1, 2013
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