TY - JOUR
T1 - On accommodating spatial dependence in bicycle and pedestrian injury counts by severity level
AU - Narayanamoorthy, Sriram
AU - Paleti, Rajesh
AU - Bhat, Chandra R.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
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U2 - 10.1016/j.trb.2013.07.004
DO - 10.1016/j.trb.2013.07.004
M3 - Article
AN - SCOPUS:84881227677
SN - 0191-2615
VL - 55
SP - 245
EP - 264
JO - Transportation Research Part B: Methodological
JF - Transportation Research Part B: Methodological
ER -