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

Alam, Shafiq, Kumar, Arun, & (2020) Roughness Optimization of Road Networks: An Option for Carbon Emission Reduction by 2030. Journal of Transportation Engineering Part B: Pavements, 146(4), Article number: 04020062.

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Description

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.

Impact and interest:

3 citations in Scopus
2 citations in Web of Science®
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ID Code: 210490
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Dawes, Lesorcid.org/0000-0003-2329-5940
Measurements or Duration: 15 pages
Keywords: Asset management, Carbon footprint, Climate change, Economic analysis, Road roughness
DOI: 10.1061/JPEODX.0000203
ISSN: 2573-5438
Pure ID: 84603367
Divisions: Current > Research Centres > Centre for the Environment
Past > QUT Faculties & Divisions > Science & Engineering Faculty
Current > QUT Faculties and Divisions > Faculty of Science
Current > Schools > School of Civil & Environmental Engineering
Copyright Owner: 2020 American Society of Civil Engineers
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Deposited On: 20 May 2021 01:21
Last Modified: 03 Aug 2024 07:39