On accommodating spatial dependence in bicycle and pedestrian injury counts by severity level

• This paper proposes a new approach to estimate a spatial injury frequency model.
• The formulation also accommodates jointness in pedestrian/bicyclist injury counts.
• The results highlight the need to differentiate injury counts by severity level.

This paper proposes a new spatial multivariate count model to jointly analyze the traffic crash-related counts of pedestrians and bicyclists by injury severity. The modeling framework is applied to predict injury counts at a Census tract level, based on crash data from Manhattan, New York. The results highlight the need to use a multivariate modeling system for the analysis of injury counts by road-user type and injury severity level, while also accommodating spatial dependence effects in injury counts.