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A model to reduce earthmoving impacts

    Hassanean S. H. Jassim   Affiliation
    ; Jan Krantz Affiliation
    ; Weizhuo Lu Affiliation
    ; Thomas Olofsson   Affiliation

Abstract

Meeting increasingly ambitious carbon regulations in the construction industry is particularly challenging for earthmoving operations due to the extensive use of heavy-duty diesel equipment. Better planning of operations and balancing of competing demands linked to environmental concerns, costs, and duration is needed. However, existing approaches (theoretical and practical) rarely address all of these demands simultaneously, and are often limited to parts of the process, such as earth allocation methods or equipment allocation methods based on practitioners’ past experience or goals. Thus, this study proposes a method that can integrate multiple planning techniques to maximize mitigation of project impacts cost-effectively, including the noted approaches together with others developed to facilitate effective decision-making. The model is adapted for planners and contractors to optimize mass flows and allocate earthmoving equipment configurations with respect to tradeoffs between duration, cost, CO2 emissions, and energy use. Three equipment allocation approaches are proposed and demonstrated in a case study. A rule-based approach that allocates equipment configurations according to hauling distances provided the best-performing approach in terms of costs, CO2 emissions, energy use and simplicity (which facilitates practical application at construction sites). The study also indicates that trucks are major contributors to earthmoving operations’ costs and environmental impacts.

Keyword : earthmoving operations, optimization framework, optimum configuration, tradeoff duration, cost, emissions

How to Cite
Jassim, H. S. H., Krantz, J., Lu, W., & Olofsson, T. (2020). A model to reduce earthmoving impacts. Journal of Civil Engineering and Management, 26(6), 490-512. https://doi.org/10.3846/jcem.2020.12641
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Jun 8, 2020
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This work is licensed under a Creative Commons Attribution 4.0 International License.

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