An econometric multi-dimensional choice model of activity-travel behavior

REFERENCES

• Arentze, T.A., and H.J.P. Timmermans. (2005) Albatross Version 2: A Learning-Based Transportation Oriented Simulation System. European Institute of Retailing and Services Studies, Eindhoven, The Netherlands.
   Google Scholar
• Ben-Akiva, M., and Lerman, S. R. (1985) Discrete Choice Analysis: Theory and Application to Travel Demand, Cambridge, Massachusetts: MIT Press.
   Google Scholar
• Bhat, C.R. (2005) A Multiple Discrete-Continuous Extreme Value Model: Formulation and Application to Discretionary Time-Use Decisions. Transportation Research Part B, 39(8), 679–707.
   Google Scholar
• Bhat, C.R. (2008) The multiple discrete-continuous extreme value (MDCEV) model: role of utility function param-eters, identification considerations, and model exten-sions. Transportation Research Part B, 42(3), 274–303.
   Google Scholar
• Bhat, C.R., and F.S. Koppelman (1999) A retrospective and prospective survey of time-use research. Transportation 26(2), 119–139.
   Web of Science ®Google Scholar
• Bhat, C.R., S. Sen, and N. Eluru (2009) The Impact of Demographics, Built Environment Attributes, Vehicle Characteristics, and Gasoline Prices on Household Vehicle Holdings and Use. Transportation Research Part B, 43(1), 1–18.
   Google Scholar
• Bhat, C.R., S. Srinivasan, and S. Sen (2006) A Joint Model for the Perfect and Imperfect Substitute Goods Case: Application to Activity Time-Use Decisions. Transportation Research Part B, Vol. 40, No. 10, 827–850.
   Google Scholar
• Bierlaire, M., D. Bolduc, and D. McFadden (2008) The Estimation of Generalized Extreme Value Models from Choice-based Samples. Transportation Research Part B, 42(4), 381–394.
   Google Scholar
• Bowman, J. (1995) Activity Based Disaggregate Travel Demand Model System with Daily Activity Schedules. MS Thesis in Transportation, Massachusetts Institute of Technology.
   Google Scholar
• Bowman, J.L., and M. A. Bradley (2006) Upward Integration of Hierarchical Activity-based Models. Working paper. http://www.jbowman.net/papers/20060117%20Bowman%20and%20Bradley.pdf
   Google Scholar
• Guo, J.Y., and C.R. Bhat (2004) Modifiable areal units: prob-lem or perception in modeling of residential location choice? Transportation Research Record 1898, 138–147.
   Web of Science ®Google Scholar
• Jara-Diaz, S.R., M. Munizaga, P. Greeven, and R. Guerra (2007) The unified expanded goods-activities-travel model: theory and results. Paper presented at the 11th World Conference on Transport Research, Berkeley, June 24–28.
   Google Scholar
• McFadden, D. (1978) Modelling the choice of residential location. In A. Karlquist (ed.) Spatial Interaction Theory and Residential Location, North-Holland, Amsterdam, pp. 75–96.
   Google Scholar
• Meloni, I., L. Guala, and A. Loddo (2004) Time allocation to discretionary in home, out of home activities and to trips. Transportation, 31(1), 69–96.
   Web of Science ®Google Scholar
• Miller, E.J. and M.J. Roorda (2003) A prototype model of activity scheduling. Transportation Research Record 1831, 114–121.
   Web of Science ®Google Scholar
• PB Consult (2005) The MORPC Travel Demand Model: Validation and Final Report. The Mid-Ohio Regional Planning Commission, Columbus, Ohio.
   Google Scholar
• Pinjari, A.R., and C.R. Bhat (2009) An Efficient Forecasting Procedure for Kuhn-Tucker Consumer Demand Model Systems: Application to Residential Energy Consumption Analysis. Technical paper, Department of Civil & Environmental Engineering, University of South Florida.
   Google Scholar
• Pinjari, A.R., and C.R. Bhat (2010) A Multiple Discrete-Continuous Nested Extreme Value (MDCNEV) Model: Formulation and Application to Non-Worker Activity Time-Use and Timing Behavior on Weekdays. Transportation Research Part B, 44(4), 562–583.
   Google Scholar
• Pinjari, A.R., C.R. Bhat, and D.A. Hensher (2009) Residential Self-Selection Effects in an Activity Time-use Behavior Model. Transportation Research Part B, 43(7), pp. 729–748.
   Google Scholar