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- W21328176 abstract "Urban and transport planners worldwide have recently designed and implemented policies for increasing the number of cyclists. Although cycling is on the rise even in car-oriented cities and regions, the fear to be involved in a crash is still the main obstacle to further increases in cycling market shares. The current study proposes the first joint model of frequency and severity of cyclist-motorist collisions with the aim of unraveling the factors contributing to both the probability of being involved in a crash and, provided that a crash occurred, experiencing a severe injury outcome. A multivariate Poisson-lognormal model with multivariate correlated autoregressive priors was estimated on a sample of 5349 cyclist-motorist crashes occurred in the Copenhagen Region between 2009 and 2013. The model considered the links of the road network in the region as the unit of observation, controlled for traffic exposure of non-motorized and motorized transport modes, evaluated the effect of infrastructure and land use, and accounted for heterogeneity and spatial correlation across links. Results confirmed the existence of the phenomenon of safety in numbers and added to the narrative by emphasizing that the most severe crashes are the ones most benefitting from an increase in the number of cyclists. Also, results argued that the construction of Copenhagen-style bicycle paths would significantly contribute to increasing safety, especially in suburban areas where the speed differential between cyclists and motorists is greater. Last, results illustrated a need for thinking about cycling safety in intersection design and reflecting on the importance of spatial and aspatial correlation both within and between injury categories." @default.
- W21328176 created "2016-06-24" @default.
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- W21328176 date "2015-01-01" @default.
- W21328176 modified "2023-09-24" @default.
- W21328176 title "Spatial Analysis of Land Use and Network Effects on Frequency and Severity of Cyclist-Motorist Crashes in Copenhagen Region, Denmark" @default.
- W21328176 hasPublicationYear "2015" @default.
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