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Evaluating the economic and environmental impacts of road pavement using an integrated local sensitivity model

Assessing the life cycle economic and environmental impacts of road pavements is critical for achieving long-term sustainability in transport systems. Life cycle cost analysis (LCCA) and life cycle assessment (LCA) methods have been widely applied to the assessment of road pavements, however, there...

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Bibliographic Details
Published in:Journal of cleaner production 2022-10, Vol.371, p.133615, Article 133615
Main Authors: Qiao, Yaning, Wang, Zhiyue, Meng, Fanran, Parry, Tony, Cullen, Jonathan, Liu, Shu
Format: Article
Language:English
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Summary:Assessing the life cycle economic and environmental impacts of road pavements is critical for achieving long-term sustainability in transport systems. Life cycle cost analysis (LCCA) and life cycle assessment (LCA) methods have been widely applied to the assessment of road pavements, however, there is still a need to identify which approaches boost both economic and environmental benefits, simultaneously. This study develops an integrated LCCA-LCA method, which identifies and merges common inputs from LCCA and LCA models. A local sensitivity analysis is conducted to identify the most influential inputs in the integrated LCCA-LCA model, and to identify more effective measures to reduce both the costs and environmental impacts of pavements. The results show that only 10 inputs, of the 568 studied, affect both the LCCA and LCA results significantly. Important inputs leading to reduced environmental pollution with less life cycle cost include: traffic volume, road surface area, heavy-duty vehicle ratio, traffic speed, and other design parameters (standard normal deviates, combined standard error, asphalt layer thickness, base layer thickness, layer structural coefficients, and drainage coefficients). [Display omitted] •Integrated LCCA-LCA models for simultaneous cost and environmental analysis.•Only ten inputs (out of 568) significantly affect both the cost and environmental impacts.•Optimising AADT, surface area, HDV ratio and design speed for sustainability.
ISSN:0959-6526
1879-1786
DOI:10.1016/j.jclepro.2022.133615