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Life cycle assessment in road infrastructure planning using spatial geological data
Authors:Caroline Sharmilee Josefin Karlsson  Sofiia Miliutenko  Anna Björklund  Ulla Mörtberg  Bo Olofsson  Susanna Toller
Affiliation:1.Division of Land and Water Resources Engineering, Department of Sustainable Development, Environmental Science and Engineering,KTH Royal Institute of Technology,Stockholm,Sweden;2.Division of Environmental Strategies Research, Department of Sustainable Development, Environmental Science and Engineering,KTH Royal Institute of Technology,Stockholm,Sweden;3.Swedish Transport Administration,Stockholm,Sweden
Abstract:

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.
Keywords:
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