Document Detail

A Preliminary Analysis of Traffic Crashes by Out-of-State Drivers.
MedLine Citation:
PMID:  21660886     Owner:  NLM     Status:  In-Data-Review    
Objective: This study was designed to investigate the relationship between the involvement of out-of-state drivers in fatal crashes and each US state's fatality rate per distance driven. Method: Two analyses were performed. In the first analysis, we examined the percentages of out-of-state drivers among those involved in fatal crashes using the data from the Fatal Analysis Reporting System (FARS). In the second analysis, we correlated these percentages with the states' fatality rates per distance driven. Both analyses used the data for 2008. Results: There are two main findings of this study. First, there is wide variability across the 50 states in the percentage of all drivers involved in fatal crashes who were out-of-state drivers, with a minimum of 5.0 percent in California and a maximum of 41.2 percent in Wyoming. Second, there is a positive correlation between this percentage and the corresponding fatality rate per distance driven. Conclusions: There are two main findings. First, states vary greatly in terms of the involvement of out-of-state drivers in fatal crashes. Second, the states with higher fatality rates tend to have higher percentages of out-of-state drivers among the persons involved in fatal crashes. However, whether this relationship is causative (ie, the extent of the involvement of out-of-state drivers among the persons involved in fatal crashes influences the states' overall fatality rates) or noncausative (eg, there is more out-of-state traffic in states with higher fatality rates) cannot be ascertained from the available data. The missing data concern the relative distance driven in each state by out-of-state drivers.
Michael Sivak; Brandon Schoettle
Related Documents :
21660886 - A preliminary analysis of traffic crashes by out-of-state drivers.
25425436 - A review of rodent models of peritoneal dialysis and its complications.
19659556 - Reconciling uncertain costs and benefits in bayes nets for invasive species management.
9439876 - An overview and ranking of biochemical markers of cardiac disease. strengths and limita...
24221636 - Estimating position-time relationships in steady-state, one-dimensional growth zones.
24186166 - Retrospective analysis of the relationships among the test environments of the southern...
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Traffic injury prevention     Volume:  12     ISSN:  1538-957X     ISO Abbreviation:  Traffic Inj Prev     Publication Date:  2011 Jun 
Date Detail:
Created Date:  2011-06-10     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101144385     Medline TA:  Traffic Inj Prev     Country:  England    
Other Details:
Languages:  eng     Pagination:  220-2     Citation Subset:  IM    
The University of Michigan Transportation Research Institute, Ann Arbor, Michigan.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Driving citations: relationships with criminal behavior.
Next Document:  Identifying traditional and nontraditional predictors of crash injury severity on major urban roadwa...