Evaluating the Impact of Socio - Economics , Land Use , Built Environment , and Road 1 Facility on Cyclist

35 With the increasing demand for sustainability, cycling is being encouraged as one of the efficient 36 active modes of transportation. However, cyclists are vulnerable to severe injuries when involved 37 in crashes which can discourage road users from cycling. Therefore, studying factors that affect 38 the safety of cyclists is important. This paper investigates the relationship between cyclist39 motorist crashes and various traffic zone characteristics in the city of Vancouver. The goal is to 40 assess the impact of socio-economics, land use, built environment, and road facility on cyclist 41 safety using macro-level collision prediction models. The models are developed using 42 generalized linear regression and full Bayesian techniques. An actual bike exposure indicator 43 (i.e. bike kilometers travelled) is used along with vehicle kilometers travelled as exposure 44 variables in the models. The safety models showed that cyclist-motorist crashes were non45 linearly associated with the increase in the bike, vehicle, and transit traffic. The crashes were also 46 found positively associated with the socio-economic variables (i.e. population, employment, and 47 household densities), built environment variables (transit stop, traffic signal, and light pole 48 densities), commercial area density, and arterial-collector roads proportion. On the other hand, 49 the models revealed a decline in cyclist-motorist crashes that was associated with the increase in 50 local roads and off-street bike links proportions, as well as the increase in recreational and 51 residential area densities. The spatial effects were accounted for in the full Bayes models and 52 were found significant which implies the importance of considering spatial correlation in 53 developing macro-level cyclist safety models. 54