• DocumentCode
    2757684
  • Title

    Uncertainty-based research on integrated natural disaster risk on coastal cities

  • Author

    Zhang Mingyuan ; Feng Shisen ; Yuan Yongbo ; Li Hongnan

  • Author_Institution
    Dept. of Infrastruct. Eng., Dalian Univ. of Technol., Dalian, China
  • fYear
    2010
  • fDate
    2-5 June 2010
  • Firstpage
    1130
  • Lastpage
    1135
  • Abstract
    The coastal cities are always exposed under the risk of different kinds of natural disasters due to their special locations. The integrated risk analysis method should be developed from the commonness of hazard-affected bodies and mainly focus on the risk uncertainties. In this paper, the influence factors about natural disaster hazards and vulnerability of coastal cities are summarized and classified according to their identical, opposite and fluctuant properties. The risk assessment model is founded based on the connection degree approach of set pairs. The entropies of weight factors, which are acquired by projection pursuit method, determine the extent of fluctuant performance. The departure direction and extent of fluctuant performance form the threshold of natural disaster risk. Based on the analysis results, different decision makers could make decision according to their personal risk preferences. Furthermore, the range of natural disaster loss could be computed if met some conditions.
  • Keywords
    emergency services; risk analysis; coastal cities; connection degree approach; departure direction; integrated natural disaster risk; integrated risk analysis method; natural disaster hazards; risk assessment model; risk uncertainty; uncertainty-based research; weight factor entropy; Cities and towns; Environmental economics; Frequency; Hazards; Local government; Power generation economics; Risk analysis; Risk management; Sea measurements; Uncertainty; Coastal cities; connection degree; natural disaster risk;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management of Innovation and Technology (ICMIT), 2010 IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-6565-1
  • Electronic_ISBN
    978-1-4244-6566-8
  • Type

    conf

  • DOI
    10.1109/ICMIT.2010.5492901
  • Filename
    5492901