A Risk-based approach for identifying key economic and infrastructure systems

<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
  <record>
    <leader>00000cab a2200000   4500</leader>
    <controlfield tag="001">MAP20100060421</controlfield>
    <controlfield tag="003">MAP</controlfield>
    <controlfield tag="005">20220911212156.0</controlfield>
    <controlfield tag="008">100716e20100601esp|||p      |0|||b|spa d</controlfield>
    <datafield tag="040" ind1=" " ind2=" ">
      <subfield code="a">MAP</subfield>
      <subfield code="b">spa</subfield>
      <subfield code="d">MAP</subfield>
    </datafield>
    <datafield tag="084" ind1=" " ind2=" ">
      <subfield code="a">7</subfield>
    </datafield>
    <datafield tag="100" ind1=" " ind2=" ">
      <subfield code="0">MAPA20100044483</subfield>
      <subfield code="a">Barker, Kash</subfield>
    </datafield>
    <datafield tag="245" ind1="0" ind2="2">
      <subfield code="a">A Risk-based approach for identifying key economic and infrastructure systems </subfield>
      <subfield code="c">Kash Barker, Joost R. Santos</subfield>
    </datafield>
    <datafield tag="520" ind1=" " ind2=" ">
      <subfield code="a">This article introduces approaches for identifying key interdependent infrastructure sectors based on the inventory dynamic inoperabilíty input-output model, which integrates an inventory model and a risk-based interdependency model. An identification of such key sectors narrows a policymaker's focus on sectors providing most impact and receiving most impact from inventory-caused delays in inoperability resultins from disruptive events. A case study Íllustrates the practical insights of the key sector approaches derived from a value of workforce-centered production inoperabilily from Bureau of Economic Analysis data.</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="1">
      <subfield code="0">MAPA20080588434</subfield>
      <subfield code="a">Toma de decisiones</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="1">
      <subfield code="0">MAPA20080578848</subfield>
      <subfield code="a">Análisis de datos</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="1">
      <subfield code="0">MAPA20080588953</subfield>
      <subfield code="a">Análisis de riesgos</subfield>
    </datafield>
    <datafield tag="700" ind1="1" ind2=" ">
      <subfield code="0">MAPA20080178185</subfield>
      <subfield code="a">Santos, Joost R.</subfield>
    </datafield>
    <datafield tag="773" ind1="0" ind2=" ">
      <subfield code="w">MAP20077000345</subfield>
      <subfield code="t">Risk analysis : an international journal</subfield>
      <subfield code="d">McLean, Virginia : Society for Risk Analysis, 1987-2015</subfield>
      <subfield code="x">0272-4332</subfield>
      <subfield code="g">01/06/2010 Tomo 30 Número 6  - 2010 , p. 962-974</subfield>
    </datafield>
  </record>
</collection>