1. Sumia, L. and Ranga, V., “Intelligent traffic management
system for prioritizing emergency vehicles in a smart city”,
International Journal of Engineering, Transactions B:
Applications, Vol. 31, No. 2, (2018), 278-283.
2. Ghasemi, J. and Rasekhi, J., “Traffic Signal Prediction
Using Elman Neural Network and Particle Swarm
Optimization”, International Journal of Engineering,
Transactions B: Applications, Vol. 29, No. 11, (2016) ,15581564.
3. Johnston, R., “The urban transportation planning process”,
In The Geography of Urban Transportation, Edited
by: Hanson, S. and Guiliano, New York, NY: Guilford,
(2004), 115–140.
4. Morehous, T. A., “The 1962 Highway Act: a study in artful
interpretation”, Journal of the American Institute of Planners,
Vol. 35, (1969), 160-168.
5. Boyce D., “Is the sequential travel forecasting paradigm
counterproductive?”, Journal of Urban Planning and
Development, Vol. 128, (2002), 169-183.
6. Y. Gu, “Integrating a regional planning model (TRANSIMS) with
an operational model (CORSIM)”, Virginia Tech, (2004).
7. Elmorssy M. and Tezcan H. O., “Application of Discrete 3-level
Nested Logit Model in Travel Demand Forecasting as an
Alternative to Traditional 4-Step Model”, International Journal
of Engineering (IJE), Transactions A: Basics, Vol. 32, No. 10,
1416-1428.
8. Ortuzar, J.D. and Willumsen, L.G., “Modelling Transport”, John
Wiley & Sons, Inc., New York, (2011).
9. Bhat, C.R., “An analysis of travel mode and departure time choice
for urban shopping trips”, Transportation Research B, Vol. 32,
NO. 6, (1998), 361–371.
10. Hassan, M.N., Najmi, A. and Rashidi, T.H., “Recreational
Destination Choice Modelling Incorporating Fuzzy Logic in
Discrete Choice Modeling”, Presented at the 96th Meeting of the
Transportation Research Board Annual Meeting, Washington
DC. 2017.
11. McNally, M. G., “The Four Step Model”, In: Handbook of
Transport Modelling, ed. David A. Hensher and Kenneth J.
Button, (2000), 35-52.
12. Oppenheim, N., “Urban travel demand modeling: from individual
choices to general equilibrium”, John Wiley and Sons, (1995).
13. Vuchic, V. R., “Urban Transit: Operations, Planning, and
Economics”, New York, United States, John Wiley & Sons Inc.
(2005).
14. Pozsgay, M.A. and Bhat, C.R., “Destination Choice Modeling for
Home-Based Recreational Trips Analysis and Implications for
Land Use, Transportation, and Air Quality Planning”,
Transportation Research Record: Journal of the
Transportation Research Board, Vol. 1777, No. 01-2953,
(2001), 1-9.
15. Bhat, C., Govindarajan, A. and Pulugurta, V., “Disaggregate
Attraction-End Choice Modeling”, Transportation Research
Record: Journal of the Transportation Research Board, Vol.
1645, (1998), 60–68.
16. Miller, E., and O’Kelly, M., “Estimating Shopping Destination
Choice Models from Travel Diary Data”, Professional
Geographer, Vol. 35, No. 4, (1983), 440–449.
17. Seddighi, H.R. and Theocharous, A.L., “A Model of Tourism
Destination Choice: A Theoretical and Empirical Analysis”,
Tourism Management, Vol. 23, (2002), 475–487.
18. Shaw, W.D. and Ozog, M.T., “Modeling Overnight Recreation
Trip Choice: Application of a Repeated Nested Multinomial Logit
Model”, Environmental and Resource Economics, Vol. 13,
(1999), 397–414.
19. Eymann, A. and Ronning, G., “Microeconometric Models of
Tourists' Destination Choice”, Regional Science and Urban
Economics, Vol. 27, (1997),735-761.
20. Lewis, C., Pomering, A. and Kerr, G., “Destination Choice by
Young Australian Travellers: A Theoretical Explanation to a
Practitioner Problem”, In Proceedings of the 20th Annual
Conference of the Council for Australian University Tourism and
Hospitality Education, (2010).
21. Yeh, C., Sohngen, B. and Habb, T., “Single Versus Multiple
Objective Recreation Trips: A Split-Sample Multi-Site Analysis”,
In AAEA-CAES Annual Meeting Aug. 5-8, Chicago, (2001).
22. Bates, J., Polak, J., Jones, P. and Cook, A., “The Valuation of
Reliability for Personal Travel”, Transportation Research E,
Vol. 37, (2001), 191–229.
23. Elmorssy M. and Tezcan H.,O., “Examining potential correlation
among departure time, destination and transportation mode for
discretionary trips: a case study of shopping and entertainment
trips”, In Proceedings of the 98th Transportation Research Board
Annual Meeting, Washington, DC; (2019).
24. Bhat, C.R., “A Multiple Discrete-Continuous Extreme Value
Model: Formulation and Application to Discretionary Time-Use
Decisions”, Transportation Research B, Vol. 39, No. 8, (2005),
679-707.
25. Bhat, C.R., “The Multiple Discrete-Continuous Extreme Value
(MDCEV) Model: Role of Utility Function Parameters,
Identification Considerations, and Model Extensions”,
Transportation Research B, Vol. 42, No. 3, (2008), 274-303.
26. Pinjari, A.R. and Bhat, C.R., “A Multiple Discrete-Continuous
Nested Extreme Value (MDCNEV) Model: Formulation and
Application to Discretionary Activity Time-Use and Timing
Behavior on Weekdays”, Transportation Research B, Vol. 44,
No. 4, (2010), 562-583.
27. Yagi, S. and Mohammadian, A., “An Activity-Based
Microsimulation Model of Travel Demand in the Jakarta
Metropolitan Area”, Journal of Choice Modelling, Vol. 3, No. 1, (2010), 32-57.
28. Hensher, D., A., Rose, and J. M., Green W. H., “Applied Choice
Analysis: A Primer”, Cambridge: Cambridge University Press, 2005.
29. Bowman, J.L. and Ben-Akiva, M.E., “Activity-Based
Disaggregate Travel Demand Model System with Activity
Schedules”, Transportation Research A, Vol. 2, No. 1, (2001), 128.
30. Cascetta, E., “Transportation System Analysis: Models and
Applications”, Springer, SBN 978-0-387-75857-2, (2009).
31. Chieh-Hua W. and Koppelman, F.S., “The Generalized Nested
Logit Model. Transportation Research, Vol. 35, (2001), 627641.
32. Hensher, D.A., “HEV choice models as a search engine for
specification of nested logit tree structures”, Marketing Letters,
Vol. 10, No. 4, (1999), 333–334.
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