The purpose of this study is to examine the interplay between demographic, land use, and roadway accessibility variables and different types of accidents in Honolulu. A uniform 0.1 square mile grid is used as the basis for analysis combined with binomial logistic regression. Eight different models are constructed which consider the relationship between total accidents, injury, fatality, pedestrian, bicycle, moped, motorcycle, and motor vehicle to motor vehicle crashes as a function of population, land use, andaccessibility measures such as road length, bus stops, bus route length, number of intersections and dead ends. The results indicate that althoughdemographic variables such as job count and number of people living belowthe poverty level are significantly associated with the production of injury crashes, pedestrian and bike crashes, and business and commercial areas are also strongly associated with increased total as well as injury/fatal crashes, accessibility measures such as number of bus stops and number of intersections are generally associated with increases in all types of accidents. The implications for safety research and other programs are summarized.
Samenvatting