TY  - JOUR
PY  - 1996//
TI  - Understanding causes of injuries in motor vehicle crashes
JO  - Transportation quarterly
A1  - Kim, Karl
A1  - Nitz, L.
SP  - 105
EP  - 113
VL  - 50
IS  - 1
N2  - In this study, we use ANOVA (Analysis of Variance) modeling techniques to examine the relationship between injury scores and three independent variables including vehicle class (car, van, pickup), crash type (head-on, rear-end, rollover, etc.), and restraint use in Hawaii. In addition to estimating mean injury levels for various vehicle classes and crash types, we also describe the actual mean injury levels for various combinations of vehicle class, crash type, and restraint use. Our findings demonstrate the effectiveness of seat belts in reducing injuries across virtually all combinations of vehicle class and crash type. We also demonstrate which types of crashes and vehicles have the highest reported injury levels. Our analysis is based on comprehensive police crash data for 62,754 motor vehicle occupants involved in collisions in the State of Hawaii during 1990.<p />
LA  - 
SN  - 0278-9434
UR  - http://dx.doi.org/
ID  - ref1
ER  -