THE LOCAL SPATIAL AUTOCORRELATION AND THE KERNEL METHOD FOR IDENTIFYING BLACK ZONES: A COMPARATIVE APPROACH
Two methos are presented and compared in this paper for identifying and delimiting road sections characterized by concentration of road accidents: one method based on spatial autocorrelation indices, the other one on kernel estimators. The paper shows that although the two methods start from a different conceptual approach, both may provide quite similar results under a specific choice of parameters and lead to a definition of non-contiguous black zones.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00014575
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Corporate Authors:
The Boulevard, Langford Lane
Kidlington, Oxford United Kingdom OX5 1GB -
Authors:
- Flahau, B
- MOUCHART, M
- SAN MARTIN, E
- Thomas, I
- Publication Date: 2003-11
Language
- English
Media Info
- Features: Figures; References; Tables;
- Pagination: p. 991-1004
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Serial:
- Accident Analysis & Prevention
- Volume: 35
- Issue Number: 6
- Publisher: Elsevier
- ISSN: 0001-4575
- Serial URL: http://www.sciencedirect.com/science/journal/00014575
Subject/Index Terms
- TRT Terms: Autocorrelation; High risk locations; Traffic crashes
- Uncontrolled Terms: Black zones; Kernel estimation
- Subject Areas: Highways; Safety and Human Factors;
Filing Info
- Accession Number: 00963985
- Record Type: Publication
- Files: TRIS, ATRI
- Created Date: Oct 3 2003 12:00AM