An Episode-Level Joint Model for Activity Engagement, Duration, and Destination Location Choice Decisions

References

• Akar, G., K. J. Clifton, and S. T. Doherty. 2009. “How Travel Attributes Affect Planning Time Horizon of Activities.” Transportation Research Record 2132: 33–41. doi:10.3141/2132-04.
   Google Scholar
• Astroza, S., P. C. Bhat, C. R. Bhat, R. M. Pendyala, and V. M. Garikapati. 2018. “Understanding Activity Engagement across Weekdays and Weekend Days: A Multivariate Multiple discrete-continuous Modeling Approach.” Journal of Choice Modelling 28: 56–70. doi:10.1016/j.jocm.2018.05.004.
   Web of Science ®Google Scholar
• Auld, J., T. Rashidi, M. Javanmardi, and A. Mohammadian. 2011. “Dynamic Activity Generation Model Using Competing Hazard Formulation.” Transportation Research Record: Journal of the Transportation Research Board 2254: 28–35. doi:10.3141/2254-04.
   Web of Science ®Google Scholar
• Bernardo, C., R. Paleti, M. Hoklas, and C. Bhat. 2015. “An Empirical Investigation into the time-use and Activity Patterns of dual-earner Couples with and without Young Children.” Transportation Research Part A: Policy and Practice 76: 71–91. doi:10.1016/j.tra.2014.12.006.
   Web of Science ®Google Scholar
• Bhat, C. R., and R. Gossen. 2004. “A Mixed Multinomial Logit Model Analysis of Weekend Recreational Episode Type Choice.” Transportation Research Part B: Methodological 38: 767–787. doi:10.1016/j.trb.2003.10.003.
   Web of Science ®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: Methodological 39: 679–707. doi:10.1016/j.trb.2004.08.003.
   Web of Science ®Google Scholar
• Bhat, C. R. 2008. “The Multiple discrete-continuous Extreme Value (MDCEV) Model: Role of Utility Function Parameters, Identification Considerations, and Model Extensions.” Transportation Research Part B: Methodological 42: 274–303. doi:10.1016/j.trb.2007.06.002.
   Web of Science ®Google Scholar
• Bhat, C. R., K. G. Goulias, R. M. Pendyala, R. Paleti, R. Sidharthan, L. Schmitt, and H. H. Hu. 2013. “A household-level Activity Pattern Generation Model with an Application for Southern California.” Transportation (Amst) 40: 1063–1086. doi:10.1007/s11116-013-9452-y.
   Web of Science ®Google Scholar
• Bhat, C. R. 2018. “A New Flexible Multiple discrete–continuous Extreme Value (MDCEV) Choice Model.” Transportation Research Part B: Methodological 110: 261–279. doi:10.1016/j.trb.2018.02.011.
   Web of Science ®Google Scholar
• Bhat, C. R., A. Mondal, K. E. Asmussen, and A. C. Bhat. 2020. “A Multiple Discrete Extreme Value Choice Model with Grouped Consumption Data and Unobserved Budgets.” Transportation Research Part B: Methodological 141: 196–222. doi:10.1016/j.trb.2020.09.008.
   Web of Science ®Google Scholar
• Born, K., S. Yasmin, D. You, N. Eluru, C. Bhat, and R. Pendyala. 2014. “Joint Model of Weekend Discretionary Activity Participation and Episode Duration.” Transportation Research Record: Journal of the Transportation Research Board 2413: 34–44. doi:10.3141/2413-04.
   Google Scholar
• Dong, X., M. E. Ben-Akiva, J. L. Bowman, and J. L. Walker. 2006. “Moving from trip-based to activity-based Measures of Accessibility.” Transportation Research Part A: Policy and Practice 40: 163–180. doi:10.1016/j.tra.2005.05.002.
   Web of Science ®Google Scholar
• Eluru, N., A. R. Pinjari, R. M. Pendyala, and C. R. Bhat. 2010. “An Econometric multi-dimensional Choice Model of activity-travel Behavior.” Transportation Letters 2: 217–230. doi:10.3328/TL.2010.02.04.217-230.
   Web of Science ®Google Scholar
• Enam, A., and K. C. Konduri. 2018. “Time Allocation Behavior of Twentieth-Century American Generations: GI Generation, Silent Generation, Baby Boomers, Generation X, and Millennials.” Transportation Research Record: Journal of the Transportation Research Board 2672: 69–80. doi:10.1177/0361198118794710.
   Web of Science ®Google Scholar
• Faghih-Imani, A., and N. Eluru. 2020. “A Finite Mixture Modeling Approach to Examine New York City Bicycle Sharing System (Citibike) Users’ Destination Preferences.” Transportation (Amst) 47: 529–553. doi:10.1007/s11116-018-9896-1.
   Web of Science ®Google Scholar
• Fan, Y., and A. J. Khattak. 2009. “Does Urban Form Matter in Solo and Joint Activity Engagement? Landsc.” Landscape and Urban Planning 92: 199–209. doi:10.1016/j.landurbplan.2009.05.006.
   Web of Science ®Google Scholar
• Garikapati, V. M., D. You, R. M. Pendyala, P. S. Vovsha, V. Livshits, and K. Jeon. 2014. “Multiple discrete-continuous Model of Activity Participation and Time Allocation for home-based Work Tours.” Transportation Research Record: Journal of the Transportation Research Board 2429: 90–98. doi:10.3141/2429-10.
   Google Scholar
• Hasnine, M. S., and K. Nurul Habib. 2021. “Tour-based Mode Choice Modelling as the Core of an activity-based Travel Demand Modelling Framework: A Review of state-of-the-art.” Transport Reviews 41: 5–26. doi:10.1080/01441647.2020.1780648.
   Web of Science ®Google Scholar
• Hassan, M. N., A. Najmi, and T. H. Rashidi. 2019. ”A Two-Stage Recreational Destination Choice Study Incorporating Fuzzy Logic in Discrete Choice Modelling.” Transportation Research Part F: Psychology and Behaviour 67: 123–141. Elsevier Ltd. doi:10.1016/j.trf.2019.10.015.
   Web of Science ®Google Scholar
• Imani, A. F., G. Ghafghazi, N. Eluru, and A. R. Pinjari. 2014. “A multiple-discrete Approach for Examining Vehicle Type Use for Daily Activity Participation Decisions.” Transportation Letters 6: 1–13. doi:10.1179/1942787513Y.0000000001.
   Web of Science ®Google Scholar
• Khan, N. A., and M. A. Habib. 2021. “Modeling activity-based Tour Shared Travel Choices, tour-level Activity Participation and Time Allocation.” Transportmetrica A: Transport Science. doi:10.1080/23249935.2021.1876178.
   Web of Science ®Google Scholar
• Kim, J., and S. Lee. (2017). Comparative Analysis of Traveler Destination Choice Models by Method of Sampling Alternatives. Transportation Planning and Technology, 40(4), 465–478. 10.1080/03081060.2017.1300242
   Web of Science ®Google Scholar
• Kitamura, R., and S. Fujii. 1998. “Two Computational Process Models of Activity-Travel Behavior.” Theoretical Foundations of Travel Choice Modeling 251–279.
   Google Scholar
• Lee, B. H. Y., and P. Waddell. 2010. “Residential Mobility and Location Choice: A Nested Logit Model with Sampling of Alternatives.” Transportation (Amst) 37: 587–601. doi:10.1007/s11116-010-9270-4.
   Web of Science ®Google Scholar
• Leite, G., T. Ma, and V. Van Acker. 2018. “Modeling Discretionary Activity Location Choice Using Detour Factors and Sampling of Alternatives for Mixed Logit Models.” Journal of Transport Geography 72: 151–165. doi:10.1016/j.jtrangeo.2018.09.003.
   Web of Science ®Google Scholar
• Limtanakool, N., M. Dijst, and T. Schwanen. (2006). The Influence of Socioeconomic Characteristics, Land Use and Travel Time Considerations on Mode Choice for Medium- and Longer-Distance Trips. Journal of Transport Geography, 14(5), 327–341. 10.1016/j.jtrangeo.2005.06.004
   Web of Science ®Google Scholar
• Nurul Habib, K. M., and E. J. Miller. 2009. “Modelling Activity Generation: A utility-based Model for activity-agenda Formation.” Transportmetrica 5: 3–23. doi:10.1080/18128600802591384.
   Web of Science ®Google Scholar
• Paleti, R., R. B. Copperman, and C. R. Bhat. 2011. “An Empirical Analysis of Children’s after School out-of-home activity-location Engagement Patterns and Time Allocation.” Transportation (Amst) 38: 273–303. doi:10.1007/s11116-010-9300-2.
   Web of Science ®Google Scholar
• Palma, D., A. Enam, S. Hess, C. Calastri, and R. Crastes Dit Sourd. 2021. “Modelling Multiple Occurrences of Activities during a Day: An Extension of the MDCEV Model.” Transportmetrica B 9: 456–478. doi:10.1080/21680566.2021.1900755.
   Google Scholar
• Rasouli, S., and H. Timmermans. 2014. “Activity-based Models of Travel Demand: Promises, Progress and Prospects.” International Journal of Urban Sciences 18: 31–60. doi:10.1080/12265934.2013.835118.
   Google Scholar
• Ravulaparthy, S. K., K. C. Konduri, and K. G. Goulias. 2016. “Fundamental Linkages between Activity Time Use and Subjective well-being for the Elderly Population: Joint Exploratory Analysis Framework for in-home and out-of-home Activities.” Transportation Research Record: Journal of the Transportation Research Board 2566: 31–40. doi:10.3141/2566-04.
   Google Scholar
• Saxena, S., A. R. Pinjari, and R. Paleti. 2020. “An Ordered Multiple Discrete-Continuous Extreme Value (OMDCEV) Modelling Framework for Episode-level Activity Participation and Time-Use Analysis.” In Transp. Res. Board 100th Annu. Meet. Res. Board.
   Google Scholar
• Scott, D. M., and S. Y. He. 2012. “Modeling Constrained Destination Choice for Shopping : A GIS-based, time-geographic Approach.” Journal of Transport Geography 23: 60–71. doi:10.1016/j.jtrangeo.2012.03.021.
   Web of Science ®Google Scholar
• Sener, I. N., R. M. Pendyala, and C. R. Bhat. 2011. ”Accommodating Spatial Correlation Across Choice Alternatives in Discrete Choice Models : An Application to Modeling Residential Location Choice Behavior.” Journal of Transport Geography 19 (2): 294–303. Elsevier Ltd. doi:10.1016/j.jtrangeo.2010.03.013.
   Web of Science ®Google Scholar
• Smart Trips Okanagan Travel Survey, 2020. 2018 Okanagan Travel Survey Report 3: Analysis of Survey Results and Trends.
   Google Scholar
• Srinivasan, S., and C. R. Bhat. 2005. “Modeling Household Interactions in Daily in-home and out-of-home Maintenance Activity Participation.” Transportation (Amst) 32: 523–544. doi:10.1007/s11116-005-5329-z.
   Web of Science ®Google Scholar