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Global Road-Network Tire-Wear Particle Emissions - Code and Data Repository

Zenodo (CERN European Organization for Nuclear Research) 2026
Jing Song, Ce Wang, Kailan Tian, P Wang, Guofeng Shen, J Y Zhao, Qi Xu, Luis Miguel Nunes, G Y Li

Summary

Every time car and truck tires roll down the road, they shed tiny particles of rubber and chemicals that wash into soil, rivers, and wildlife habitats—and this study maps where that pollution is heaviest worldwide, finding rural and wild areas near major roads are surprisingly at risk, not just cities. While this research centers on ecosystems, it's a reminder that these same tire particles are a form of microplastic pollution that can travel through water and air, raising ongoing questions about human exposure too. Notably, switching to electric vehicles alone won't solve the problem, since EVs are heavier and can produce similar or greater

Companion code and processed data for: 'Global biodiversity threat from extra-urban tire-wear pollution' (Song et al.). Includes: Monte Carlo emission inventory pipeline (baseline + EV100 scenario), ecological exposure vulnerability (EEV) calculation scripts, and Source_Data.xlsx with all processed outputs underlying manuscript figures and tables. See README.md for execution order, dependencies, and input data sources.

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