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An improved pavement maintenance optimization methodology: Integrating LCA and LCCA

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  • Yu, Bin
  • Lu, Qing
  • Xu, Jian

Abstract

Environmental damage cost (EDC) is traditionally ignored in the pavement cost evaluation. This study used a combined life cycle assessment–life cycle cost analysis (LCA–LCCA) model to optimize the pavement maintenance plans with the incorporation of EDC. The paper introduced a comprehensive LCA methodology in pavement field, estimated the marginal damage costs of various air pollutants, and developed an algorithm to link LCA model and LCCA model. A case study of three overlay systems, Portland cement concrete (PCC) overlay, hot mix asphalt (HMA) overlay, and crack, seat, and overlay (CSOL), was presented. The findings through the study include: the EDC occupies a significant portion of the overall costs; the developed LCA–LCCA model is effective in reducing both the energy consumption/greenhouse gas emission ranging from 8.2% to 12.3% and the overall costs ranging from 5.9% to 10.2% for the three overlay designs, respectively; it is reasonable to expect smaller environmental burdens and less overall costs for the PCC and CSOL options as opposed to the HMA option although comparisons of the former two are indeterminate due to the great uncertainties in the usage module.

Suggested Citation

  • Yu, Bin & Lu, Qing & Xu, Jian, 2013. "An improved pavement maintenance optimization methodology: Integrating LCA and LCCA," Transportation Research Part A: Policy and Practice, Elsevier, vol. 55(C), pages 1-11.
    • Handle: RePEc:eee:transa:v:55:y:2013:i:c:p:1-11
    DOI: 10.1016/j.tra.2013.07.004
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    References listed on IDEAS

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    1. Tol, Richard S. J., 2005. "The marginal damage costs of carbon dioxide emissions: an assessment of the uncertainties," Energy Policy, Elsevier, vol. 33(16), pages 2064-2074, November.
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    1. Wesam Salah Alaloul & Muhammad Altaf & Muhammad Ali Musarat & Muhammad Faisal Javed & Amir Mosavi, 2021. "Systematic Review of Life Cycle Assessment and Life Cycle Cost Analysis for Pavement and a Case Study," Sustainability, MDPI, vol. 13(8), pages 1-38, April.
    2. Shih-Hsien Yang & Jack Yen Hung Liu & Nam Hoai Tran, 2018. "Multi-Criteria Life Cycle Approach to Develop Weighting of Sustainability Indicators for Pavement," Sustainability, MDPI, vol. 10(7), pages 1-18, July.
    3. Qiao, Julie Yu & Du, Runjia & Labi, Samuel & Fricker, Jon D. & Sinha, Kumares C., 2021. "Policy implications of standalone timing versus holistic timing of infrastructure interventions: Findings based on pavement surface roughness," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 79-99.
    4. Xinhua Mao & Changwei Yuan & Jiahua Gan, 2019. "Incorporating Dynamic Traffic Distribution into Pavement Maintenance Optimization Model," Sustainability, MDPI, vol. 11(9), pages 1-15, April.
    5. Li, Sirui & Liu, Ying & Wang, Pengfei & Liu, Peng & Meng, Jun, 2020. "A novel approach for predicting urban pavement damage based on facility information: A case study of Beijing, China," Transport Policy, Elsevier, vol. 91(C), pages 26-37.
    6. Harvey, John & Kendall, Alissa & Saboori, Arash, 2015. "The Role of Life Cycle Assessment in Reducing Greenhouse Gas Emissions from Road Construction and Maintenance," Institute of Transportation Studies, Working Paper Series qt89w5g2h6, Institute of Transportation Studies, UC Davis.
    7. Peyman Babashamsi & Nur Izzi Md Yusoff & Halil Ceylan & Nor Ghani Md Nor & Hashem Salarzadeh Jenatabadi, 2016. "Sustainable Development Factors in Pavement Life-Cycle: Highway/Airport Review," Sustainability, MDPI, vol. 8(3), pages 1-21, March.

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