@article{ref1,
title="Let's talk about the weather - interpretation of short term changes in road accident outcomes",
journal="Transportation research procedia",
year="2016",
author="Martensen, Heike and Focant, Nathalie and Diependaele, Kevin",
volume="14",
number="",
pages="96-104",
abstract="The monthly road traffic accident victim numbers in Belgium (2003-2014) were analyzed in latent trend time series models separately for pedestrians, cyclists, moped riders, car occupants and road user types jointly. For each road-user type the effect of a range of meteorological variables was tested. The resulting models allow a detailed view on the weather effects for different modes of transport. The strongest effects are observed for two-wheelers (motorcyclists and cyclists), with snow leading to a reduction in victim numbers while warm and sunny weather leads to an increase. The effect of rain differs according to the road user type involved.   The principles of state-space time series modelling are described along with the treatment of multicollinearity in models with several predicting variables. An outlook is given of the potential uses of the resulting models.<p /> <p>Language: en</p>",
language="en",
issn="2352-1465",
doi="10.1016/j.trpro.2016.05.045",
url="http://dx.doi.org/10.1016/j.trpro.2016.05.045"
}