Association rule analysis of factors contributing to extraordinarily severe traffic crashes in China.

INTRODUCTION

This study aimed to investigate the contributing factors to serious casualty traffic crashes and their interdependency in China. Serious casualty crashes are defined as crashes that lead to more than 10 deaths.

METHOD

The data of serious casualty crashes between 2009 and 2013 were obtained from the Annual Report for Road Traffic Accidents published by the Ministry of Public Security of China (MPSC). Descriptive statistics were used to illustrate the characteristics of serious casualty crashes in terms of road user behavior, vehicle conditions, geometric characteristics, and environmental conditions. The association rule mining technique was further applied to identify sets of crash contributory factors that often occur together in serious casualty crashes.

RESULTS

The results showed that serious casualty crashes are a result of complex interactions between road user behavior, vehicle factors, road geometric characteristics, and environmental factors. Association rule analysis revealed the reasons for the occurrence of serious casualty crashes in different circumstances, based on which potential policy implications for preventing serious casualty crashes were identified.

PRACTICAL APPLICATIONS

The results of this study can provide transportation agencies with useful insights for understanding why serious casualty crashes occur and developing effective policy initiatives and engineering countermeasures to reduce the fatalities and injuries of serious casualty crashes.