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Mapping an emergency management network

Uhr, Christian LU and Tehler, Henrik LU (2007) In International Journal of Emergency Management 4(1). p.104-118
Abstract
We present a web-based method for mapping various relations between agents that have been involved in an emergency response operation. The method is based on combining a web-questionnaire with telephone interviews and it provides an efficient way of collecting large amount of information concerning the agents. By using the resulting network of agents it is possible to perform various network analyses such as identifying important agents and groups, analysing the correlation between certain relations between the agents, and studying the temporal development of the network. Furthermore, we exemplify the method by presenting results from an analysis of an emergency management operation concerning the release of 16.000 tons of sulphuric acid... (More)
We present a web-based method for mapping various relations between agents that have been involved in an emergency response operation. The method is based on combining a web-questionnaire with telephone interviews and it provides an efficient way of collecting large amount of information concerning the agents. By using the resulting network of agents it is possible to perform various network analyses such as identifying important agents and groups, analysing the correlation between certain relations between the agents, and studying the temporal development of the network. Furthermore, we exemplify the method by presenting results from an analysis of an emergency management operation concerning the release of 16.000 tons of sulphuric acid in the city of Helsingborg, Sweden. We conclude that the emergency management organization included a significant amount of agents that were not part of any plans, such as boundary spanners and agents that were not part of any of the involved organizations but still played very important roles during the operation. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
social network analysis, emergency management, computer-based data collection
in
International Journal of Emergency Management
volume
4
issue
1
pages
104 - 118
publisher
Inderscience
external identifiers
  • scopus:33947527628
ISSN
1471-4825
project
FRIVA
language
English
LU publication?
yes
id
a5d942b8-d745-46e9-b42b-8e51d05b7b9e (old id 585269)
date added to LUP
2007-11-16 23:04:31
date last changed
2017-01-01 04:55:37
@article{a5d942b8-d745-46e9-b42b-8e51d05b7b9e,
  abstract     = {We present a web-based method for mapping various relations between agents that have been involved in an emergency response operation. The method is based on combining a web-questionnaire with telephone interviews and it provides an efficient way of collecting large amount of information concerning the agents. By using the resulting network of agents it is possible to perform various network analyses such as identifying important agents and groups, analysing the correlation between certain relations between the agents, and studying the temporal development of the network. Furthermore, we exemplify the method by presenting results from an analysis of an emergency management operation concerning the release of 16.000 tons of sulphuric acid in the city of Helsingborg, Sweden. We conclude that the emergency management organization included a significant amount of agents that were not part of any plans, such as boundary spanners and agents that were not part of any of the involved organizations but still played very important roles during the operation.},
  author       = {Uhr, Christian and Tehler, Henrik},
  issn         = {1471-4825},
  keyword      = {social network analysis,emergency management,computer-based data collection},
  language     = {eng},
  number       = {1},
  pages        = {104--118},
  publisher    = {Inderscience},
  series       = {International Journal of Emergency Management},
  title        = {Mapping an emergency management network},
  volume       = {4},
  year         = {2007},
}