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MPC Research Reports
Filter by Keyword8 report(s) found with fatalities in the keywords field 1 - 8 of 8 Child pedestrians are some of the most vulnerable users of our transportation systems, and they deserve particular attention when we consider traffic safety. Part 1 of this report identifies locations in urban areas where child pedestrians are at particular risk for fatal collisions with vehicles. We... This research seeks to investigate crash severity predicting models and contributing factor explorations through the application of data mining models. There are 21 variables found to be associated with commercial truck injury severities. The importance analysis indicates the variable relative important... Despite bicycling being considered on the order of ten times more dangerous than driving, the evidence continues to build that high-bicycling-mode-share cities are not only safer for bicyclists but for all road users. This paper looks to understand what makes these cities safer. Are the safety differences... In an attempt to predict these crashes, North Dakota driver licensing data and crash data were used to develop a sample of 20,392 teen drivers age 14 to 17. Within the first year after being licensed, these drivers sustained 317 crashes that resulted in an injury or death. The resulting logistic regression... Seating children in the rear of vehicles has been shown to decrease the odds of being fatally injured in a motor vehicle crash by 36% to 40%. Although rear seating is safer, rates of children being front-seated remain high, especially for older children. Few states have enacted legislation regarding... Traffic safety is a widespread social concern. Tackling the problem requires understanding the people who are driving. This includes information about driver behavior, but also about perceptions these drivers hold regarding their driving. North Dakota crash data points at a specific group of drivers... A study of collisions occurring at intersections along State routes in Utah was conducted. The number of crashes, the crash severity score and, for selected locations, the crash rate were determined and "ranked" for intersections within the Utah Department of Transportation's Region 1, Region 2, Region... The primary objective of this research was to establish statistically valid mathematical models that can explain the variations in accidents as a function of geometric variables. Engineers and planners will be able to use these models to examine the sensitivity of accident rates to any of the independent... |
