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    Roughness Optimization of Road Networks: An Option for Carbon Emission Reduction by 2030

    Source: Journal of Transportation Engineering, Part B: Pavements:;2020:;Volume ( 146 ):;issue: 004
    Author:
    Shafiq Alam
    ,
    Arun Kumar
    ,
    Les Dawes
    DOI: 10.1061/JPEODX.0000203
    Publisher: ASCE
    Abstract: The Paris climate agreement requires all nations to reduce greenhouse gas (GHG) emissions. Accordingly, countries have made ambitious targets to be achieved by 2030. Road transport as a major GHG contributor has been embraced by electric vehicle and renewable energy (EV&RE) initiatives to reduce emissions. However, the projected EV&RE penetration by 2030 is small in contributing to the emission reduction targets. On the other hand, life cycle carbon footprint assessment of road infrastructure identifies that rolling resistance due to road roughness contributes most of the GHG emissions. Reduction of networkwide roughness level is often difficult to achieve because of an ever-constrained funding regime. This study found that roughness level can be optimised with both carbon emission reduction and positive benefit-cost outcomes. This result may, therefore, help in achieving important road sector contributions toward 2030 emission reduction targets.
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      Roughness Optimization of Road Networks: An Option for Carbon Emission Reduction by 2030

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    contributor authorShafiq Alam
    contributor authorArun Kumar
    contributor authorLes Dawes
    date accessioned2022-01-30T21:21:28Z
    date available2022-01-30T21:21:28Z
    date issued12/1/2020 12:00:00 AM
    identifier otherJPEODX.0000203.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4268058
    description abstractThe Paris climate agreement requires all nations to reduce greenhouse gas (GHG) emissions. Accordingly, countries have made ambitious targets to be achieved by 2030. Road transport as a major GHG contributor has been embraced by electric vehicle and renewable energy (EV&RE) initiatives to reduce emissions. However, the projected EV&RE penetration by 2030 is small in contributing to the emission reduction targets. On the other hand, life cycle carbon footprint assessment of road infrastructure identifies that rolling resistance due to road roughness contributes most of the GHG emissions. Reduction of networkwide roughness level is often difficult to achieve because of an ever-constrained funding regime. This study found that roughness level can be optimised with both carbon emission reduction and positive benefit-cost outcomes. This result may, therefore, help in achieving important road sector contributions toward 2030 emission reduction targets.
    publisherASCE
    titleRoughness Optimization of Road Networks: An Option for Carbon Emission Reduction by 2030
    typeJournal Paper
    journal volume146
    journal issue4
    journal titleJournal of Transportation Engineering, Part B: Pavements
    identifier doi10.1061/JPEODX.0000203
    page15
    treeJournal of Transportation Engineering, Part B: Pavements:;2020:;Volume ( 146 ):;issue: 004
    contenttypeFulltext
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