Agent-based simulation for large-scale emergency response: A survey of usage and implementation

When attempting to determine how to respond optimally to a large-scale emergency, the ability to predict the consequences of certain courses of action in silico is of great utility. Agent-based simulations (ABSs) have become the de facto tool for this purpose; however, they may be used and implemented in a variety of ways. This article reviews existing implementations of ABSs for large-scale emergency response, and presents a taxonomy classifying them by usage. Opportunities for improving ABS for large-scale emergency response are identified.

[1]  Greg Madey,et al.  Creating, updating and validating simulations in a dynamic data-driven application system , 2007 .

[2]  R.M. Fujimoto,et al.  Parallel and distributed simulation systems , 2001, Proceeding of the 2001 Winter Simulation Conference (Cat. No.01CH37304).

[3]  Abdel-Badeeh M. Salem,et al.  An agent-based modeling for pandemic influenza in Egypt , 2010, 2010 The 7th International Conference on Informatics and Systems (INFOS).

[4]  Gregory R. Madey,et al.  Searchable taxonomies of agent based modeling toolkits , 2009, SpringSim '09.

[5]  Gregory R. Madey,et al.  Design and Implementation of An Agent-Based Simulation for Emergency Response and Crisis Management , 2009, SpringSim '09.

[6]  J. de Boer,et al.  Definition and classification of disasters: introduction of a disaster severity scale. , 1990, The Journal of emergency medicine.

[7]  Wolf R. Dombrowsky Again and Again: Is a Disaster What We Call a 'Disaster'? , 2005 .

[8]  Jörg P. Müller,et al.  The Right Agent (Architecture) to do the Right Thing , 1998, ATAL.

[9]  Winfried Lamersdorf,et al.  Jadex: A BDI Reasoning Engine , 2005, Multi-Agent Programming.

[10]  Roger Strand,et al.  Can agent-based models assist decisions on large-scale practical problems? A philosophical analysis , 2000, Complex..

[11]  Anthony Skjellum,et al.  Using MPI: portable parallel programming with the message-passing interface, 2nd Edition , 1999, Scientific and engineering computation series.

[12]  J. Lumpkin,et al.  The Effect of Prehospital Transport Time on the Mortality from Traumatic Injury , 1995, Prehospital and Disaster Medicine.

[13]  CoatesGraham,et al.  Agent-based simulation for large-scale emergency response , 2012 .

[14]  H. Simon,et al.  A Behavioral Model of Rational Choice , 1955 .

[15]  A. Boucher,et al.  The AROUND project: Adapting robotic disaster response to developing countries , 2009, 2009 IEEE International Workshop on Safety, Security & Rescue Robotics (SSRR 2009).

[16]  John J. McCarthy,et al.  The Rule Engine for the Java Platform , 2008 .

[17]  Kent Beck,et al.  Extreme Programming Explained: Embrace Change (2nd Edition) , 2004 .

[18]  Mohamed Gad-el-Hak,et al.  The art and science of large-scale disasters , 2009 .

[19]  Mohamed Ben Ahmed,et al.  Assessing large scale emergency rescue plans: an agent based Approach , 2006 .

[20]  Nigel Gilbert,et al.  When Does Social Simulation Need Cognitive Models , 2005 .

[21]  Cristiano Castelfranchi Bye-Bye Agents? Not , 2010, IEEE Internet Computing.

[22]  Richard M. Fujimoto,et al.  Parallel and Distribution Simulation Systems , 1999 .

[23]  E. Lerner,et al.  The Golden Hour : Scientific Fact or Medical ‘ ‘ Urban Legend ’ ’ ? , 2001 .

[24]  James E. Coolahan,et al.  Simulation Verification, Validation, and Accreditation , 2000 .

[25]  M. E. Williams,et al.  TRANSIMS: TRANSPORTATION ANALYSIS AND SIMULATION SYSTEM , 1995 .

[26]  W. O. Kermack,et al.  A contribution to the mathematical theory of epidemics , 1927 .

[27]  G. Brent Hall,et al.  Open Source Approaches in Spatial Data Handling , 2008 .

[28]  Michael J. North,et al.  Tutorial on agent-based modelling and simulation , 2005, Proceedings of the Winter Simulation Conference, 2005..

[29]  Tuncer I. Ören,et al.  Emergence, anticipation and multisimulation: bases for conflict simulation , 2008 .

[30]  T. Takahashi,et al.  Urban flood simulation as a component of integrated earthquake disaster simulation , 2005, IEEE International Safety, Security and Rescue Rototics, Workshop, 2005..

[31]  Giuseppe Narzisi Chapter 1 Complexities , Catastrophes and Cities : Unraveling Emergency Dynamics , 2006 .

[32]  P. Sanders,et al.  DoD Modeling and Simulation (M&S) Verification, Validation, and Accreditation (VV&A), , 1996 .

[33]  Gregory R. Madey,et al.  Verification and Validation of Agent-based Scientific Simulation Models , 2005 .

[34]  Averill M. Law,et al.  Simulation Modeling and Analysis , 1982 .

[35]  Alberto Policriti,et al.  Foundations of a Query and Simulation System for the Modeling of Biochemical and Biological Processes , 2003, Pacific Symposium on Biocomputing.

[36]  Anthony Stentz,et al.  The Focussed D* Algorithm for Real-Time Replanning , 1995, IJCAI.

[37]  Christian Dornhege,et al.  Realistic Cities in Simulated Environments-An Open Street Map to Robocup Rescue Converter , 2009 .

[38]  V. Vapnik Estimation of Dependences Based on Empirical Data , 2006 .

[39]  Kalyanmoy Deb,et al.  Finding Knees in Multi-objective Optimization , 2004, PPSN.

[40]  Gary Klein,et al.  Naturalistic Decision Making , 2008, Hum. Factors.

[41]  Dirk Helbing The FuturICT Knowledge Accelerator: Unleashing the Power of Information for a Sustainable Future , 2010 .

[42]  Alex Skvortsov,et al.  Epidemic Spread Modeling: Alignment of Agent-Based Simulation with a Simple Mathematical Model , 2007, BIOCOMP.

[43]  Jon Parker A flexible, large-scale, distributed agent based epidemic model , 2007, 2007 Winter Simulation Conference.

[44]  Gary Klein Flexecution, Part 2: Understanding and Supporting Flexible Execution , 2007, IEEE Intelligent Systems.

[45]  Wynn C. Stirling Satisficing Games and Decision Making: Locality , 2003 .

[46]  Kathy Sierra,et al.  Head First Design Patterns , 2004 .

[47]  Bo Ren,et al.  Integrated Agent-Based Modeling with GIS for Large Scale Emergency Simulation , 2008, ISICA.

[48]  Gnana Bharathy,et al.  Validating agent based social systems models , 2010, Proceedings of the 2010 Winter Simulation Conference.

[49]  R. Sun Cognition and Multi-Agent Interactions: From Cognitive Modeling to Social Simulation , 2005 .

[50]  Ming C. Lin Simulation Technologies for Evacuation Planning and Disaster , 2010 .

[51]  Arthur C. Graesser,et al.  Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents , 1996, ATAL.

[52]  Andrei Alexandrescu,et al.  Modern C++ design: generic programming and design patterns applied , 2001 .

[53]  Andrew T. Crooks,et al.  Constructing and implementing an agent-based model of residential segregation through vector GIS , 2010, Int. J. Geogr. Inf. Sci..

[54]  David O'Sullivan,et al.  Geographical information science: agent-based models , 2008 .

[55]  Skvortsov,et al.  Epidemic Modelling : Validation of Agent-based Simulation by Using Simple Mathematical Models , 2007 .

[56]  Nils J. Nilsson,et al.  A Formal Basis for the Heuristic Determination of Minimum Cost Paths , 1968, IEEE Trans. Syst. Sci. Cybern..

[57]  Kathleen M. Carley,et al.  Aligning Simulation Models of Smallpox Outbreaks , 2004, ISI.

[58]  Shiyao Jin,et al.  Agent-Based Modeling and Simulation on Emergency Evacuation , 2009, Complex.

[59]  Steven L. Lytinen,et al.  Agent-based Simulation Platforms: Review and Development Recommendations , 2006, Simul..

[60]  Raja Sengupta,et al.  Geospatial Agents, Agents Everywhere . . . , 2007, Trans. GIS.

[61]  Gregory R. Madey,et al.  Dynamic adaptive disaster simulation: developing a predictive model of emergency behavior using cell phone and GIS data , 2011, SpringSim.

[62]  M. D. Dunnette,et al.  An alternative selection procedure: The low-fidelity simulation. , 1990 .

[63]  A. Nanopoulos,et al.  R-trees Have Grown Everywhere , 2003 .

[64]  T W Whitley,et al.  Is ambulance transport time with lights and siren faster than that without? , 1995, Annals of emergency medicine.

[65]  Bud Mishra,et al.  Multi-objective evolutionary optimization of agent-based models: An application to emergency response planning , 2006, Computational Intelligence.

[66]  Joshua M. Epstein,et al.  Growing artificial societies , 1996 .

[67]  Kamalakar Karlapalem,et al.  Database Driven RoboCup Rescue Server , 2008, RoboCup.

[68]  Frederica Darema,et al.  Dynamic Data Driven Applications Systems: A New Paradigm for Application Simulations and Measurements , 2004, International Conference on Computational Science.

[69]  Bart de Boer,et al.  Simulating and Controlling Civilian Crowds in Robocup Rescue , 2005 .

[70]  Kamalakar Karlapalem,et al.  Retrospective analysis of RoboCup rescue simulation agent teams , 2009, AAMAS.

[71]  C. Nieuwenhuis Agent-Based Disaster Simulation Evaluation and its Probability Model Interpretation , 2007 .

[72]  Kathleen M. Carley,et al.  BioWar: scalable agent-based model of bioattacks , 2006, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[73]  László Gulyás,et al.  A Modeler-Friendly API for ABM Partitioning , 2009 .

[74]  Greg Madey,et al.  WIPER: Leveraging the Cell Phone Network for Emergency Response † , 2006 .

[75]  Martin Peterson,et al.  An Introduction to Decision Theory , 2009 .

[76]  John R. Koza,et al.  Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.

[77]  Nalini Venkatasubramanian,et al.  Multi-Agent Simulation of Disaster Response , 2006 .

[78]  Sarvapali D. Ramchurn,et al.  The RoboCup rescue simulation platform , 2010, AAMAS.

[79]  Rafael A. Gonzalez,et al.  A Framework for ICT-Supported Coordination in Crisis Response , 2010 .

[80]  M. Lacher,et al.  Lights and siren in pediatric 911 ambulance transports: are they being misused? , 1997, Annals of emergency medicine.

[81]  Andreas Tolk,et al.  Using GIS vector data to build virtual environments for agent based models , 2008, SpringSim '08.

[82]  Holger Kenn,et al.  Wearable Computing Meets Multiagent Systems : A Real-World Interface for the RoboCupRescue Simulation Platform , 2006 .

[83]  Nicholas R. Jennings,et al.  Intelligent agents: theory and practice , 1995, The Knowledge Engineering Review.

[84]  Kent L. Beck,et al.  Extreme programming explained - embrace change , 1990 .

[85]  Alexis Drogoul,et al.  Interactive Learning of Expert Criteria for Rescue Simulations , 2008, PRIMA.

[86]  Michael Wooldridge,et al.  The Belief-Desire-Intention Model of Agency , 1998, ATAL.

[87]  Dipti Srinivasan,et al.  An Introduction to Multi-Agent Systems , 2010 .

[88]  Eric S. Wolf Using Agent-Based Distillations to Explore Logistics Support to Urban, Humanitarian Assistance/Disaster Relief Operations , 2003 .

[89]  Kathleen M. Carley,et al.  BioWar: A City-Scale Multi-Agent Network Model of Weaponized Biological Attacks , 2004 .

[90]  Vladimir Vapnik,et al.  Estimation of Dependences Based on Empirical Data: Empirical Inference Science (Information Science and Statistics) , 2006 .

[91]  Uta Berger,et al.  Pattern-Oriented Modeling of Agent-Based Complex Systems: Lessons from Ecology , 2005, Science.

[92]  Kun Yang,et al.  Use of GIS and agent-based modeling to simulate the spread of influenza , 2010, 2010 18th International Conference on Geoinformatics.

[93]  Stephen Warshall,et al.  A Theorem on Boolean Matrices , 1962, JACM.

[94]  Eric Bonabeau,et al.  Agent-based modeling: Methods and techniques for simulating human systems , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[95]  Richard E. Korf,et al.  Real-Time Heuristic Search , 1990, Artif. Intell..

[96]  William Rand,et al.  Spatial process and data models: Toward integration of agent-based models and GIS , 2005, J. Geogr. Syst..

[97]  Tomoichi Takahashi,et al.  A Study of Map Data Influence on Disaster and Rescue Simulation's Results , 2009, PRIMA Workshops.

[98]  P. Pons,et al.  Selected Topics : Prehospital Care EIGHT MINUTES OR LESS : DOES THE AMBULANCE RESPONSE TIME GUIDELINE IMPACT TRAUMA PATIENT OUTCOME ? , 2002 .

[99]  Marco Antoniotti,et al.  Multi-agent modeling and analysis of the Brazilian food-poisoning scenario , 2005 .

[100]  At Crooks,et al.  The Repast Simulation/Modelling System for Geospatial Simulation , 2007 .

[101]  椹木 義一,et al.  Theory of multiobjective optimization , 1985 .

[102]  Charles R. McLean,et al.  A framework for modeling and simulation for emergency response , 2003, Proceedings of the 2003 Winter Simulation Conference, 2003..

[103]  Alexander Kleiner,et al.  Approaching Urban Disaster Reality: The ResQ Firesimulator , 2004, RoboCup.

[104]  Alexis Drogoul,et al.  GAMA: An Environment for Implementing and Running Spatially Explicit Multi-agent Simulations , 2009, PRIMA.

[105]  Y. Shoham Introduction to Multi-Agent Systems , 2002 .

[106]  Tekin Meriçli,et al.  RoboAkut 2009 Rescue Simulation League Agent Team Description , 2009 .

[107]  Wynn C. Stirling Satisficing Games and Decision Making: With Applications to Engineering and Computer Science , 2003 .

[108]  C. NIKOLAI ANATOMY OF A TOOLKIT : A COMPREHENSIVE COMPENDIUM OF VARIOUS AGENT-BASED MODELING TOOLKITS ON THE MARKET TODAY , 2007 .

[109]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[110]  Gerhard Wellein,et al.  Introduction to High Performance Computing for Scientists and Engineers , 2010, Chapman and Hall / CRC computational science series.

[111]  Ugur Güdükbay,et al.  Emergency crowd simulation for outdoor environments , 2010, Comput. Graph..

[112]  Gary Klein,et al.  Flexecution as a Paradigm for Replanning, Part 1 , 2007, IEEE Intelligent Systems.

[113]  Abdel-Badeeh M. Salem,et al.  Bridging the Gap between Crisis Response Operations and Systems , 2009, ArXiv.

[114]  Kamalakar Karlapalem,et al.  Score Vector : A New Evaluation Scheme for RoboCup Rescue Simuation Competition 2009 ⋆ , 2008 .

[115]  Michael Batty,et al.  Ucl Centre for Advanced Spatial Analysis Working Papers Series Key Challenges in Agent-based Modelling for Geo-spatial Simulation Paper 121 -sept 07 Key Challenges in Agent-based Modelling for Geo-spatial Simulation , 2022 .

[116]  Anthony Skjellum,et al.  Using MPI - portable parallel programming with the message-parsing interface , 1994 .

[117]  Bryan E Bledsoe,et al.  Helicopter scene transport of trauma patients with nonlife-threatening injuries: a meta-analysis. , 2006, The Journal of trauma.

[118]  Abbas Alimohammadi,et al.  INTEGRATION OF AGENT-BASED MODELIING AND GIS FOR URBAN SIMULATION , 2007 .

[119]  Ralph Johnson,et al.  design patterns elements of reusable object oriented software , 2019 .

[120]  Peter G. Harrison,et al.  A Queueing Network Model of Patient Flow in an Accident and Emergency Department , 2006 .

[121]  Gregory R. Madey,et al.  Tools of the Trade: A Survey of Various Agent Based Modeling Platforms , 2009, J. Artif. Soc. Soc. Simul..

[122]  Jon Nicholl,et al.  THE COSTS AND BENEFITS OF CHANGING AMBULANCE SERVICE RESPONSE TIME PERFORMANCE STANDARDS , 2006 .

[123]  Herb Sutter,et al.  The Free Lunch Is Over A Fundamental Turn Toward Concurrency in Software , 2013 .

[124]  Alec Pawling,et al.  WIPER : An Emergency Response System , 2008 .

[125]  Joshua M. Epstein,et al.  Modelling to contain pandemics , 2009, Nature.

[126]  E. Auf der Heide The importance of evidence-based disaster planning. , 2006, Annals of emergency medicine.

[127]  Aidong Zhang,et al.  Multi-agent Model Analysis of the Containment Strategy for Avian Influenza (AI) in South Korea , 2008, 2008 IEEE International Conference on Bioinformatics and Biomedicine.

[128]  W. Haddon,et al.  The injury severity score: a method for describing patients with multiple injuries and evaluating emergency care. , 1974, The Journal of trauma.

[129]  M. Hare,et al.  Further towards a taxonomy of agent-based simulation models in environmental management , 2004, Math. Comput. Simul..

[130]  Rafael A. Gonzalez Analysis and design of a multi-agent system for simulating a crisis response organization , 2009 .

[131]  Stephen Eubank,et al.  Scalable, efficient epidemiological simulation , 2002, SAC '02.

[132]  C. McLean,et al.  A framework for modeling and simulation for emergency response , 2003, Proceedings of the 2003 Winter Simulation Conference, 2003..

[133]  Sujeet Kumar,et al.  Java Agent Development Framework , 2014 .

[134]  Vassilis Kostakos,et al.  Improving Emergency Response to Mass Casualty Incidents , 2008, 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom).

[135]  Rafael A. Gonzalez Crisis response simulation combining discrete-event and agent-based modeling , 2009 .

[136]  Andrew Runka,et al.  Genetic programming for the RoboCup Rescue Simulation System , 2011 .

[137]  Mohamed Ben Ahmed,et al.  An agent-based testbed for simulating large scale accident rescue heuristics , 2005 .

[138]  Jonathan Ozik,et al.  Visual agent-based model development with repast simphony. , 2007 .

[139]  E. W. Adams,et al.  Models of Man, Social and Rational: Mathematical Essays on Rational Human Behavior in a Social Setting , 1962 .

[140]  Michael Wooldridge,et al.  Introduction to multiagent systems , 2001 .

[141]  Mohamed Ben Ahmed,et al.  TOWARDS PLANNING FOR EMERGENCY ACTIVITIES IN LARGE-SCALE ACCIDENTS An Interactive and Generic Agent-Based simulator , 2004 .

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

[143]  Shivanand Balram,et al.  Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Simulating Social and Ecological Processes , 2003, The Professional Geographer.

[144]  N. Ferguson,et al.  Planning for smallpox outbreaks , 2003, Nature.

[145]  Alexis Drogoul,et al.  Multi-agent Based Simulation: Where Are the Agents? , 2002, MABS.

[146]  Rémy Glardon,et al.  Combining JADE and Repast for the Complex Simulation of Enterprise Value-Adding Networks , 2009, AOSE.

[147]  Werner Dubitzky,et al.  Repast HPC: A Platform for Large-Scale Agent-Based Modeling , 2012 .

[148]  Alexis Drogoul,et al.  Interactive Learning of Independent Experts' Criteria for Rescue Simulations , 2009, J. Univers. Comput. Sci..

[149]  David J. Israel,et al.  Plans and resource‐bounded practical reasoning , 1988, Comput. Intell..

[150]  L. Connelly,et al.  Discrete event simulation of emergency department activity: a platform for system-level operations research. , 2004, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[151]  Tomoichi Takahashi,et al.  RoboCup Rescue Disaster Simulator Architecture , 2000, RoboCup.

[152]  Jie Cheng,et al.  Programming Massively Parallel Processors. A Hands-on Approach , 2010, Scalable Comput. Pract. Exp..

[153]  A. Rubinstein Modeling Bounded Rationality , 1998 .

[154]  Joshua M. Epstein,et al.  Growing Artificial Societies: Social Science from the Bottom Up , 1996 .

[155]  Charles J. Petrie No Science without Semantics , 2007, IEEE Internet Computing.

[156]  Tridib Mukherjee,et al.  CRET : A Crisis Response Evaluation Tool to improve Crisis Preparedness , 2009 .

[157]  Yushim Kim,et al.  Searching for Sweet Spots of Communication during an Emergency Situation: Pandemic Influenza Outbreaks and Public Risk Communication , 2011 .

[158]  S. Eubank,et al.  If smallpox strikes Portland.... , 2005, Scientific American.

[159]  Kathleen M. Carley,et al.  WIZER: Automated Model Improvement in Multi-Agent Social-Network Systems , 2006 .

[160]  G. Huse Individual‐based Modeling and Ecology , 2008 .

[161]  R. Sun Cognition and Multi-Agent Interaction: Prolegomena To Integrating Cognitive Modeling And Social Simulation , 2005 .

[162]  Gary Klein,et al.  Rapid Decision Making on the Fire Ground , 1986 .

[163]  Tetsuhiko Koto A Distributed Disaster Simulation System That Integrates Sub-simulators , 2003 .

[164]  Terry L. Ruas,et al.  A Model for fire spreading by multi-agent systems: A RoboCup Rescue simulation and Swarm platform approach , 2009, 2009 Second International Conference on the Applications of Digital Information and Web Technologies.

[165]  Ikuo Takeuchi,et al.  A Massively Multi-agent Simulation System for Disaster Mitigation , 2004, MMAS.

[166]  Jan de Boer Definition and classification of disasters: introduction of a disaster severity scale. , 1990 .

[167]  Charles M. Macal,et al.  Tutorial on agent-based modelling and simulation , 2005, Proceedings of the Winter Simulation Conference, 2005..

[168]  Franziska Klügl-Frohnmeyer,et al.  Coupling GIS and multi-agent simulation - towards infrastructure for realistic simulation , 2006, Comput. Syst. Sci. Eng..

[169]  Hiroaki Kitano,et al.  The RoboCup-Rescue project: a robotic approach to the disaster mitigation problem , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[170]  James R. Larus,et al.  Software and the Concurrency Revolution , 2005, ACM Queue.

[171]  Joseph J Osterwalder,et al.  Can the “Golden Hour of Shock” Safely Be Extended in Blunt Polytrauma Patients? Prospective Cohort Study at a Level I Hospital in Eastern Switzerland , 2002, Prehospital and Disaster Medicine.

[172]  George D. Haddow,et al.  Introduction to Emergency Management , 2003 .

[173]  Hiroaki Kitano,et al.  RoboCup Rescue: search and rescue in large-scale disasters as a domain for autonomous agents research , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

[174]  Edsger W. Dijkstra,et al.  A note on two problems in connexion with graphs , 1959, Numerische Mathematik.

[175]  Gilberto Camara,et al.  Entities and Relations for Agent-Based Modelling of Complex Spatial Systems , 2010, 2010 Second Brazilian Workshop on Social Simulation.

[176]  Robert L. Axtell,et al.  Aligning simulation models: A case study and results , 1996, Comput. Math. Organ. Theory.

[177]  John Yen,et al.  A formal model for emerging coalitions under network influence in humanitarian relief coordination , 2009, SpringSim '09.

[178]  Massimo Bernaschi,et al.  OpenMP parallelization of agent-based models , 2005, Parallel Comput..

[179]  P. Rep,et al.  Individual-based modelling in ecology: what makes the difference? , 1996 .

[180]  Bernhard Nebel,et al.  Successful Search and Rescue in Simulated Disaster Areas , 2005, RoboCup.

[181]  Gregory R. Madey,et al.  Spatially aware agents: an effective and efficient use of GIS data within an agent-based model , 2009, SpringSim '09.

[182]  E. Burke,et al.  Decision making on the London incident ground: an exploratory study , 1997 .

[183]  Marios Hadjieleftheriou,et al.  R-Trees - A Dynamic Index Structure for Spatial Searching , 2008, ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems.

[184]  Cje Castle,et al.  Ucl Centre for Advanced Spatial Analysis Principles and Concepts of Agent-based Modelling for Developing Geospatial Simulations Principles and Concepts of Agent-based Modelling for Developing Geospatial Simulations 1.2.4.2: Guidelines for Choosing a Simulation / Modelling System .................24 , 2022 .

[185]  David Mendonça,et al.  Decision support for improvisation in response to extreme events: Learning from the response to the 2001 World Trade Center attack , 2007, Decis. Support Syst..

[186]  Alexander Verbraeck,et al.  D-SOL; a distributed Java based discrete event simulation architecture , 2002, Proceedings of the Winter Simulation Conference.

[187]  共立出版株式会社 コンピュータ・サイエンス : ACM computing surveys , 1978 .

[188]  Gordon S. Smith,et al.  Occupational fatalities in emergency medical services: a hidden crisis. , 2002, Annals of emergency medicine.

[189]  Michael R. Berren,et al.  A typology for the classification of disasters , 2004, Community Mental Health Journal.

[190]  Martin J. Alperen The Federal Emergency Management Agency , 2011 .

[191]  Jon Louis Bentley,et al.  Quad trees a data structure for retrieval on composite keys , 1974, Acta Informatica.

[192]  Rj Allan,et al.  Survey of Agent Based Modelling and Simulation Tools , 2009 .

[193]  Bud Mishra,et al.  Resilience in the Face of Disaster: Accounting for Varying Disaster Magnitudes, Resource Topologies, and (Sub)Population Distributions in the PLAN C Emergency Planning Tool , 2007, HoloMAS.

[194]  David Mendonça,et al.  Training for improvisation in emergency management: opportunities and limits for information technology , 2006 .

[195]  D. Davis,et al.  Emergency medical services intervals and survival in trauma: assessment of the "golden hour" in a North American prospective cohort. , 2010, Annals of emergency medicine.

[196]  Deborah Duong Verification, Validation, and Accreditation (VV&A) of Social Simulations , 2010 .

[197]  Michael North,et al.  Containing agents : contexts, projections, and agents. , 2006 .