Age-Based Stratification of Drivers to Evaluate the Effects of Age on Crash Involvement

Mehmet Baran Ulak*, Eren Erman Ozguven, Lisa Spainhour

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)

Abstract

Traffic crashes imperil roadway users and impose a considerable economic burden on society. Previous studies have investigated several aspects of traffic crashes such as severity, frequency, and influential factors, yet the causal and spatial differences between crashes involving drivers from different age groups remain unclear. In this paper, we illustrate the causal, spatial and temporal variations in crash involvement patterns of different age groups, including age 16-49, 50-64, and 65+. Furthermore, we stratified the aging drivers (65+) in order to explore the age-specific differences within this group, considering that the changes brought by aging may differ tremendously at different stages. For this purpose, we implemented an approach with two distinct phases: (a) a geographic information system (GIS)–based spatiotemporal analysis, and (b) a multinomial logistic regression analysis. Results indicate that crashes of different age groups differ not only in terms of influential factors but also spatially and temporally on the roadway network. The findings of this study will be eminently useful for public and/or private agencies to identify and address problematic issues particularly for aging drivers, and thus will enhance the safety and mobility of aging roadway users as well as entire population.
Original languageEnglish
Pages (from-to)551-560
Number of pages10
JournalTransportation research procedia
Volume22
DOIs
Publication statusPublished - 17 May 2017
Externally publishedYes
Event19th EURO Working Group on Transportation Meeting, EWGT 2016 - Istanbul Technical University, Istanbul, Turkey
Duration: 5 Sep 20167 Sep 2016
Conference number: 19

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