Modeling emergency evacuation of individuals with disabilities (exitus): An agent-based public decision support system

Expert Systems with Applications

Volumn 39, Issue 9, 2012, Pages 8300-8311

  Manley, Matthew ^a   Kim, Yong Seog ^a  

^a UTAH STATE UNIVERSITY   (United States)

Author keywords

Agent based modeling; Emergency evacuation; Individuals with disabilities; Pedestrian simulation; Public decision support system

Indexed keywords

AGENT-BASED MODELING; DECISION SUPPORTS; EMERGENCY EVACUATION; INDIVIDUALS WITH DISABILITIES; PEDESTRIAN SIMULATION;

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DECISION SUPPORT SYSTEMS; EQUIPMENT TESTING;

HEALTH RISKS;

EID: 84862823605     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.01.169     Document Type: Article

References (45)

1. N. Ashford, M. OLeary, and P.D. McGinty Stochastic modeling of passenger and baggage flows through an airport terminal Traffic Engineering and Control 17 1976 207 210
2. V. Bazjanik Simulation of elevator performance in high rise buildings D.J. Conway, Human response to tall buildings 1977 Dowden, Hutchinson & Ross, Inc. Stroudsberg, PA
3. V.J. Blue, and J.L. Adler Cellular automata microsimulation for modeling bi-directional pedestrian walkways Transportation Research B 35 1999 293 312
4. E. Bouvier, E. Cohen, and L. Najman From crowd simulation to airbag deployment: particle systems, a new paradigm of simulation Journal of Electronic Imaging 6 1 1997 94 107
5. K. Boyce, T.J. Shields, and G.W. Silcock Toward the characterization of building occupancies for fire safety engineering: Prevalence, type, and mobility of disabled people Fire Technology 35 1 1999 35 50
6. C. Burstedde, K. Klauck, A. Schadschneider, and J. Zittartz Simulation of pedestrian dynamics using a 2-dimensional cellular automaton Physica A 295 3-4 2001 507 525
7. Burton, M.L. & Hicks, M.J. (2005). Hurricane Katrina: Preliminary estimates of commercial and public sector damages. Marshall University, Center for Business and Economic Resources. (October 8, 2010).
8. L.E. Cederman Emergent actors in world politics 1997 Princeton Univserity Press Princeton, NJ
9. H. Chen Intelligence and security informatics for international security: Information sharing and data mining 2006 Spring Science + Business Media Inc. New York, NY
10. K.M. Christensen, S.D. Collins, J.M. Holt, and C.N. Phillips The relationship between the design of the built environment and the ability to egress of individuals with disabilities Review of Disabilities Studies 2 3 2006 24 34
11. K.M. Christensen, and Y. Sasaki Agent-based emergency evacuation simulation with individuals with disabilities in the population Journal of Artificial Societies and Social Simulation 11 3 2008 Retrieved September 8, 2010 from
12. P. Corning The re-emergence of emergence: A venerable concept in search of a theory Complexity 7 6 2002 18 30
13. O. Dahl, and C. Nygaard SIMULA: An ALGOL-based simulation language Communications of the ACM 9 9 1966 671 678
14. D.P. Davis, and J.P. Braaksma Adjusting for luggage-laden pedestrians in airport terminals Transportation Research A 22 1988 375 388
15. Escobar, R. & De La Rosa, A. (2003). Architectural design for the survival optimization of panicking fleeing victims. In: Banzhaf, W.; Christaller, T.; Dittrich, P.; Kim, J.T.; and Ziegler, J. (Eds.), Advances in Artificial Life, 7th European Conference (pp. 97-106).
16. J.M. Guralnik, L.P. Fried, and M.E. Salive Disabilities as a public health outcome in the aging population Annual Review of Public Health 17 1996 25 46
17. D. Helbing, and P. Molnar Social force model for pedestrian dynamics Physical Review E 51 1995 4282 4286
18. D. Helbing, L. Buzna, A. Johanssen, and T. Werner Self-organized pedestrian crowd dynamics: experiments, simulations, and design solutions Transportation Science 39 1 2005 1 24
19. D. Helbing, I. Farkas, P. Molnar, and K. Bolay Self-organizing pedestrian movement Environment and Planning B: Planning and Design 28 3 2001 361 383
20. L.F. Henderson On the fluid mechanics of human crowd motion Transportation Research 8 1974 509 513
21. A. Hevner, S. March, J. Park, and S. Ram Design science in information systems research MIS Quarterly 28 1 2004 75 105
22. S. Hoogendoorn, and P. Bovy Gas-kinetic modeling and simulation of pedestrian flows Transportation Research Record 1710 1 2000 28 36
23. D. Garbrecht Describing pedestrian and car trips by transition matrixes Traffic Quarterly 27 1 1973 89 109
24. J.M. Guralnik, L.P. Fried, and M.E. Salive Disabilities as a public health outcome in the aging population Annual Review of Public Health 17 1996 25 46
25. D.E. Knuth 3rd ed. The art of computer programming Vol. 1 1997 Addison-Wesley Boston, MA
26. Kuligowski, E. & Peacock, R. (2005). A review of building evacuation models. Technical Note 1471: National Institute of Standards and Technology. (September 8, 2010).
27. G.G. Lovas Modeling and simulation of pedestrian traffic flow Transportation Research B 28 1994 429 443
28. Lu, Q.; Huang, Y. & Shekhar, S. (2003). Evacuation planning: A capacity constrained routing approach. In: Chen, H.; Miranda, R.; Zeng, D.; Demchak, C. et al. (Eds.), Proceedings of the First NSF/NIJ Symposium on Intelligence and Security Informatics (ISI '03) (pp. 111-125).
29. Makinen, G. (2002). The economic effects of 9/11: A Retrospective Assessment (Congressional Report No. RL31617). Washington DC: Library of Congress Congressional Research Service. Retrieved from (September 29, 2010).
30. S.T. March, and G. Smith Design and natural science research on information technology Decision Support Systems 15 4 1996 251 266
31. Office of Homeland Security (2002). National strategy for homeland security. Washington, DC: Office of Homeland Security.
32. A. Polus, J.L. Schofer, and A. Ushpiz Pedestrian flow and level of service Journal of Transportation Engineering 109 1983 46 56
33. I. Prigogine, and R. Herman Kinetic theory of vehiculartraffic 1971 Elsevier New York
34. Proulx, G. & Fahy, R.F. 2001. Toward creating a database on delay times to start evacuation and walking speeds for use in evacuation modeling. 2nd International Symposium on Human Behavior in Fire (pp. 175-173).
35. D. Purser, and M. Bensilum Quantification of behavior for engineering design standards and escape time calculations Safety Science 28 2 2001 157 182
36. Rehabilitation Research and Training Center on Disabilities Demographics and Statistics (2005). 2005 Disabilities Status Reports. Ithaca, NY: Cornell University.
37. T.J. Shields, K.E. Boyce, and N. McConnell The behavior and evacuation experiences of WTC 9/11 evacuees with self-designated mobility impairments Fire Safety Journal 44 6 2009 881 893
38. A. Srbljinovic, and O. Skunca An introduction to agent based modeling and simulation of social processes Interdisciplinary Description of Complex Systems 1 1-2 2003 1 8
39. T. Sueyoshi, and G. Tadiparthi An agent-based decision support system for wholesale electricity market Decision Support Systems 44 2008 425 446
40. U.S. Census Bureau (2001). Census 2000 Summary File 4, (September 8, 2010).
41. A. Valluri, and D. Croson Agent learning in supplier selection models Decision Support Systems 39 2005 219 240
42. J. Wang, K. Gwebu, M. Shanger, and M. Troutt An application of agent-based simulation to knowledge sharing Decision Support Systems 46 2009 532 541
43. H.J. Watson, and B.H. Wixom The current state of business intelligence IEEE Computer 409 2007 96 99
44. N. Wirth Good ideas, through the looking glass Computer 32 1 2006 28 39
45. M.S. Wright, G.K. Cook, and G.M. Webber Emergency lighting and wayfinding provision systems for visually impaired people: Phase I of a study Lighting Research Technology 31 2 1999 35 42