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Life cycle assessment in road infrastructure planning using spatial geological data
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Land and Water Resources Engineering.ORCID iD: 0000-0002-3614-671X
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Environmental Strategies Research (fms).ORCID iD: 0000-0001-7040-4623
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Environmental Strategies Research (fms).ORCID iD: 0000-0002-5535-6368
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Land and Water Resources Engineering. (Environmental Management and Assessment)ORCID iD: 0000-0002-1640-8946
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2017 (English)In: The International Journal of Life Cycle Assessment, ISSN 0948-3349, E-ISSN 1614-7502, Vol. 22, no 8, p. 1302-1317Article in journal (Refereed) Published
Abstract [en]

Purpose: The purpose of the study was to outline and demonstrate a new geographic information system (GIS)-based approach for utilising spatial geological data in three dimensions (i.e. length, width and depth) to improve estimates on earthworks during early stages of road infrastructure planning. Methods: This was undertaken by using three main methodological steps: mass balance calculation, life cycle inventory analysis and spatial mapping of greenhouse gas (GHG) emissions and energy use. The mass balance calculation was undertaken in a GIS environment using two assumptions of geological stratigraphy for two proposed alternative road corridors in Sweden. The estimated volumes of excavated soil, blasted rock and filling material were later multiplied with the GHG emission and energy use factors for these processes, to create spatial data and maps in order to show potential impacts of the studied road corridors. The proposed GIS-based approach was evaluated by comparing with actual values received after one alternative was constructed. Results and discussion: The results showed that the estimate of filling material was the most accurate (about 9 % deviation from actual values), while the estimate for excavated soil and blasted rock resulted in about 38 and 80 % deviation, respectively, from the actual values. It was also found that the total volume of excavated and ripped soils did not change when accounting for stratigraphy. Conclusions: The conclusion of this study was that more information regarding embankment height and actual soil thickness would further improve the model, but the proposed GIS-based approach shows promising results for usage in LCA at an early stage of road infrastructure planning. Thus, by providing better data quality, GIS in combination with LCA can enable planning for a more sustainable transport infrastructure.

Place, publisher, year, edition, pages
Springer, 2017. Vol. 22, no 8, p. 1302-1317
Keywords [en]
Energy, Geology, GHG emissions, GIS, LCA, Mass balance, Road, Stratigraphy
National Category
Environmental Sciences
Research subject
Land and Water Resources Engineering
Identifiers
URN: urn:nbn:se:kth:diva-197305DOI: 10.1007/s11367-016-1241-3ISI: 000405292800012Scopus ID: 2-s2.0-85010809681OAI: oai:DiVA.org:kth-197305DiVA, id: diva2:1051435
Funder
Swedish Research Council FormasStandUp
Note

QC 20170118

Available from: 2016-12-01 Created: 2016-12-01 Last updated: 2017-08-02Bibliographically approved

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Publisher's full textScopushttps://dx.doi.org/10.1007/s11367-016-1241-3

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Karlsson, CarolineMiliutenko, SofiiaBjörklund, Anna

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