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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/11129

Title: Identifying Hazardous Road Locations: Hot Spots versus Hot Zones
Authors: MOONS, Elke
WETS, Geert
Issue Date: 2009
Citation: Gavrilova, ML; Tan, CJK (Ed.) TRANSACTIONS ON COMPUTATIONAL SCIENCE VI. p. 288-300.
Series/Report: Lecture Notes in Computer Science, 5730
Abstract: Traffic safety has become top priority for policy makers in most European countries. The first step is to identify hazardous locations. This can be carried out in many different ways, via (Bayesian) statistical models or by incorporating the spatial configuration by means of a. local indicator of spatial association. In this paper, the structure of the underlying road network is taken into account by applying Moran's I to identify hot spots. One step further than the pure identification of hazardous locations is a deeper investigation of these hot spots in a hot zone analysis. This extended analysis is important both theoretically in enriching the way of conceptualizing and identifying hazardous locations and practically in providing useful information for addressing traffic safety problems. The results are presented on highways in a province in Belgium and in an urban environment. They indicate that incorporating the hot zone methodology in a hot spot analysis reveals a clearer picture of the underlying hazardous road locations and, consequently, this may have an important impact on policy makers.
Notes: [Moons, Elke; Brijs, Tom; Wets, Geert] Hasselt Univ, Transportat Res Inst, B-3590 Diepenbeek, Belgium.
URI: http://hdl.handle.net/1942/11129
ISI #: 000280705300017
ISSN: 0302-9743
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2011
Appears in Collections: Research publications

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