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What is CUET Abstract about?

This study develops a low-cost, uncertainty-aware transport emission inventory framework for Dhaka, utilizing Monte Carlo simulations to quantify uncertainty in vehicle exhaust emissions from 2021 to 2025. It finds significant increases in NOx and CO emissions, with emission factors contributing over 65% to the total variance, and emphasizes the need for targeted measurement campaigns for motorcycles and trucks. The framework supports evidence-based policy design and aligns with Sustainable Development Goal

Author

KNOWLEDGE HUB

Language

EN