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Making Decisions About Safety in US Ports and Waterways

Author

Listed:
  • Jason R. W. Merrick

    (Department of Statistical Sciences and Operations Research, Virginia Commonwealth University, PO Box 843083, 1001 West Main Street, Richmond, Virginia 23284)

  • John R. Harrald

    (Department of Engineering Management and Systems Engineering, George Washington University, 1776 G Street NW, Washington, DC 20052)

Abstract

The US Coast Guard (USCG) is charged with maintaining an acceptable level of safety in US ports and waterways. Allocating resources to solve safety problems is difficult because multiple attributes of a port or waterway affect its safety and determine whether a particular safety measure will improve it. We based the ports and waterways safety assessment (PAWSA) model on multiattribute decision analysis techniques and local experts’ and stakeholders’ assessments of safety levels and the effects safety alternatives would have on these levels. The USCG used the PAWSA model to justify funding for four new vessel traffic service centers and to determine new technology requirements for all commercial vessels using US waters. The USCG has adopted it as a permanent part of its safety management tool kit.

Suggested Citation

  • Jason R. W. Merrick & John R. Harrald, 2007. "Making Decisions About Safety in US Ports and Waterways," Interfaces, INFORMS, vol. 37(3), pages 240-252, June.
    • Handle: RePEc:inm:orinte:v:37:y:2007:i:3:p:240-252
    DOI: 10.1287/inte.1060.0258
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    References listed on IDEAS

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    Cited by:

    1. Ed Cook & Jason R. W. Merrick, 2023. "Technology Implementation at Capital One," Interfaces, INFORMS, vol. 53(3), pages 178-191, May.
    2. Thekdi, Shital A. & Aven, Terje, 2018. "A methodology to evaluate risk for supporting decisions involving alignment with organizational values," Reliability Engineering and System Safety, Elsevier, vol. 172(C), pages 84-93.
    3. Günay Uzun & Metin Dağdeviren & Mehmet Kabak, 2016. "Determining the Distribution of Coast Guard Vessels," Interfaces, INFORMS, vol. 46(4), pages 297-314, August.

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