A Bayesian model for ranking hazardous sites

Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/11375

Title:	A Bayesian model for ranking hazardous sites
Authors:	BRIJS, Tom KARLIS, Dimitris VAN DEN BOSSCHE, Filip WETS, Geert
Issue Date:	2004
Source:	Cors/Informs Joint International meeting, Banff, Canada ; 6/05/2004-19/05/2004.
Abstract:	This paper proposes a methodology to rank dangerous road locations. The model is innovative in two respects. Firstly, it makes use of relevant information per accident location, including the total number of accidents, the number of fatalities, as well as the number of light and severe injuries. Secondly, the model includes a cost function to rank the sites with respect to their total expected cost to the society. Bayesian estimation for the model via a MCMC approach is proposed.
Document URI:	http://hdl.handle.net/1942/11375
Link to publication/dataset:	http://hdl.handle.net/1942/4533
Category:	C2
Type:	Conference Material
Appears in Collections:	Research publications

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