Vojtech Eksler

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PROBLEM Road accident outcomes are traditionally analyzed at state or road network level due to a lack of aggregated data and suitable analytical methods. The aim of this paper is to demonstrate usefulness of a simple spatiotemporal modeling of road accident outcomes at small-scale geographical level. METHOD Small-area spatiotemporal Bayesian models(More)
BACKGROUND Road accidents are the tenth leading cause of premature death worldwide and, based on current trends, are likely to become the third leading cause of disability-adjusted life years lost by 2020. Road mortality varies in time and space both between countries and also between regions within the same country. Identifying and understanding the(More)
Belgian Road Safety Institute (IBSR/BIVV) (BE) Centro di ricerca per lo studio dei determinanti umani degli incidenti stradali " Acknowledgements ETSC is grateful for the contributions of all experts and ETSC members to this report. This report would not have been possible without their kind support. The European Transport Safety Council The European(More)
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