geopolrisk-py : A Python-Based Library to Operationalize the Geopolitical Supply Risk Method for use in Life Cycle Assessment and Comparative Risk Assessment

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00009391
URN to cite this document: urn:nbn:de:bvb:703-epub-9391-0

Title data

Koyamparambath, Anish ; Schraml, Thomas ; Helbig, Christoph ; Sonnemann, Guido:
geopolrisk-py : A Python-Based Library to Operationalize the Geopolitical Supply Risk Method for use in Life Cycle Assessment and Comparative Risk Assessment.
In: Journal of Open Source Software. Vol. 11 (2026) Issue 118 . - 9600.
ISSN 2475-9066
DOI der Verlagsversion: https://doi.org/10.21105/joss.09600

	Format: PDF Name: A Pythin-Based Library to Operationalize.pdf Version: Published Version Available under License Creative Commons BY 4.0: Attribution
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Abstract

The Geopolitical Supply Risk (GeoPolRisk) method estimates the likelihood that supplies of a given raw material may be disrupted due to political instability in producing countries and high concentration of global production. It is used in life cycle assessment (LCA) and in comparative risk assessments to complement environmental indicators with a supply-risk perspective. In practice, applying the method can be technically demanding, as it requires combining trade data, production statistics, governance indicators, and price information to compute supply risk scores and characterization factors. The geopolrisk-py library operationalizes the GeoPolRisk method by automating these calculations in a transparent and reproducible manner. It takes structured inputs such as raw material names, countries or economic units, and reference years, and produces supply risk scores and characterization factors (CF)s for LCA. The library is intended for life cycle assessment practitioners, materials scientists, and risk analysts in industry and the public sector, and supports applications ranging from national and regional assessments to company specific supply risk analyses. Future developments include the integration of uncertainty analysis and tighter coupling with the Brightway 2.5 framework to further enhance functionality and usability.

Further data

Item Type:	Article in a journal
Keywords:	Criticality LCA Imports; Raw material; Market concentration; Abiotic Resources
DDC Subjects:	000 Computer Science, information, general works 500 Science 500 Science > 500 Natural sciences 600 Technology, medicine, applied sciences 600 Technology, medicine, applied sciences > 620 Engineering
Institutions of the University:	Faculties Faculties > Faculty of Engineering Science Faculties > Faculty of Engineering Science > Lehrstuhl Ökologische Ressourcentechnologie Faculties > Faculty of Engineering Science > Lehrstuhl Ökologische Ressourcentechnologie > Lehrstuhl Ökologische Ressourcentechnologie - Univ.-Prof. Dr.-Ing. Christoph Helbig
Language:	English
Originates at UBT:	Yes
URN:	urn:nbn:de:bvb:703-epub-9391-0
Date Deposited:	10 Jun 2026 10:27
Last Modified:	10 Jun 2026 10:29
URI:	https://epub.uni-bayreuth.de/id/eprint/9391

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