Abstract
In the past decades, substantial studies have been conducted to investigate the risk factors contributing to road accidents. It has been shown that the frequency and severity of road accidents are associated with various factors, including traffic characteristics, road environment, and demographic characteristics. However, the causal link between traffic interventions and road accidents remains unclear due to the complex character of traffic interventions. The lack of formal causal models makes it difficult to fully address issues, such as confounding effects and regression to the mean bias. This study focuses on two issues that have been overlooked in the existing empirical literature: the establishment of the causal link between traffic interventions and road traffic accidents, and the application and development of formal causal approaches which have not been applied in the field of road safety.
About the author
Dr. Haojie Li is currently working as a research associate at Railway and Transport Strategy Centre, within the Centre for Transport Studies at Imperial College London. His research is primarily focused on causal analysis of impacts of traffic interventions on road casualties. Haojie holds Doctoral degree from Imperial College London, and his research interests include risk and road accident analysis, and statistical modeling for causal inference.