A spatially disaggregate analysis of road casualties in England

被引：205

作者：

Noland, RB ^{[1
]}

Quddus, MA ^{[1
]}

机构：

[1] Univ London Imperial Coll Sci Technol & Med, Dept Civil & Environm Engn, Ctr Transport Studies, London SW7 2AZ, England

来源：

ACCIDENT ANALYSIS AND PREVENTION | 2004年 / 36卷 / 06期

基金：

英国工程与自然科学研究理事会;

关键词：

transport safety; negative binomial models; spatial analyses; geographic information systems; deprivation; land use;

D O I：

10.1016/j.aap.2003.11.001

中图分类号：

TB18 [人体工程学];

学科分类号：

1201 ;

摘要：

Spatially disaggregate ward level data for England is used in an analysis of various area-wide factors on road casualties. Data on 8414 wards was input into a geographic information system that contained data on land use types, road characteristics and road casualties. Demographic data on area-wide deprivation (the index of multiple deprivation) for each ward was also included. Negative binomial count data models were used to analyze the associations between these factors with traffic fatalities, serious injuries and slight injuries. Results suggest that urbanized areas are associated with fewer casualties (especially fatalities) while areas of higher employment density are associated with more casualties. More deprived areas tend to have higher levels of casualties, though not of motorized casualties (except slight injuries). The effect of road characteristics are less significant but there are some positive associations with the density of "A" and "B" level roads. (C) 2003 Elsevier Ltd. All rights reserved.

引用

页码：973 / 984

页数：12

共 20 条

[1] An investigation into the relationships between area social characteristics and road accident casualties [J].