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The local spatial autocorrelation and the kernel method for identifying black zones. A comparative approach |
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| Authors: | Flahaut Benoît Mouchart Michel San Martin Ernesto Thomas Isabelle |
| Affiliation: | a Department of Geography, Université Catholique de Louvain, Place Louis Pasteur 3, Louvain-la-Neuve 1348, Belgium b Institute of Statistics, Université Catholique de Louvain, Louvain-la-Neuve, Belgium c National Fund for Scientific Research, Brussels, Belgium d Center for Operations Research and Econometrics, Louvain-la-Neuve, Belgium e Departamento de Estadistica, Pontificia Universidad Catolica de Chile, Santiago, Chile |
| Abstract: | This article aims to determine the location and the length of road sections characterized by a concentration of accidents (black zones). Two methods are compared: one based on a local decomposition of a global autocorrelation index, the other on kernel estimation. After explanation, both methods are applied and compared in terms of operational results, respective advantages and shortcomings, as well as underlying conceptual elements. The operationality of both methods is illustrated by an application to one Belgian road. |
| Keywords: | Black zones Kernel estimators Local spatial autocorrelation Road accidents |
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