Hu, S., Santi, P., Benson, T. et al. Ubiquitous data-driven framework for traffic emission estimation and policy evaluation. Nat Sustain
Objective:
- Propose a scalable mesoscopic framework that generates near-real-time, high resolution emission inventories without relying on comprehensive individual-level inputs
Case:
- Manhatten, USA
Methodology:
- Yolo
- MOVES: EPA emission model
Data Source
- Traffic cameras
- Mobile phone OD
Findings:
- The congestion pricing leads that 8 weeks after the implementation, traffic volumes declined by 10%, resulting in 16-22% drop in emissions
