Investigation of the causes of serious injury and fatal crashes : an analysis using econometric models

2005 ◽  
Author(s):  
Elio R. Espino
Author(s):  
Kristofer D. Kusano ◽  
Hampton C. Gabler

Opposite-direction crashes can be extremely severe because opposing vehicles often have high relative speeds. The objective of this study was to characterize the overall frequency of opposite-direction crashes as well as the frequency of crashes involving fatalities and serious injuries. The results of the study will guide future research and investment in infrastructure-based countermeasures to opposite-direction crashes, such as centerline rumble strips. The study used data from the National Automotive Sampling System (NASS) General Estimates System for 2010, the NASS Crashworthiness Data System for 2006 to 2010, and the Fatality Analysis Reporting System for 2010. The most common opposite-direction crash scenario was a driver departing the road driving over the centerline or the road edge to the left, which accounted for only 5% of nonjunction vehicle-to-vehicle crashes but 44% of serious injury and 49% of fatal crashes of the same type. Of the cross-over-to-left crashes, 72% of fatal crashes occurred on rural, undivided, two-lane roads and accounted for 1,659 fatal crashes in 2010. In cross-over-to-left crashes on rural two-lane roads, the driver was going straight or negotiating a curve in 88% to 94% of the crashes. The driver was overtaking another vehicle in only 2% of serious injury crashes and 6% of fatal crashes. Cross-over-to-left crashes on curves were to the outside of the curve more often than to the inside of the curve. This research suggests that countermeasures to opposite-direction crashes should focus on rural two-lane roads.


2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Annelies Schoeters ◽  
Wim Wijnen ◽  
Laurent Carnis ◽  
Wendy Weijermars ◽  
Rune Elvik ◽  
...  

Abstract Introduction Costs related to road crashes represent an important societal burden. Additionally they constitute an essential input variable to assess the cost efficiency of road safety measures. While most attention is usually spent on costs related to fatal crashes, this paper focuses on costs related to serious injuries. Method A review of these costs is presented based on different data sets and methods. Results A survey collecting crash cost estimates in European countries shows considerable variation in the costs related to serious injuries. The reported cost per serious injury varies between €28,205 and €975,074 and the total costs related to serious injuries vary between 0.04% and 2.7% of a country’s GDP. The applied methodology to estimate human costs appears to have a large influence. Other potential explanations are the applied definition for seriously injured victims, the registration procedure of crashes with serious injuries and the cost components that are included. Detailed analyses of medical costs and production loss that are based on country-specific datasets show the importance of assessing medical costs on the long term and taking into account the variation of these costs for different subgroups of traffic victims. A comparison of approaches to estimate monetary values for human costs shows that most countries use the Willingness To Pay method. While having a sound theoretical background, this method is rather limited in the specification of injuries. The use of Quality Adjusted Life Years gives the possibility to provide values for a larger diversity of injury types.


Author(s):  
Jacob Achtemeier ◽  
Curtis M. Craig ◽  
Nichole L. Morris

Short sight distances at rural intersections can result in reduced safety including drivers choosing smaller gaps between oncoming vehicles (Yan & Richards, 2010). Conversely, increased sight distances may result in improved driver confidence, but not safety as seen at rail crossings (Ward & Wilde, 1996). Thus, simply increasing sight distances may not result in linear gains in safety. Establishing appropriate lower and upper-visibility limits at rural intersections will minimize operational costs for clearing and grubbing labor and may reduce serious injury and fatal crashes by promoting safer crossing behavior around rural thru-STOP intersections. This driving simulation study will examine intersection visibility and other intersection design factors that influence driver behavior at rural thru-STOPs. Time to collision, or TTC, is a primary motivating factor on driver decisions to cross intersections. Drivers’ TTC perception is a function of oncoming vehicle speed, distance, and rate of retinal expansion (tau; Hancock & Manser, 1997). We hypothesize TTC factors may interact with confidence in intersection crossing judgments. Specifically, when people must quickly make judgments, their confidence must be estimated after the decision has been made, but if the time pressure is not high and the decision is not immediate, people’s judgments and their confidence in those judgments can both be considered prior to action. This can be problematic because people are normally overconfident in their judgments (Harvey, 1997). The present study comprised a crossing judgment block, and a mainline drive block. The experimental stimuli were validated by engineers with experience in rural intersections, who rated the simulated intersections as “significantly representative” to real-world intersections through an average rating score of 5.25 ( SD = 0.5) on a 7-pt scale. This was done to ensure that the study findings would be more likely to be applicable to world intersections. The goal of the study is to identify whether sight distance and other variables, including speed for the judgment task and vehicle proximity to the intersection for the mainline drive task, impact safety at rural intersections.


2021 ◽  
Vol 32 (2) ◽  
pp. 16-21
Author(s):  
Max Cameron ◽  
Stuart Newstead

Mobile speed cameras on Victoria’s rural roads are not as effective as they could be due to the site selection criteria, the limited number of sites, and the visibility and predictability of their enforcement operations. Queensland’s overt mobile speed cameras achieve substantial crash reductions up to 4 km from rural camera sites due to site selection based only on crash history and randomised scheduling of operations to those sites. New sites in Victoria should be selected as in Queensland and camera visits should be randomly-scheduled. The Victorian Government’s announcement to increase mobile speed camera hours by 75% should take the form of at least 75% increase of rural sites. The new sites should be selected on the basis of a serious crash history within 2.5 km. Mobile speed cameras operated at these new rural sites could be expected to save 22.5 fatal crashes and 172 serious injury crashes per year.


Author(s):  
Brittany N. Campbell ◽  
John D. Smith ◽  
Wassim G. Najm
Keyword(s):  

CFA Digest ◽  
2005 ◽  
Vol 35 (1) ◽  
pp. 82-83
Author(s):  
Frank T. Magiera
Keyword(s):  

Author(s):  
Nguyen Trong Vinh ◽  
Nguyen Cam Nhung

This research evaluates the efficiency of the state budget allocation in Vietnam in the period 2007-2016 by using econometric models of OLS, FEM, REM and FGLS. The estimated results from the model, together with the evaluation of the state budget allocation show that the budget allocation has achieved positive results, but the efficiency of budget allocation is still not high. Following this, the article gives some policy implications for Vietnam to effectively allocate the state budget in the near future.


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