. Author manuscript; available in PMC: 2020 Oct 28.

Published in final edited form as: Int J Life Cycle Assess. 2019 May 1;24(5):856–865. doi: 10.1007/s11367-018-1539-4

Table 1 –

Survey questions

Meta information	LCIA method name
	Contact person
	Midpoint or endpoint (damage) modelling
	Impact category (water scarcity, land occupation, etc.)
Spatial resolution and scale	Spatial coverage (global, country level, etc.)
Spatial resolution and scale	Description of the chosen native spatial resolution: use of spatial differentiation or archetype?
Spatial resolution for input parameters in the LCIA model	Fate factor
Spatial resolution for input parameters in the LCIA model	Effect factor
Improvements/Limitations - Short term (interim approach) - overall (directional)	How was the native spatial resolution chosen?
	Was the chosen native spatial resolution compared with alternatives?
	Would a finer native spatial resolution be preferred?
	Is a finer native spatial resolution the best way to reduce overall uncertainties?
	Would a finer native spatial resolution be operational?
Operationalization	Did you try to align the LCIA spatial resolution with the spatial resolution of available inventory data?
	To which spatial resolutions was the aggregation performed?
	What method used for spatial aggregation, if any?
	Which aggregation scale would you recommend?
Uncertainty assessment	Was basic uncertainty from input parameters assessed?
	Was basic uncertainty from the model structure assessed?
	Was spatial variability due to spatial aggregation assessed?