Rolling resistance contribution to a road pavement life cycle carbon footprint analysis
Purpose Although the impact of road pavement surface condition on rolling resistance has been included in the life cycle assessment (LCA) framework of several studies in the last years, there is still a high level of uncertainty concerning the methodological assumptions and the parameters that ca...
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| Format: | Article |
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Springer
2017
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| Online Access: | https://eprints.nottingham.ac.uk/37707/ |
| _version_ | 1848795515989262336 |
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| author | Trupia, Laura Parry, Tony Neves, Luís C. Lo Presti, Davide |
| author_facet | Trupia, Laura Parry, Tony Neves, Luís C. Lo Presti, Davide |
| author_sort | Trupia, Laura |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Purpose
Although the impact of road pavement surface condition on rolling resistance has been included in the life cycle assessment (LCA) framework of several studies in the last years, there is still a high level of uncertainty concerning the methodological assumptions and the parameters that can affect the results. In order to adopt pavement carbon footprint/LCA as a decision-making tool, it is necessary to explore the impact of the chosen methods and assumptions on the LCA results.
Methods
This paper provides a review of the main models describing the impact of the pavement surface properties on vehicle fuel consumption and analyses the influence of the methodological assumptions related to the rolling resistance on the LCA results. It compares the CO2 emissions, calculated with two different rolling resistance models existing in literature, and performs a sensitivity test on some specific input variables (pavement deterioration rate, traffic growth, and emission factors/fuel efficiency improvement).
Results and discussion
The model used to calculate the impact of the pavement surface condition on fuel consumption significantly affects the LCA results. The pavement deterioration rate influences the calculation in both models, while traffic growth and fuel efficiency improvement have a limited impact on the vehicle CO2 emissions resulting from the pavement condition contribution to rolling resistance.
Conclusions and recommendations
Existing models linking pavement condition to rolling resistance and hence vehicle emissions are not broadly applicable to the use phase of road pavement LCA and further research is necessary before a widely-used methodology can be defined. The methods of modelling and the methodological assumptions need to be transparent in the analysis of the impact of the pavement surface condition on fuel consumption, in order to be interpreted by decision makers and implemented in an LCA framework. This will be necessary before product category rules (PCR) for pavement LCA can be extended to include the use phase. |
| first_indexed | 2025-11-14T19:33:19Z |
| format | Article |
| id | nottingham-37707 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:33:19Z |
| publishDate | 2017 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-377072020-05-04T18:53:38Z https://eprints.nottingham.ac.uk/37707/ Rolling resistance contribution to a road pavement life cycle carbon footprint analysis Trupia, Laura Parry, Tony Neves, Luís C. Lo Presti, Davide Purpose Although the impact of road pavement surface condition on rolling resistance has been included in the life cycle assessment (LCA) framework of several studies in the last years, there is still a high level of uncertainty concerning the methodological assumptions and the parameters that can affect the results. In order to adopt pavement carbon footprint/LCA as a decision-making tool, it is necessary to explore the impact of the chosen methods and assumptions on the LCA results. Methods This paper provides a review of the main models describing the impact of the pavement surface properties on vehicle fuel consumption and analyses the influence of the methodological assumptions related to the rolling resistance on the LCA results. It compares the CO2 emissions, calculated with two different rolling resistance models existing in literature, and performs a sensitivity test on some specific input variables (pavement deterioration rate, traffic growth, and emission factors/fuel efficiency improvement). Results and discussion The model used to calculate the impact of the pavement surface condition on fuel consumption significantly affects the LCA results. The pavement deterioration rate influences the calculation in both models, while traffic growth and fuel efficiency improvement have a limited impact on the vehicle CO2 emissions resulting from the pavement condition contribution to rolling resistance. Conclusions and recommendations Existing models linking pavement condition to rolling resistance and hence vehicle emissions are not broadly applicable to the use phase of road pavement LCA and further research is necessary before a widely-used methodology can be defined. The methods of modelling and the methodological assumptions need to be transparent in the analysis of the impact of the pavement surface condition on fuel consumption, in order to be interpreted by decision makers and implemented in an LCA framework. This will be necessary before product category rules (PCR) for pavement LCA can be extended to include the use phase. Springer 2017-06-30 Article PeerReviewed Trupia, Laura, Parry, Tony, Neves, Luís C. and Lo Presti, Davide (2017) Rolling resistance contribution to a road pavement life cycle carbon footprint analysis. International Journal of Life Cycle Assessment, 22 (6). pp. 972-985. ISSN 1614-7502 Carbon footprint; greenhouse gas (GHG) emissions; LCA; rolling resistance; pavement surface properties http://link.springer.com/article/10.1007/s11367-016-1203-9 doi:10.1007/s11367-016-1203-9 doi:10.1007/s11367-016-1203-9 |
| spellingShingle | Carbon footprint; greenhouse gas (GHG) emissions; LCA; rolling resistance; pavement surface properties Trupia, Laura Parry, Tony Neves, Luís C. Lo Presti, Davide Rolling resistance contribution to a road pavement life cycle carbon footprint analysis |
| title | Rolling resistance contribution to a road pavement life cycle carbon footprint analysis |
| title_full | Rolling resistance contribution to a road pavement life cycle carbon footprint analysis |
| title_fullStr | Rolling resistance contribution to a road pavement life cycle carbon footprint analysis |
| title_full_unstemmed | Rolling resistance contribution to a road pavement life cycle carbon footprint analysis |
| title_short | Rolling resistance contribution to a road pavement life cycle carbon footprint analysis |
| title_sort | rolling resistance contribution to a road pavement life cycle carbon footprint analysis |
| topic | Carbon footprint; greenhouse gas (GHG) emissions; LCA; rolling resistance; pavement surface properties |
| url | https://eprints.nottingham.ac.uk/37707/ https://eprints.nottingham.ac.uk/37707/ https://eprints.nottingham.ac.uk/37707/ |