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Crash prediction models play a major role in highway safety analysis. These models can be used for various purposes, such as predicting the number of road crashes or establishing relationships between these crashes and different covariates. However, the appropriate choice for the functional form of these models is generally not discussed in research literature on road safety. In case of run-off-the-road crashes, empirical evidence and logical considerations lead to conclusion that the relationship between expected frequency and traffic flow is not monotonously increasing.

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This study examined a collaborative inquiry process, facilitated by university faculty in an elementary school, intended to develop a research community, foster knowledge mobilization, and enhance student engagement. The Collaborative Inquiry Team in Education (CITE) initiative consisted of five school-based sessions that included videos, discussions, and the completion of a research action plan. Data collection and analysis involved sessions’ transcripts, feedback from participants, documents such as brainstorming charts, and student artifacts. Findings indicate that the collaborative inquiry process with enablers of time, flexibility, and support from university faculty increased educators’ research acumen and student engagement in classrooms. The CITE initiative is an effective example of applied education research and knowledge mobilization with the inclusion of faculty and technological support, innovative resources, and the co-construction of new understandings.

Collisions with dangerous roadside obstacles and rollovers are responsible for many injuries and deaths in highways worldwide. International crash data indicate that roadside characteristics

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