Multi-objective evacuation routing optimization for toxic cloud releases
Tài liệu tham khảo
Zhou, 2012, Risk assessment of major hazards and its application in urban planning: a case study, Risk Anal, 32, 566, 10.1111/j.1539-6924.2011.01670.x
Li, 2009, The unfolding of ‘12.23’ Kaixian blowout accident in China, Saf Sci, 47, 1107, 10.1016/j.ssci.2008.12.005
He, 2011, Managing major chemical accidents in China: towards effective risk information, J Hazard Mater, 187, 171, 10.1016/j.jhazmat.2011.01.017
Jiang J, Wang P, Lung W, et al. A GIS-based generic real-time risk assessment framework and decision tools for chemical spills in the river basin. vol. C227. 2012. p. 280–91.
Duan, 2011, The situation of hazardous chemical accidents in China between 2000 and 2006, J Hazard Mater, 186, 1489, 10.1016/j.jhazmat.2010.12.029
O’Mahony, 2008, Emergency planning and the Control of Major Accident Hazards (COMAH/Seveso II) Directive: an approach to determine the public safety zone for toxic cloud releases, J Hazard Mater, 154, 355, 10.1016/j.jhazmat.2007.10.065
Georgiadou, 2010, Multi-objective evolutionary emergency response optimization for major accidents, J Hazard Mater, 178, 792, 10.1016/j.jhazmat.2010.02.010
Sorensen, 2004, Planning for protective action decision making: evacuate or shelter-in-place, J Hazard Mater, 109, 1, 10.1016/j.jhazmat.2004.03.004
Stepanov, 2009, Multi-objective evacuation routing in transportation networks, Eur J Oper Res, 198, 435, 10.1016/j.ejor.2008.08.025
Yin, 2010, Decision making of personnel emergency protective actions for toxic gas leakage accident, J Nanjing Univ Technol, 32, 64
YAMADA, 1996, A network flow approach to a city emergency evacuation planning, Int J Syst Sci, 27, 931, 10.1080/00207729608929296
Stevanus Adrianto Tjandra. Dynamic network optimization with application to the evacuation problem. Shaker. 2003.
Kamiyama, 2006, An efficient algorithm for the evacuation problem in dynamic network flows with uniform arc capacity and its extension (theory of modeling and optimization), Nature, 1526, 232
Muramatsu, 1999, Jamming transition in pedestrian counter flow, Physica A Stat Mech Its Appl, 267, 487, 10.1016/S0378-4371(99)00018-7
Peacock, 2012, Overall and local movement speeds during fire drill evacuations in buildings up to 31 stories, Saf Sci, 50, 1655, 10.1016/j.ssci.2012.01.003
Georgiadou, 2007, Modeling emergency evacuation for major hazard industrial sites, Reliab Eng Syst Saf, 92, 1388, 10.1016/j.ress.2006.09.009
Chooramun, 2012, An agent based evacuation model utilising hybrid space discretisation, Saf Sci, 50, 1685, 10.1016/j.ssci.2011.12.022
Yi, 2007, A dynamic logistics coordination model for evacuation and support in disaster response activities, Eur J Oper Res, 179, 1177, 10.1016/j.ejor.2005.03.077
Deng, 2011, Fuzzy Dijkstra algorithm for shortest path problem under uncertain environment, Appl Soft Comput, 12, 1231, 10.1016/j.asoc.2011.11.011
Berkoune, 2012, Transportation in disaster response operations, Socio-Econ Plan Sci, 46, 23, 10.1016/j.seps.2011.05.002
Zhang, 2013, Route selection for emergency logistics management: a bio-inspired algorithm, Saf Sci, 54, 87, 10.1016/j.ssci.2012.12.003
Rennemo, 2014, A three-stage stochastic facility routing model for disaster response planning, Transp Res E-Log, 62, 116, 10.1016/j.tre.2013.12.006
Xiao, 2001, Shortest evacuation route on toxic leakage, J Northeast Univ (Nat Sci), 22, 674
Shen, 2015, An evacuation model coupling with toxic effect for chemical industrial park, J Loss Prev Process Ind, 33, 258, 10.1016/j.jlp.2015.01.002
Xu, 2014, An individual risk assessment framework for high-pressure natural gas wells with hydrogen sulphide, applied to a case study in China, Saf Sci, 68, 14, 10.1016/j.ssci.2014.02.013
Jonkman, 2003, An overview of quantitative risk measures for loss of life and economic damage, J Hazard Mater, 99, 1, 10.1016/S0304-3894(02)00283-2
Brown, 2007, Application of a quantitative risk assessment method to emergency response planning, Comput Oper Res, 34, 1243, 10.1016/j.cor.2005.06.001
U.S. Department of the Army Office of the Assistant Secretary of the Army (Acquisition. Logistics and Technology) and Department of Homeland Security Emergency Preparedness and Response Directorate. Exercise policy and guidance for the chemical stockpile emergency preparedness program. SEP-7; 2004. [1-1–1-2].
Franks, 2006, A simplified method for the estimation of individual risk, Process Saf Environ Prot, 84, 101, 10.1205/psep.04287
Han, 2006, Global optimization of emergency evacuation assignments, Inter, 36, 502
Yuan, 2009, Path selection model and algorithm for emergency logistics management, Comput Ind Eng, 56, 1081, 10.1016/j.cie.2008.09.033
Lahdelma, 2000, Using multicriteria methods in environmental planning and management, Environ Manag, 26, 595, 10.1007/s002670010118
Mustajoki, 2007, Interactive computer support in decision conferencing: two cases on off-site nuclear emergency management, Decis Support Syst, 42, 2247, 10.1016/j.dss.2006.07.003
Geldermann, 2009, Multi-criteria decision support and evaluation of strategies for nuclear remediation management, Omega, 37, 238, 10.1016/j.omega.2006.11.006
Levy, 2007, Group decision support for hazards planning and emergency management: a group analytic network process (GANP) approach, Math Comput Model, 46, 906, 10.1016/j.mcm.2007.03.001
Deb, 1917, A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-ii, Lect Notes Comput Sci, 2000, 849
Marseguerra, 2004, A multiobjective genetic algorithm approach to the optimization of the technical specifications of a nuclear safety system, Reliab Eng Syst Saf, 84, 87, 10.1016/S0951-8320(03)00175-3
Kim, 2005, Adaptive weighted-sum method for bi-objective optimization: Pareto front generation, Struct Multidiscip Optim, 29, 149, 10.1007/s00158-004-0465-1
Sheu, 2007, An emergency logistics distribution approach for quick response to urgent relief demand in disasters, Transp Res Part E, 43, 687, 10.1016/j.tre.2006.04.004
Kim, 2006, Adaptive weighted sum method for multiobjective optimization: a new method for Pareto front generation, Struct Multidiscip O, 31, 105, 10.1007/s00158-005-0557-6
Bottelberghs, 2000, Risk analysis and safety policy developments in The Netherlands, J Hazard Mater, 71, 59, 10.1016/S0304-3894(99)00072-2
TAW. Technical Advisory Committee on Water Defences, Some considerations of an acceptable level of risk in The Netherlands, TAW; 1985.
OGP. Risk Assessment Data Directory, Report No. 43 4-14.1, March 2010. Vulnerability of Humans. Available at: 〈http://www.ogp.org.uk/pubs/434-14.pdf〉
Papazoglou, 1992, Probabilistic safety analysis in chemical installations, J Loss Prev Proc, 5, 181, 10.1016/0950-4230(92)80022-Z
Xiao, 2001, Shortest evacuation route on toxic leakage, J Northeast Univ (Nat Sci), 22, 674
Zhang, 2006, Route choice for transporting exigency succor materials, J Saf Environ, 6, 51
Konak, 2006, Multi-objective optimization using genetic algorithms: a tutorial, Reliab Eng Syst Saf, 91, 992, 10.1016/j.ress.2005.11.018
Health and Safety Executive, Reducing risks, protecting people—HSE’s decision making process; 2001. 0-7176-2151-0. Available at:〈http://www.he.gov.uk/dst/r2p2.pdf〉.
Ale, 2002, Risk assessment practices in The Netherlands, Saf Sci, 40, 105, 10.1016/S0925-7535(01)00044-3
US Environmental Protection Agency, National Oceanic and Atmospheric Administration. ALOHA user manual. Available at: 〈http://www.epa.gov/OEM/cameo/aloha.htm〉. [last accessed May 8, 2007].
DNEG, 2008
Gao, 2008, Mathematical model and algorithm of a dynamic optimum rescue route during mine fire time based on MapObject, J Univ Sci Technol, 30, 705