6
The Great Run Company
2025 Environmental Report
Standards, Boundary & Methodology
Emission Factors and Data Sources We utilise DESNZ (formerly DEFRA) 2025 conversion factors as our primary standard for fuel, energy, transport, and waste. However, to ensure high accuracy for our specialised procurement, we integrate the following specific datasets: • Apparel & Textiles: Calculated using Decathlon’s Open Source Environmental Data , matching items by material composition (e.g., 100% Polyester) and weight to the closest equivalent product. We also utilise specific LCAs from supplier brands where available. • Food & Drink: Menu impacts are calculated using industry- standard Food Carbon Databases to account for ingredient- level emissions (e.g. beef vs. plant-based proteins). • Branding & Signage: Emissions for rigid signage are derived from official Correx LCAs , while printed letters and brochures utilise Marketreach LCAs . • Fuel and Energy-Related Activities: Calculations for grid- supplied energy include Transmission & Distribution (T&D) factors to account for the energy lost during delivery to the event site. These figures represent “at-the-plug” and distribution impact only and do not include Well-to-Tank (WTT) upstream extraction or refining emissions. Materiality Screen & Data Quality/Uncertainty Expanded Uncertainty Statement: We comply with the GHG Protocol’s ‘Completeness’ and ‘Accuracy’ principles by
Materiality Screen & Data Quality/Uncertainty We apply a materiality threshold of 1%. We rate our data quality as follows:
disclosing specific areas of lower certainty within our Scope 3 inventory:
• Waste Measurement Gaps: Waste data is subject to uncertainty due to estimated onsite volumes and a lack of downstream treatment verification from contractors. In line with the GHG Protocol’s ‘Conservativeness’ principle , we address these gaps by defaulting to the worst-case emission factor (e.g., Landfill) whenever specific treatment evidence is missing. This ensures our reported footprint is robust and never underestimated. • Supplier Constraints : Where suppliers fail to return data templates, their associated travel and accommodation emissions are excluded from the inventory. We do not use estimates for these gaps, as without specific data on vehicle types, distances, and staff numbers, such calculations would be too inaccurate. We therefore prioritise accuracy over completeness, reporting only verified supplier activity. • Participant Extrapolation: Participant travel is modelled using registration postcodes to establish exact origins and distances (UK or Overseas). Transport modes are then assigned using a standardised methodology that combines distance logic with “mode of travel” data from our post-event surveys, rather than relying on simple survey extrapolation alone.
Emission Factor Source
Data Source (Activity Data)
ISO/GHG Certainty Notes
DQS
Category
Standard: DEFRA/ DESNZ
1 (High)
Primary: Auto- meter & Fuel logs
High Certainty.
Energy (HQ & Events)
Standard: DEFRA/ DESNZ
1 (High)
Primary: Expense claims
Staff Travel
High Certainty.
Proxy: Decathlon “Best Match”
2 (Good)
Moderate Certainty (Technological Representativeness).
Primary: Invoices
Kit & Clothing
Standard: DEFRA/ DESNZ
3 (Fair)
Statistical Uncertainty (Extrapolation).
Modelled: Survey
Participant Travel
Standard: DEFRA/ DESNZ
4 (Low)
Completeness Error (Non-response).
Secondary: Self-reported
Supplier Travel
Standard: DEFRA/ DESNZ
4 (Low)
Measurement Error (Missing weights).
Secondary: Contractor reports
Waste
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