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    Project-Level Sustainable Asphalt Roadway Treatment Selection Framework Featuring a Flowchart and Analytic Network Process

    Source: Journal of Transportation Engineering, Part B: Pavements:;2020:;Volume ( 146 ):;issue: 003
    Author:
    Baris Salman
    ,
    Ossama Salem
    ,
    Song He
    DOI: 10.1061/JPEODX.0000202
    Publisher: ASCE
    Abstract: Sustainable development is one of the most widely studied contemporary issues in the transportation sector. However, few of the existing project-level, sustainability-oriented decision tools account for complex interdependencies between elements of the triple bottom line of sustainability. To address this gap, this paper proposes a decision flowchart that covers sustainable treatment alternatives for asphalt roadways and an analytic network process (ANP)-based treatment technique evaluation model that considers technical, economic, social, and environmental factors and their interdependencies. A survey of state departments of transportation (DOTs) was conducted to collect background information and inputs for the ANP model. Research deliverables were validated through an interview with officials at the New York State DOT along with two demonstration case studies based on real-world roadway rehabilitation projects. It was concluded that the proposed decision framework generates rational recommendations and can be effective in establishing quick and reliable decision-making procedures for sustainable asphalt roadway treatment selection. This work is expected to contribute to the body of knowledge on how to make decisions under complex and interdependent factors from sustainability perspectives.
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      Project-Level Sustainable Asphalt Roadway Treatment Selection Framework Featuring a Flowchart and Analytic Network Process

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4268057
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    • Journal of Transportation Engineering, Part B: Pavements

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    contributor authorBaris Salman
    contributor authorOssama Salem
    contributor authorSong He
    date accessioned2022-01-30T21:21:27Z
    date available2022-01-30T21:21:27Z
    date issued9/1/2020 12:00:00 AM
    identifier otherJPEODX.0000202.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4268057
    description abstractSustainable development is one of the most widely studied contemporary issues in the transportation sector. However, few of the existing project-level, sustainability-oriented decision tools account for complex interdependencies between elements of the triple bottom line of sustainability. To address this gap, this paper proposes a decision flowchart that covers sustainable treatment alternatives for asphalt roadways and an analytic network process (ANP)-based treatment technique evaluation model that considers technical, economic, social, and environmental factors and their interdependencies. A survey of state departments of transportation (DOTs) was conducted to collect background information and inputs for the ANP model. Research deliverables were validated through an interview with officials at the New York State DOT along with two demonstration case studies based on real-world roadway rehabilitation projects. It was concluded that the proposed decision framework generates rational recommendations and can be effective in establishing quick and reliable decision-making procedures for sustainable asphalt roadway treatment selection. This work is expected to contribute to the body of knowledge on how to make decisions under complex and interdependent factors from sustainability perspectives.
    publisherASCE
    titleProject-Level Sustainable Asphalt Roadway Treatment Selection Framework Featuring a Flowchart and Analytic Network Process
    typeJournal Paper
    journal volume146
    journal issue3
    journal titleJournal of Transportation Engineering, Part B: Pavements
    identifier doi10.1061/JPEODX.0000202
    page11
    treeJournal of Transportation Engineering, Part B: Pavements:;2020:;Volume ( 146 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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