dc.contributor.author |
Georgiadou, PS |
en |
dc.contributor.author |
Papazoglou, IA |
en |
dc.contributor.author |
Kiranoudis, CT |
en |
dc.contributor.author |
Markatos, NC |
en |
dc.date.accessioned |
2014-03-01T01:33:46Z |
|
dc.date.available |
2014-03-01T01:33:46Z |
|
dc.date.issued |
2010 |
en |
dc.identifier.issn |
0304-3894 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/20586 |
|
dc.subject |
Emergency planning |
en |
dc.subject |
Evacuation |
en |
dc.subject |
Major accident |
en |
dc.subject |
Multi-objective evolutionary algorithm |
en |
dc.subject |
Shelter-in-place |
en |
dc.subject.classification |
Engineering, Environmental |
en |
dc.subject.classification |
Engineering, Civil |
en |
dc.subject.classification |
Environmental Sciences |
en |
dc.subject.other |
Economic costs |
en |
dc.subject.other |
Emergency planning |
en |
dc.subject.other |
Emergency response |
en |
dc.subject.other |
Emergency response planning |
en |
dc.subject.other |
Health consequences |
en |
dc.subject.other |
In-buildings |
en |
dc.subject.other |
Land-use planning |
en |
dc.subject.other |
Major accidents |
en |
dc.subject.other |
Multi objective |
en |
dc.subject.other |
Multi objective evolutionary algorithms |
en |
dc.subject.other |
Multiple criteria |
en |
dc.subject.other |
Nuclear accidents |
en |
dc.subject.other |
Optimization tools |
en |
dc.subject.other |
Personal protective equipment |
en |
dc.subject.other |
Protective action |
en |
dc.subject.other |
Shelter-in-place |
en |
dc.subject.other |
Decision making |
en |
dc.subject.other |
Hazardous materials |
en |
dc.subject.other |
Land use |
en |
dc.subject.other |
Materials handling |
en |
dc.subject.other |
Multiobjective optimization |
en |
dc.subject.other |
Nuclear reactor accidents |
en |
dc.subject.other |
Occupational risks |
en |
dc.subject.other |
Protective clothing |
en |
dc.subject.other |
Evolutionary algorithms |
en |
dc.subject.other |
ammonia |
en |
dc.subject.other |
accident |
en |
dc.subject.other |
algorithm |
en |
dc.subject.other |
decision making |
en |
dc.subject.other |
hazard management |
en |
dc.subject.other |
multiobjective programming |
en |
dc.subject.other |
optimization |
en |
dc.subject.other |
accident |
en |
dc.subject.other |
article |
en |
dc.subject.other |
boiling liquid expanding explosion |
en |
dc.subject.other |
decision making |
en |
dc.subject.other |
emergency care |
en |
dc.subject.other |
evolutionary algorithm |
en |
dc.subject.other |
explosion |
en |
dc.subject.other |
hazard |
en |
dc.subject.other |
material state |
en |
dc.subject.other |
practice guideline |
en |
dc.subject.other |
process optimization |
en |
dc.subject.other |
safety |
en |
dc.subject.other |
Accidents, Occupational |
en |
dc.subject.other |
Algorithms |
en |
dc.subject.other |
Decision Making |
en |
dc.subject.other |
Disaster Planning |
en |
dc.subject.other |
Hazardous Substances |
en |
dc.subject.other |
Humans |
en |
dc.subject.other |
Petroleum |
en |
dc.subject.other |
Public Health |
en |
dc.subject.other |
Radioactive Hazard Release |
en |
dc.subject.other |
Safety |
en |
dc.subject.other |
Socioeconomic Factors |
en |
dc.title |
Multi-objective evolutionary emergency response optimization for major accidents |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1016/j.jhazmat.2010.02.010 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1016/j.jhazmat.2010.02.010 |
en |
heal.language |
English |
en |
heal.publicationDate |
2010 |
en |
heal.abstract |
Emergency response planning in case of a major accident (hazardous material event, nuclear accident) is very important for the protection of the public and workers' safety and health. In this context, several protective actions can be performed, such as, evacuation of an area: protection of the population in buildings: and use of personal protective equipment. The best solution is not unique when multiple criteria are taken into consideration (e.g. health consequences, social disruption, economic cost). This paper presents a methodology for multi-objective optimization of emergency response planning in case of a major accident. The emergency policy with regards to protective actions to be implemented is optimized. An evolutionary algorithm has been used as the optimization tool. Case studies demonstrating the methodology and its application in emergency response decision-making in case of accidents related to hazardous materials installations are presented. However, the methodology with appropriate modification is suitable for supporting decisions in assessing emergency response procedures in other cases (nuclear accidents, transportation of hazardous materials) or for land-use planning issues. (C) 2010 Elsevier B.V. All rights reserved. |
en |
heal.publisher |
ELSEVIER SCIENCE BV |
en |
heal.journalName |
Journal of Hazardous Materials |
en |
dc.identifier.doi |
10.1016/j.jhazmat.2010.02.010 |
en |
dc.identifier.isi |
ISI:000278056300108 |
en |
dc.identifier.volume |
178 |
en |
dc.identifier.issue |
1-3 |
en |
dc.identifier.spage |
792 |
en |
dc.identifier.epage |
803 |
en |