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Prioritizing Infrastructure Investments in Afghanistan with Multiagency Stakeholders and Deep Uncertainty of Emergent Conditions.

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Title: Prioritizing Infrastructure Investments in Afghanistan with Multiagency Stakeholders and Deep Uncertainty of Emergent Conditions.
Authors: Lambert, James H.1 lambert@virginia.edu, Karvetski, Christopher W.2, Spencer, David K.3, Sotirin, Barbara J.4, Liberi, Dawn M.5, Zaghloul, Hany H.6, Koogler, John B.7, Hunter, Samuel L.6, Goran, William D.6, Ditmer, Renae D.8, Linkov, Igor9 Igor.Linkov@usace.army.mil
Source: Journal of Infrastructure Systems. Jun2012, Vol. 18 Issue 2, p155-166. 12p.
Subjects: Transportation, Telecommunication, Decision making, Multiple criteria decision making, Systems engineering
Geographic Terms: Afghanistan
Abstract: The Afghanistan National Development Strategy identified billions of dollars of needs for transportation, water, energy, telecommunications, and other necessary infrastructure development for the rebuilding of Afghanistan. With economic sustainability as a primary aim, the coordination and prioritization of investments has been a challenge in part because of Afghanistan's volatile security situation along with the intricacies of the negotiating and coordinating efforts of numerous stakeholders. An understanding of the contributions of infrastructure systems and associated projects to the national development strategy is needed. This paper formulates a scenario-informed multicriteria approach to prioritize major project investments for infrastructure development subject to deep, nonprobabilistic uncertainties. The methods are inclusive of stakeholder values and accounts for deep uncertainties in governance, security, economy, environment, workforce, and other topics. The methods are applied in Afghanistan's Nangarhar province to assist in the selection among twenty-seven candidate infrastructure projects that are vulnerable to potential refugee immigration among other emergent conditions. The paper describes the relationships of selected projects to strategic goals while facilitating collaboration among government and nongovernment investors, donors, technologists, and other stakeholders. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Infrastructure Systems is the property of American Society of Civil Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
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  Data: <searchLink fieldCode="DE" term="%22Transportation%22">Transportation</searchLink><br /><searchLink fieldCode="DE" term="%22Telecommunication%22">Telecommunication</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+criteria+decision+making%22">Multiple criteria decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Systems+engineering%22">Systems engineering</searchLink>
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  Data: The Afghanistan National Development Strategy identified billions of dollars of needs for transportation, water, energy, telecommunications, and other necessary infrastructure development for the rebuilding of Afghanistan. With economic sustainability as a primary aim, the coordination and prioritization of investments has been a challenge in part because of Afghanistan's volatile security situation along with the intricacies of the negotiating and coordinating efforts of numerous stakeholders. An understanding of the contributions of infrastructure systems and associated projects to the national development strategy is needed. This paper formulates a scenario-informed multicriteria approach to prioritize major project investments for infrastructure development subject to deep, nonprobabilistic uncertainties. The methods are inclusive of stakeholder values and accounts for deep uncertainties in governance, security, economy, environment, workforce, and other topics. The methods are applied in Afghanistan's Nangarhar province to assist in the selection among twenty-seven candidate infrastructure projects that are vulnerable to potential refugee immigration among other emergent conditions. The paper describes the relationships of selected projects to strategic goals while facilitating collaboration among government and nongovernment investors, donors, technologists, and other stakeholders. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Infrastructure Systems is the property of American Society of Civil Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1061/(ASCE)IS.1943-555X.0000078
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 155
    Subjects:
      – SubjectFull: Transportation
        Type: general
      – SubjectFull: Telecommunication
        Type: general
      – SubjectFull: Decision making
        Type: general
      – SubjectFull: Multiple criteria decision making
        Type: general
      – SubjectFull: Systems engineering
        Type: general
      – SubjectFull: Afghanistan
        Type: general
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      – TitleFull: Prioritizing Infrastructure Investments in Afghanistan with Multiagency Stakeholders and Deep Uncertainty of Emergent Conditions.
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              Text: Jun2012
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