Older people form a vulnerable age group who are susceptible to road traffic injuries and in recent years, the fatality rates among the older drivers, pedestrians, and pedacyclists have increased in an alarming rate. Due to the statewide increase in motor vehicle crashes involving older population, the Illinois Department of Transportation (IDOT) has identified older drivers as an emphasis area in the Illinois Strategic Highway Plan. This study is aimed to determine the major causes behind older population crashes by analyzing the crash data and county-level socioeconomic data. First, preliminary analysis on the IDOT 2011–2016 crash data was conducted and several crash injury characteristics for older people (age 65 or more) were identified and compared with the remaining age groups. Then, Hierarchical Linear Models has been used to identify the association between senior people crashes and crash characteristics along with county-level demographic features. From the analysis, it has been found that, the factors including percentage of older people and primary care physicians along with road surface condition, light, weather, alignment conditions, vehicle types, vehicle defects, time of crash, gender, BAC (Blood Alcohol Content), TCD (Traffic Control Devices) etc. are significant predictors which result in older people injury over different counties in Illinois.
|Commitee:||Fries, Ryan, Huang, Jianwei|
|School:||Southern Illinois University at Edwardsville|
|School Location:||United States -- Illinois|
|Source:||MAI 81/3(E), Masters Abstracts International|
|Subjects:||Civil engineering, Engineering|
|Keywords:||Crash database, Hierarchical linear modeling, HLM, IDOT, Older people crashes, Socioeconomic factors|
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