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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/8412

Title: Hot spot analysis: Improving a local indicator of spatial association for application in traffic safety
Authors: MOONS, Elke
BRIJS, Tom
WETS, Geert
Issue Date: 2008
Publisher: SPRINGER-VERLAG BERLIN
Citation: COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2008, PT 1, PROCEEDINGS, 5072. p. 221-231
Series/Report: LECTURE NOTES IN COMPUTER SCIENCE, 5072
Abstract: As in most European countries, traffic safety has become top priority in the National Safety Plan in Belgium. The first phase in every safety analysis concerns the identification of the hazardous locations. In this respect, a local indicator of spatial association (Moran's I) is improved and applied to determine hot spots locations on highways in Limburg, a province in Belgium. However, the analysis is complicated by the fact that accident data have a very specific nature: they form a Poisson random process rather than a Gaussian random process and they are prone to sparseness. Therefore, the well-established indicator needs some adaptations and simulations are required to determine the underlying distribution of Moran's I. This paper emphasizes the importance of using a correct distribution and indicates what could go wrong otherwise e.g. at policy level.
Notes: Hasselt Univ, Transportat Res Inst, Diepenbeek, B-3590 Belgium.
URI: http://hdl.handle.net/1942/8412
ISI #: 000257310900016
ISBN: 978-3-540-69838-8
ISSN: 0302-9743
Category: A1
Type: Journal Contribution
Validation: ecoom, 2009
Appears in Collections: Research publications

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