Disaster-Function Management: Basic Principles

Article Properties
  • Language
    English
  • Publication Date
    2014/02/01
  • Indian UGC (journal)
  • Refrences
    76
  • Citations
    1
  • Sólveig Thorvaldsdóttir Senior Research Engineer, Earthquake Engineering Research Institute, Univ. of Iceland, 800 Selfoss, Iceland; and Director, Rainrace, Nordurbraut 33, 801 Selfoss, Iceland (corresponding author).
  • Ragnar Sigbjörnsson Professor, School of Engineering and Natural Sciences, Univ. of Iceland, 101 Reykjavik, Iceland; and Professor, Faculty of Engineering Science and Technology, Norwegian Univ. of Science and Technology, 7491 Trondheim, Norway.
Cite
Thorvaldsdóttir, Sólveig, and Ragnar Sigbjörnsson. “Disaster-Function Management: Basic Principles”. Natural Hazards Review, vol. 15, no. 1, 2014, pp. 48-57, https://doi.org/10.1061/(asce)nh.1527-6996.0000118.
Thorvaldsdóttir, S., & Sigbjörnsson, R. (2014). Disaster-Function Management: Basic Principles. Natural Hazards Review, 15(1), 48-57. https://doi.org/10.1061/(asce)nh.1527-6996.0000118
Thorvaldsdóttir S, Sigbjörnsson R. Disaster-Function Management: Basic Principles. Natural Hazards Review. 2014;15(1):48-57.
Journal Categories
Geography
Anthropology
Recreation
Environmental sciences
Science
Geology
Science
Physics
Meteorology
Climatology
Technology
Engineering (General)
Civil engineering (General)
Technology
Hydraulic engineering
River, lake, and water-supply engineering (General)
Refrences
Title Journal Journal Categories Citations Publication Date
Reconsidering the Phases of Disaster

International Journal of Mass Emergencies & Disasters 110 1997
Tracking the evolution of the disaster management cycle: A general system theory approach Journal of Applied Management and Business Administration 2012
Review of disaster management: Global challenges and local solutions 2010
Long term recovery from disasters—The neglected component of emergency management 2009
Learning from exemplary practices in international disaster management: A fresh avenue to inform U.S. policy? 2009
Citations
Title Journal Journal Categories Citations Publication Date
Risk Analysis of Emergency Based on Fuzzy Evidential Reasoning

Complexity
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics
  • Science: Science (General)
  • Science: Mathematics
4 2019
Citations Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 1 is the most commonly referenced area in studies that cite this article.