TITLE:
Analysis of Global Road Traffic Death Data Using a Clustering Approach
AUTHORS:
Utpal Dutta, Xiaohui Zhong, Nouri Gsouda
KEYWORDS:
Global Traffic Death, Clusters, Determinants, Regression, Socio-Economic Factors
JOURNAL NAME:
Current Urban Studies,
Vol.10 No.2,
June
16,
2022
ABSTRACT: 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.