Sequential logit dynamic travel demand model for hurricane evacuation

Transportation Research Record

Volumn , Issue 1882, 2004, Pages 19-26

  Fu, Haoqiang ^a   Wilmot, Chester G ^a  

^a LOUISIANA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER PERIPHERAL EQUIPMENT; DATA ACQUISITION; ELECTRIC NETWORK ANALYSIS; HOUSING; HURRICANE EFFECTS; MATHEMATICAL MODELS; REGIONAL PLANNING; TRANSPORTATION; VEHICLES;

DYNAMIC TRAFFIC ASSIGNMENT (DTA); HURRICANE EVACUATION; TRAFFIC FLOW; TRAVEL BEHAVIOR;

TRAFFIC SURVEYS;

EID: 14044260550     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1882-03     Document Type: Conference Paper

References (23)

1. Friesz, T., J. Luque, R. Tobin, and B. Wie. Dynamic Network Traffic Assignment Considered as a Continuous Time Optimal Control Problem. Operations Research, Vol. 34, 1989, pp. 839-901.
2. Mahmassani, H., S. Peeta, T. Hu, and A. Ziliaskopoulos. Algorithm for Dynamic Guidance in Congested Networks with Multiple User Information Availability Groups. Proc., 26th International Symposium on Automotive Technology and Automation, Aachen, Germany, 1993, pp. 273-280.
3. Janson, B. Dynamic Traffic Assignment for Urban Road Networks. Transportation Research, Vol. 25B, No. 2/3, 1991, pp. 143-161.
4. Ran, B., and D. Boyce. Modeling Dynamic Transportation Networks: An Intelligent Transportation System Oriented Approach, 2nd ed. Springer, New York, 1996.
5. Ziliaskopoulos, A., and S. Peeta. Foundations of Dynamic Traffic Assignment: Past, Present and Future. Presented at 81st Annual Meeting of the Transportation Research Board, Washington, D.C., 2002.
6. Sheffi, Y. Urban Transportation Networks: Equilibrium Analysis with Mathematical Programming Methods. Prentice-Hall, Englewood Cliffs, N.J., 1985.
7. Mei, B. Development of Trip Generation Models of Hurricane Evacuation, M.A. thesis. Louisiana State University, Baton Rouge, 2002.
8. Irwin, M., and J. Hurlbert. A Behavioral Analysis of Hurricane Preparedness and Evacuation in Southwestern Louisiana. Louisiana Population Data Center, Louisiana State University, Baton Rouge, Sept. 1995.
9. Regional Development Service, Department of Sociology, and Department of Economics. Executive Summary. In Socioeconomic Hurricane Impact Analysis and a Hurricane Evacuation Impact Assessment Tool (Methodology) for Coastal North Carolina: A Case Study of Hurricane Bannie, East Carolina University, Greenville, N.C., July 1999.
10. Johnson, J., and D. Zeigler. Modeling Evacuation Behavior During the Three Mile Island Reactor Crisis. Socio-Economie Planning Sciences, Vol. 20, No. 3, 1986, pp. 165-171.
11. Leik, R., T. Carter, and J. Clark. Community Response to Natural Hazard Warnings. University of Minnesota, Minneapolis, 1981.
12. Lewis, D. Transportation Planning for Hurricane Evacuations. ITE Journal, Vol. 55, No. 8, Aug. 1985, pp. 31-35.
13. Tweedie, S., J. Rowland, S. Walsh, and R. Rhoten. A Methodology for Estimating Emergency Evacuation Times. The Social Science Journal, Vol. 23, No. 2,1986, pp. 189-204.
14. Alabama Hurricane Evacuation Study Technical Data Report: Behavioral Analysis. Final Report. U.S. Army Corps of Engineers, 2000.
15. Agresti, A. Analysis of Ordinal Categorical Data. John Wiley and Sons, Inc., New York, 1984.
16. Sheffi, Y. Estimating Choice Probabilities Among Nested Alternatives. Transportation Research, Vol. 13B, 1979, pp. 189-205.
17. Amemiya, T. Qualitative Response Models. Annals of Economic and Social Measurement, No. 4, 1975, pp. 363-372.
18. Fahrmeir, L., and G. Tutz. Multivariate Statistical Modeling Based on Generalized Linear Models, 2nd ed. Springer, New York, 2001.
19. Baker, J. Hurricane Evacuation Behavior. International Journal of Mass Emergencies and Disasters, Vol. 9, No. 2, 1991, pp. 287-310.
20. Christensen, E., P. Schlichting, P. Andersen, L. Fauerholdt, G. Schou, B. Pedersen, E. Juhl, and N. Tygstrup. Updating Prognosis and Therapeutic Effect of Evacuation in Cirrhosis with Cox's Multiple Regression Model for Time-Dependent Variables. Scandinavian Journal of Gastroenterology, Vol. 21, 1986, pp. 163-174.
21. Hosmer, D., and S. A. Lemeshow. Goodness-of-Fit Test for the Multiple Logistic Regression Model. Communications in Statistics, Vol. A10, 1980, pp. 1043-1069.
22. Lemeshow, S., and D. Hosmer. The Use of Goodness-of-Fit Statistics in the Development of Logistic Regression Models. American Journal of Epidemiology, Vol. 115, 1982, pp. 92-106.
23. Hosmer, D., and S. Lemeshow. Applied Logistic Regression, 2nd ed., John Wiley and Sons, Inc., New York, 2000.