Citation

Maji A, Velaga NR, Urie Y. Int. J. Inj. Control Safe. Promot. 2018; 25(3): 257-271.

Affiliation

ENTPE - Ecole Nationale des Travaux Publics de l'Etat (National Graduate School of Sustainable Civil Engineering, Transport and Planning in Lyon), Vaulx en Velin , France.

Copyright

(Copyright © 2018, Informa - Taylor and Francis Group)

DOI

10.1080/17457300.2017.1416485

PMID

29282994

Abstract

Hierarchical clustering analysis framework is developed to identify benchmark and critical regions for effective road safety strategies. The regions are grouped based on agglomeration coefficient of mutually exclusive crash causation parameters. Subsequently, regions from groups with lower than a threshold index value are selected as benchmark for the poorly performing critical counterparts. Euclidean distance-based Ward's, median and centroid clustering techniques are explored through a case study of Indian states and Union Territories. As per data between 2006 and 2015, fatal crash percentages of driving under influence of drug and alcohol, excessive speeding, vehicle malfunction and road conditions related crash causation parameters, severity index and its growth rate are assessed based on respective threshold values of 6.35%, 43.28%, 2.42%, 1.79%, 26.7 and 3.1%. These are the national average of respective indices. It demonstrated the unique application of hierarchical clustering analysis in benchmark and critical region identification.

Language: en

Keywords

Severity index; benchmarking; crash causation parameters; fatal crash percentage; hierarchical clustering analysis; regional safety analysis; road safety strategies