A Data Driven Approach to Identify the Contributing Factors of Traffic Death in Low, Middle, and High- Income Countries

Road traffic crashes have been and will continue to be one of the primary causes of mortality all over the world. Globally, road traffic crashes have a widespread and devastating effect on public health and the global economy. According to The World Health Organization (WHO) [1], it is estimated that there are around 1.24 million people who die worldwide from traffic crashes. It is imperative to find out what factors contribute to the Traffic Death Rate (TDR).

This paper presents the finding of a study that used a data driven approach to identify the contributing factors of TDR in three groups of countries (low, medium, high) according to Gross National Income (GNI) per capita defined by WHO. By Traffic Death Rate (TDR), we define it as Number of Traffic/Number of Registered Vehicles.

This study intends to address the following research questions:

• Do TDRs have different patterns among the countries in three level of GNI?

• If yes, what are the main factors impacts to the TDRs positively or negatively? At what degree?

Based on the finding, recommendations aiming different types of countries will be made to make campaign to reduce TDR.