An agent-based modeling system for travel demand simulation for hurricane evacuation

Transportation Research Part C: Emerging Technologies

Volumn 42, Issue , 2014, Pages 44-59

  Yin, Weihao ^a   Murray Tuite, Pamela ^a   Ukkusuri, Satish V ^b   Gladwin, Hugh ^c  

^a Virginia Polytechnic Institute and State University   (United States)

^b PURDUE UNIVERSITY   (United States)

^c FLORIDA INTERNATIONAL UNIVERSITY   (United States)

Author keywords

Agent based simulation; Hurricane evacuation; Travel demand

Indexed keywords

AUTONOMOUS AGENTS; COMPUTATIONAL METHODS; DECISION MAKING; HURRICANES; SIMULATION PLATFORM; TRAFFIC CONTROL;

ACTIVITY-TRAVEL PATTERNS; AGENT BASED SIMULATION; DECISION-MAKING BEHAVIORS; DEPARTURE TIME CHOICE; HOUSEHOLD ACTIVITIES; HURRICANE EVACUATION; TRAVEL DEMAND; TRAVEL DEMAND MODELING;

MOTOR TRANSPORTATION;

COMPUTER SIMULATION; DECISION MAKING; HURRICANE; NUMERICAL MODEL; PLANNING SYSTEM; TRAVEL DEMAND;

FLORIDA [UNITED STATES]; MIAMI-DADE COUNTY; UNITED STATES;

EID: 84897874093     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2014.02.015     Document Type: Article

References (46)

1. Austin P.C. Generating survival times to simulate Cox proportional hazards models with time-varying covariates. Stat. Med. 2012, 31(29):3946-3958.
2. Baker E.J. Hurricane evacuation behavior. Int. J. Mass Emerg. Disast. 1991, 9(2):287-310.
3. Balmer M., Axhausen K., Nagel K. Agent-based demand-modeling framework for large-scale microsimulations. Transp. Res. Rec. 2006, 1985:125-134.
4. Balmer M., Rieser M., Meister K., Charypar D., Lefebvre N., Nagel K. MATSIM-T: architecture and simulation times. Multi-Agent Systems for Traffic and Transportation Engineering 2009, 57-78. Information Science Reference, Hershey, NY. A. Bazzan, F. Klügl (Eds.).
5. Bender R., Augustin T., Blettner M. Generating survival times to simulate Cox proportional hazards models. Stat. Med. 2005, 24:1713-1723.
6. Bhat, C., Misra, R., 2001. A comprehensive and operational econo-metric modeling framework for analysis of the activity-travel patterns of nonworkers. In: The 9th World Conference on Transport Research, Seoul, Korea.
7. Bhat C., Singh S. A comprehensive daily activity-travel generation model system for workers. Transp. Res. Part A: Policy Pract. 2000, 34(1):1-22.
8. Bhat C., Srinivasan S., Guo J. Activity Based Travel Demand Modeling for Metropolitan Areas in Texas 2001, Center for Transportation Research, The University of Texas at Austin, Austin, TX.
9. Bhat C., Srinivasan S., Guo J. Activity-Based Travel Demand Modeling for Metropolitan Areas in Texas: Data Sources, Sample Formation, and Estimation Results 2002, University of Texas at Austin, Austin, TX.
10. Bhat C., Guo J., Srinivasan S., Sivakumar A. Comprehensive econometric microsimulator for daily activity-travel patterns. Transp. Res. Rec. 2004, 1894:57-66.
11. Chen X., Meaker J., Zhan B. Agent-based modeling and analysis of hurricane evacuation procedures for the Florida keys. Nat. Hazards 2006, 38:321-338.
12. Chiu Y.-C., Zhou L., Song H. Development and calibration of the Anisotropic Mesoscopic Simulation model for uninterrupted flow facilities. Transp. Res. Part B: Methodol. 2010, 44(1):152-174.
13. Gladwin C., Gladwin H., Peacock W. Modeling hurricane evacuation decisions with ethnographic methods. Int. J. Mass Emerg. Disast. 2001, 19(2):117-143.
14. Greene W. Econometric Analysis 2012, Prentice Hall, Upper Saddle River, New Jersey.
15. Handford D., Rogers A. Modelling driver interdependent behaviour in agent-based traffic simulations for disaster management. Advances on Practical Applications of Agents and Multiagent Systems 2011, 163-172. Springer, Berlin/Heidelberg. Y. Demazeau, M. Pechoucek, J. Corchado, J. Pérez (Eds.).
16. Hasan S., Ukkusuri S., Gladwin H., Murray-Tuite P. Behavioral model to understand household-level hurricane evacuation decision making. J Transp. Eng. 2011, 137(5):341-348.
17. Hasan S., Mesa-Arango R., Ukkusuri S. A random-parameter hazard-based model to understand household evacuation timing behavior. Transp. Res. Part C: Emerg. Technol. 2013, 27:108-116.
18. Lämmel G., Grether D., Nagel K. The representation and implementation of time-dependent inundation in large-scale microscopic evacuation simulations. Transp. Res. Part C: Emerg. Technol. 2010, 18(1):84-98.
19. Ley H. TRANSIMS Training Course at TRACC 2009, Argonne National Laboratory, Chicago, IL.
20. Lindell M., Kang J., Prater C. The logistics of household hurricane evacuation. Nat. Hazards 2011, 58:1093-1109.
21. Liu Y., Okada N., Takeuchi Y. Dynamic route decision model-based multi-agent evacuation simulation - case study of Nagata Ward, Kobe. J. Nat. Disaster Sci. 2008, 28:91-98.
22. Liu S., Murray-Tuite P., Schweitzer L. Incorporating household gathering and mode decisions in large-scale no-notice evacuation modeling. Comput. Aided Civil Infrastruct. Eng. 2014, 29(2):107-122.
23. Mesa-Arango R., Hasan S., Ukkusuri S., Murray-Tuite P. Household level models for hurricane evacuation destination choice using hurricane Ivan data. Nat. Hazard. Rev. 2013, 14(1):11-20.
24. Montz, T., Zhang, Z., 2013. Calibration and validation of a regional-level traffic model for hurricane evacuation. In: The 92nd Annual Meeting of the Transportation Research Board. Transportation Research Board, Washington DC.
25. Montz, T., Dixit, V., Wolshon, B., 2011. Best of both worlds: combining demand and simulation models for hurricane evacuation. In: The 90th Annual Meeting of the Transportation Research Board. Transportation Research Board, Washington, DC.
26. Murray-Tuite P., Mahamassani H. Transportation network evacuation planning with household activity interactions. Transp. Res. Rec. 2004, 1894:150-159.
27. Murray-Tuite P., Mahmassani H. Model of household trip-chain sequencing in emergency evacuation. Transp. Res. Rec. 2003, 1831:21-29.
28. Murray-Tuite P., Wolshon B. Evacuation transportation modeling: an overview of research, development, and practice. Transp. Res. Part C: Emerg. Technol. 2013, 27:25-45.
29. Noltenius M. Capturing Pre-Evacuation Trips and Associative Delays: A Case Study of the Evacuation of Key West, Florida for Hurricane Wilma 2008, Department of Geography, The University of Tennessee, Knoxville, TN.
30. North M., Macal C. Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation 2007, Oxford University Press, New York, NY.
31. Pel A., Bliemer M., Hoogendoorn S. A review on travel behaviour modelling in dynamic traffic simulation models for evacuations. Transportation 2012, 39(1):97-123.
32. Pendyala R.M., Ye X. Contributions to understanding joint relationships among activity and travel variables. Progress in Activity-Based Analysis 2005, 1-24. Pergamon, Oxford, UK. H. Timmermans (Ed.).
33. PTV, 2011. VISSIM 5.30-04 User Manual, Karlsruhe, Germany.
34. Rabe-Hesketh, S., Skrondal, A., 2012. Multilevel and Longitudinal Modeling Using Stata, vol. II: Categorical Responses, Counts and Survival. Stata Press, College Station, TX.
35. Sadri A.M., Ukkusuri S.V., Murray-Tuite P., Gladwin H. How to evacuate: a model to understand the routing strategies during hurricane evacuation. J. Transp. Eng. 2014, 140(1):61-69.
36. Santos G., Aguirre B. A Critical Review of Emergency Evacuation Simulation Models 2004, Disaster Research Center, University of Delaware.
37. Sorensen, J., Vogt, B., 2006. Interactive Emergency Evacuation Guidebook, Chemical Stockpile Emergency Preparedness Program, Oak Ridge, TN.
38. Train K. Discrete Choice Methods with Simulation 2002, Cambridge University Press, New York, NY.
39. Urbina E., Wolshon B. National review of hurricane evacuation plans and policies: a comparison and contrast of state practices. Transp. Res. Part A: Pol. Pract. 2003, 37(3):257-275.
40. Wolshon B., Lefante J., Naghawi H., Montz T., Dixit V., Renne J., Haughey P., Dufour W. Application of TRANSIMS for the Multimodal Microscale Simulation of the New Orleans Emergency Evacuation Plan 2009, Louisiana State University, Baton Rouge, LA.
41. Wu H.-C., Lindell M., Prater C. Logistics of hurricane evacuation in Hurricanes Katrina and Rita. Transp. Res. Part F: Traff. Psychol. Behav. 2012, 15(4):445-461.
42. Yin, W., Murray-Tuite, P., Ukkusuri, S., 2012. Panel regression models to understand the changes in evacuate/stay decisions between hurricanes Ivan and Katrina. In: The 2nd International Conference on Evacuation Modeling, Evanston, IL.
43. Yin W., Murray-Tuite P., Ukkusuri S., Gladwin H. A Statistical Analysis of the Number of Household Vehicles Used for Hurricane Ivan Evacuation 2013, Virginia Tech, Falls Church, VA.
44. Yin W., Murray-Tuite P., Ukkusuri S., Gladwin H. Pre-Evacuation Activities for Hurricane Evacuation: An Analysis of Behavioral Intentions from Miami Beach, Florida 2013, Virginia Tech, Falls Churh, VA.
45. Zeigler D.J., Brunn S.D., Johnson J.H. Evacuation from a nuclear technological disaster. Geogr. Rev. 1981, 71(1):1-16.
46. Zhang B., Chan W., Ukkusuri S. Agent-based modeling for household level hurricane evacuation. 2009 Winter Simulation Conference 2009, 2778-2784. IEEE, Austin, TX. M.D. Rossetti, R.R. Hill, B. Johansson, A. Dunkin, R.G. Ingalls (Eds.).