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The Core and Periphery of Emergency Management Networks

Author

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  • Scott E. Robinson
  • Warren S. Eller
  • Melanie Gall
  • Brian J. Gerber

Abstract

Emergency planning and response increasingly involve close interactions between a diverse array of actors across fields (emergency management, public health, law enforcement, etc.); sectors (government, non-profit and for-profit); and levels of government (local, state and federal). This article assesses the temporal dynamics of emergency management networks in two moderately sized communities that have served as large-scale disaster evacuation hosting sites in the past decade. The paper uses two strategies for tracking the evolution of these networks across time. First, we develop a network roster using newspaper and newswire data sources across a decade. Second, we develop a view of the evolution of the networks by analysing emergency operations plans for each community. Analysis of data reveals a contrast between a core set of consistent (mostly governmental) actors and a peripheral set of rapidly turning over (mostly non-governmental) actors - though the account depends on the mode of data on which one focuses. The article concludes with a discussion of the advantage presented by having a two-tier network for evacuation hosting that mixes core and periphery across multiple sectors.

Suggested Citation

  • Scott E. Robinson & Warren S. Eller & Melanie Gall & Brian J. Gerber, 2013. "The Core and Periphery of Emergency Management Networks," Public Management Review, Taylor & Francis Journals, vol. 15(3), pages 344-362, March.
  • Handle: RePEc:taf:pubmgr:v:15:y:2013:i:3:p:344-362
    DOI: 10.1080/14719037.2013.769849
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    Cited by:

    1. Bojan Obrenovic & Jianguo Du & Danijela Godinic & Diana Tsoy & Muhammad Aamir Shafique Khan & Ilimdorjon Jakhongirov, 2020. "Sustaining Enterprise Operations and Productivity during the COVID-19 Pandemic: “Enterprise Effectiveness and Sustainability Model”," Sustainability, MDPI, vol. 12(15), pages 1-27, July.
    2. Kyu-Myoung Lee & Kyujin Jung, 2019. "Factors Influencing the Response to Infectious Diseases: Focusing on the Case of SARS and MERS in South Korea," IJERPH, MDPI, vol. 16(8), pages 1-19, April.
    3. Mackenzie Consoer & Anita Milman, 2016. "The dynamic process of social capital during recovery from Tropical Storm Irene in Vermont," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 155-174, October.
    4. Jie Liu & Jingyu Hao & Zhenwu Shi & Helen X. H. Bao, 2020. "Building the COVID-19 Collaborative Emergency Network: a case study of COVID-19 outbreak in Hubei Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(3), pages 2687-2717, December.
    5. Thein Myomin & Seunghoo Lim, 2022. "The emergence of multiplex dynamics between information provision ties and rescue collaboration ties: a longitudinal network analytic approach to flooding cases in Myanmar," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(1), pages 645-663, October.
    6. Alireza Abbasi, 2014. "Link formation pattern during emergency response network dynamics," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(3), pages 1957-1969, April.

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