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

This paper presents an agent-based travel demand model system for hurricane evacuation simulation, which is capable of generating comprehensive household activity-travel plans. The system implements econometric and statistical models that represent travel and decision-making behavior throughout the evacuation process. The system considers six typical evacuation decisions: evacuate/stay, accommodation type choice, evacuation destination choice, mode choice, vehicle usage choice, and departure time choice. It explicitly captures the shadow evacuation population. In addition, the model system captures pre-evacuation preparation activities using an activity-based approach. A demonstration study that predicts activity-travel patterns using model parameters estimated for the Miami-Dade area for a hypothetical category-4 hurricane is discussed. The simulation results clearly indicate the model system produces a distribution of choice patterns that is consistent with sample observations and existing literature. The model system also identifies the proportion of the shadow evacuation population and their geographical extent. About 23% of the population outside the designated evacuation zone would evacuate. The shadow evacuation demand is mainly located within 5 km of the coastline. The output demand of the model system works with agent-based traffic simulation tools and conventional trip-based simulation tools.

[1]  Pamela M. Murray-Tuite,et al.  Transportation Network Evacuation Planning with Household Activity Interactions , 2004 .

[2]  Sophia Rabe-Hesketh,et al.  Multilevel and Longitudinal Modeling Using Stata , 2005 .

[3]  Pamela Murray-Tuite,et al.  Behavioral Model to Understand Household-Level Hurricane Evacuation Decision Making , 2011 .

[4]  Charles M. Macal,et al.  Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation , 2007 .

[5]  Zhao Zhang,et al.  Calibration and Validation of a Regional-Level Traffic Model for Hurricane Evacuation , 2013 .

[6]  Houbing Song,et al.  Development and calibration of the Anisotropic Mesoscopic Simulation model for uninterrupted flow facilities , 2010 .

[7]  Michael K. Lindell,et al.  Logistics of hurricane evacuation in Hurricanes Katrina and Rita , 2012 .

[8]  Satish V. Ukkusuri,et al.  A random-parameter hazard-based model to understand household evacuation timing behavior , 2013 .

[9]  P. Austin.  Generating survival times to simulate Cox proportional hazards models with time-varying covariates , 2012, Statistics in medicine.

[10]  Sophia Rabe-Hesketh,et al.  Multilevel and Longitudinal Modeling Using Stata, Volumes I and II, Third Edition: Multilevel and Longitudinal Modeling Using Stata, Volume II ... Counts, and Survival, Third Edition , 2012 .

[11]  John Meaker,et al.  Agent-Based Modeling and Analysis of Hurricane Evacuation Procedures for the Florida Keys , 2006 .

[12]  Brian Wolshon,et al.  Application of TRANSIMS for the Multimodal Microscale Simulation of the New Orleans Emergency Evacuation Plan , 2009 .

[13]  Vinayak Dixit,et al.  Best of Both Worlds: Combining Demand and Simulation Models for Hurricane Evacuation , 2011 .

[14]  Pamela Murray-Tuite,et al.  Evacuation transportation modeling: An overview of research, development, and practice , 2013 .

[15]  K. Train.  Discrete Choice Methods with Simulation , 2003 .

[16]  Ram M. Pendyala,et al.  Contributions to Understanding Joint Relationships Among Activity and Travel Variables , 2005 .

[17]  M. Noltenius,et al.  Capturing Pre-evacuation Trips and Associative Delays: A Case Study of the Evacuation of Key West, Florida for Hurricane Wilma , 2008 .

[18]  Serge P. Hoogendoorn,et al.  A review on travel behaviour modelling in dynamic traffic simulation models for evacuations , 2012 .

[19]  Marc L. Levitan,et al.  National Review of Hurricane Evacuation Plans and Policies , 2001 .

[20]  Pamela Murray-Tuite,et al.  How to evacuate: model for understanding the routing strategies during hurricane evacuation , 2014 .

[21]  Ralf Bender,et al.  Generating survival times to simulate Cox proportional hazards models , 2005, Statistics in medicine.

[22]  Wai Kin Chan,et al.  Agent-based modeling for household level hurricane evacuation , 2009, Proceedings of the 2009 Winter Simulation Conference (WSC).

[23]  Pamela Murray-Tuite,et al.  Statistical Analysis of the Number of Household Vehicles Used for Hurricane Ivan Evacuation , 2014 .

[24]  Nicolas Lefebvre,et al.  MATSim-T , 2009, Multi-Agent Systems for Traffic and Transportation Engineering.

[25]  Pamela Murray-Tuite,et al.  Household-level model for hurricane evacuation destination type choice using hurricane Ivan data , 2013 .

[26]  Sirui Liu,et al.  Incorporating Household Gathering and Mode Decisions in Large‐Scale No‐Notice Evacuation Modeling , 2014, Comput. Aided Civ. Infrastructure Eng..

[27]  Michael K. Lindell,et al.  The logistics of household hurricane evacuation , 2011 .

[28]  Norio Okada,et al.  Dynamic Route Decision Model-based Multi-agent Evacuation Simulation - Case Study of Nagata Ward, Kobe , 2008 .

[29]  Alex Rogers,et al.  Modelling Driver Interdependent Behaviour in Agent-Based Traffic Simulations for Disaster Management , 2011, PAAMS.

[30]  Kay W. Axhausen,et al.  Agent-Based Demand-Modeling Framework for Large-Scale Microsimulations , 2006 .

[31]  Chandra R. Bhat,et al.  A comprehensive daily activity-travel generation model system for workers , 2000 .

[32]  Earl J. Baker,et al.  Hurricane Evacuation Behavior , 1991, International Journal of Mass Emergencies & Disasters.

[33]  Chandra R. Bhat,et al.  ACTIVITY-BASED TRAVEL-DEMAND ANALYSIS FOR METROPOLITAN AREAS IN TEXAS: DATA SOURCES, SAMPLE FORMATION, AND ESTIMATION RESULTS , 2002 .

[34]  Benigno E. Aguirre,et al.  A Critical Review Of Emergency Evacuation Simulation Models , 2004 .

[35]  James H. Johnson,et al.  Evacuation from a Nuclear Technological Disaster , 1981 .

[36]  Kai Nagel,et al.  The representation and implementation of time-dependent inundation in large-scale microscopic evacuation simulations , 2010 .

[37]  Chandra R. Bhat,et al.  Comprehensive Econometric Microsimulator for Daily Activity-Travel Patterns , 2004 .

[38]  Pamela Murray-Tuite,et al.  Model of Household Trip-Chain Sequencing in Emergency Evacuation , 2003 .

[39]  Walter Gillis Peacock,et al.  Modeling Hurricane Evacutaion Decisions with Ethnographic Methods , 2001, International Journal of Mass Emergencies & Disasters.