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dc.contributor.authorShafiq Alam
dc.contributor.authorArun Kumar
dc.contributor.authorLes Dawes
dc.date.accessioned2022-01-30T21:21:28Z
dc.date.available2022-01-30T21:21:28Z
dc.date.issued12/1/2020 12:00:00 AM
dc.identifier.otherJPEODX.0000203.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4268058
dc.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.
dc.publisherASCE
dc.titleRoughness Optimization of Road Networks: An Option for Carbon Emission Reduction by 2030
dc.typeJournal Paper
dc.journal.volume146
dc.journal.issue4
dc.journal.titleJournal of Transportation Engineering, Part B: Pavements
dc.identifier.doi10.1061/JPEODX.0000203
dc.page15
dc.treeJournal of Transportation Engineering, Part B: Pavements:;2020:;Volume ( 146 ):;issue: 004
dc.contenttypeFulltext


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