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Quantifying uncertainty in food waste across an urban area: The role of industrial, commercial, and institutional sectors
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DOI：10.1016/j.wasman.2026.115751.png)
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Abstract
En 中文
• A city-scale geospatial model maps food waste across ICI sectors. • Monte Carlo quantifies sectoral and spatial uncertainty from 3 building footprint datasets. • Model estimates Montreal’s ICI sectors generated 215 ± 8 kt yr−1 of food waste. • 6% of the area generates >50% of food waste; 83% from food services and retail. • The model supports targeted waste diversion policies in other cities.
Keywords:
CI
,
Confidence interval
FTE
,
Full-time equivalent employee
ICI
,
Industrial, commercial, and institutional sectors
NAICS
,
North American Industry Classification System
RSE
,
Relative standard error
SE
,
Standard error
STD
,
Standard deviation
Food waste
ICI sectors
Monte Carlo simulation
Building footprint
Spatial analysis
Waste management
Journal
IF:
7.1
Papers:
10.0K
Citations:
5.3W
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Cited Papers