Author(s)

Utpal Dutta^1*, Xiaohui Zhong², Nouri Gsouda¹

¹Department of Civil, Architectural & Environmental Engineering, Detroit, USA.
²Department of Mathematics, University of Detroit Mercy, Detroit, USA.

Three years of global traffic death data were analyzed to identify significant socio-economic determinants of global traffic death. Due to wide variation of data elements, the collected data were standardized and then four clusters namely Medium, Low, High and Medium-High were formed. The stepwise regression analysis method was used to find significant determinants. Proportion of urban population, alcohol, number of registered vehicles per million of population and human development index were appeared as significant determinants. However, income was noticed as a significant variable in the case of only cluster Low. The involvement of older drivers in traffic death incident was very low.

Global Traffic Death, Clusters, Determinants, Regression, Socio-Economic Factors

Dutta, U. , Zhong, X. and Gsouda, N. (2022) Analysis of Global Road Traffic Death Data Using a Clustering Approach. Current Urban Studies, 10, 275-292. doi: 10.4236/cus.2022.102017.