AbstractThis 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.
The local spatial autocorrelation and the kernel method for identifying black zones
A comparative approach
Accident Analysis and Prevention ; 35 , 6 ; 991-1004
2002-10-15
14 pages
Article (Journal)
Electronic Resource
English
Taylor & Francis Verlag | 2022
|Taxicab crashes modeling with informative spatial autocorrelation
Elsevier | 2019
|New Crack-Imaging Procedure Using Spatial Autocorrelation Function
Online Contents | 1994
|New Crack-Imaging Procedure Using Spatial Autocorrelation Function
British Library Online Contents | 1994
|