The local spatial autocorrelation and the kernel method for identifying black zones.

Author(s)
Flahaut, B. Mouchart, M. San Martin, E. & Thomas, I.
Year
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. (Author/publisher).

Request publication

3 + 1 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.

Publication

Library number
I E119130 /82 / ITRD E119130
Source

Accident Analysis & Prevention. 2003 /11. 35(6) Pp991-1004 (36 Refs.)

Our collection

This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.