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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 | Source: | COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2008, PT 1, PROCEEDINGS, 5072. p. 221-231 | Series/Report: | LECTURE NOTES IN COMPUTER SCIENCE | Series/Report no.: | 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. | Keywords: | spatial statistics, local indicator of spatial association (LISA), Moran's I, hot spot accident analysis, traffic safety | Document URI: | http://hdl.handle.net/1942/8412 | ISBN: | 978-3-540-69838-8 | ISSN: | 0302-9743 | ISI #: | 000257310900016 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2009 |
Appears in Collections: | Research publications |
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File | Description | Size | Format | |
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hotspot.pdf | Non Peer-reviewed author version | 304.15 kB | Adobe PDF | View/Open |
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