artículo
The local spatial autocorrelation and the kernel method for identifying black zones - A comparative approach
Fecha
2003Registro en:
10.1016/S0001-4575(02)00107-0
1879-2057
0001-4575
MEDLINE:12971934
WOS:000185493100020
Autor
Flahaut, B
Mouchart, M
San Martin, E
Thomas, I
Institución
Resumen
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. (C) 2003 Elsevier Science Ltd. All rights reserved.