Zhang, Y., Hong, Y., Gao, S. et al. Bidirectional yet asymmetric causality between urban systems and traffic dynamics in 30 cities worldwide. Nat Commun
Objective:
- Propose a spatio-temporal causality framework that bridges correlation and causation by identifying bidirectional causal relationships between urban systems and traffic dynamics
Case:
- Global cities
Methodology:
- STCCM
Data Source
- TomTom congestion
Findings:
- Asymmetric bidirectional causality, with urban systems exterting stronger influences on traffic dynamics than reverse in most cities
