The local spatial autocorrelation and the kernel method for identifying black zones - A comparative approach

被引：161
作者：
Flahaut, B
Mouchart, M
San Martin, E
Thomas, I
机构：
[1] Catholic Univ Louvain, Dept Geog, B-1348 Louvain, Belgium
[2] Catholic Univ Louvain, Inst Stat, Louvain, Belgium
[3] Natl Fund Sci Res, Brussels, Belgium
[4] Ctr Operat Res & Econometr, Louvain, Belgium
[5] Pontificia Univ Catolica Chile, Dept Estadist, Santiago, Chile
来源：
ACCIDENT ANALYSIS AND PREVENTION | 2003年 / 35卷 / 06期
关键词：
black zones; kernel estimators; local spatial autocorrelation; road accidents;
D O I：
10.1016/S0001-4575(02)00107-0
中图分类号：
TB18 [人体工程学];
学科分类号：
1201 ;
摘要：
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.
引用
收藏
页码：991 / 1004
页数：14
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