Effects of snowfalls on motor vehicle collisions, injuries, and fatalities

被引:147
作者
Eisenberg, D
Warner, KE
机构
[1] Univ Michigan, Sch Publ Hlth, Dept Hlth Management & Policy, Ann Arbor, MI 48109 USA
[2] Univ Calif Berkeley, Sch Publ Hlth, Berkeley, CA 94720 USA
关键词
D O I
10.2105/AJPH.2004.048926
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Objectives. We estimated the effects of snowfalls on US traffic crash rates between 1975 and 2000. Methods. We linked all recorded fatal crashes (1.4 million) for the 48 contiguous states from 1975 through 2000 to daily state weather data. For a subsample including 17 states during the 1990s, we also linked all recorded property-damage-only crashes (22.9 million) and nonfatal-injury crashes (13.5 million) to daily weather data. Employing negative binomial regressions, we investigated the effects of snowfall on crash counts. Fixed effects and other controls were included to address potential confounders. Results. Snow days had fewer fatal crashes than dry days (incidence rate ratio [IRR] = 0.93; 95% confidence interval [CI = 0.90, 0.97), but more nonfatal-injury crashes (IRR = 1.23; 95% CI=1.18, 1.29) and property-damage-only crashes (IRR= 1.45; 95% CI = 1.38, 1.52). The first snowy day of the year was substantially more dangerous than other snow days in terms of fatalities (IRR=1.14; 95% CI=1.08, 1.21), particularly for elderly drivers (IRR= 1.34; 95% CI = 1.23, 1.50). Conclusions. The toll of snow-related crashes is substantial. Our results may help estimate the potential benefits of safety innovations currently proposed by meteorology and traffic safety experts.
引用
收藏
页码:120 / 124
页数:5
相关论文
共 18 条
[11]  
Knapp K., 2000, MED CONTINENT TRANSP, P67
[12]  
Lombardo L., 2000, 2 WEATH INF SURF TRA
[13]  
*NAT CLIM DAT CTRN, 1975, COOP SUMM DAY TD 320
[14]  
*NAT CTR STAT AN N, STAT DAT SYST 1990 1
[15]  
*NAT CTR STAT AN N, 2004, FAT ACC REP SYST 197
[16]  
National Research Council, 2004, WEATH MEETS ROAD
[17]  
PERRY AS, 1991, HIGHWAY METEOROLGY
[18]  
Wooldridge J.M., 2002, Econometric analysis of cross sectional and panel data, P30