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A Resilient Network for Large Scale Disasters from Experience Based on the Great East Japan Earthquake

Author

Listed:
  • Yoshitaka Shibata

    (Iwate Prefectural University, Japan)

  • Noriki Uchida

    (Fukuoka Institute Technology, Japan)

  • Norio Shiratori

    (IWaseda University, Japan)

Abstract

Recently serious natural disasters such as earthquakes, tsunami, typhoons and hurricanes have occurred in many places around the world. The Great East Japan Earthquake on March 11, 2011 brought more than nineteen thousand victims and destroyed huge number of houses, buildings, roads and seaports over the wide area of Northern Japan. Information networks and systems and electric power cables were also severely damaged by the great Tsunami. Functions in the highly developed information society and residents� safety and security were completely compromised. Thus, through the lessons from this great earthquake, the construction of a more robust and resilient information network has become one of the topical issues. This paper focuses on our information network recovery activity after the Great East Japan Earthquake. Then the problems of current information network systems are analyzed in order to improve disaster information network and system through our network recovery activity. Finally, we suggest systems and functions required for future large scale disasters.

Suggested Citation

  • Yoshitaka Shibata & Noriki Uchida & Norio Shiratori, 2017. "A Resilient Network for Large Scale Disasters from Experience Based on the Great East Japan Earthquake," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 1, pages 149-159, March.
    • Handle: RePEc:nwe:eajour:y:2017:i:1:p:149-159
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    More about this item

    Keywords

    Disaster Information Network; Great East Japan Earthquake; Never Die Network; Resilient Network;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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