Red Light Cameras Unsuccessful in Reducing Fatal Crashes in Large US Cities

Langland‐Orban, Barbara; Pracht, Etienne E.; Large, John T.

doi:10.14485/hbpr.1.1.8

Cited by 9 publications

(5 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…More recently, another review published similar findings (36). However, there has been methodological critique of the published studies, with some authors arguing that red light cameras may not improve and may actually increase crashes and injuries (37,38). To date, there are no randomized, controlled trials published on red light cameras.…”

Section: Discussionmentioning

confidence: 99%

Factors Associated with Pediatric Mortality from Motor Vehicle Crashes in the United States: A State-Based Analysis

Wolf

Chowdhury

Tweed

et al. 2017

The Journal of Pediatrics

View full text Add to dashboard Cite

Objective To examine geographic variation in motor vehicle crash (MVC)-related pediatric mortality and identify state-level predictors of mortality. Study design Using the 2010–2014 Fatality Analysis Reporting System, we identified passengers <15y involved in fatal MVCs, defined as crashes on U.S. public roads with ≥1 death (adult or pediatric) within 30d. We assessed passenger, driver, vehicle, crash, and state policy characteristics as factors potentially associated with MVC-related pediatric mortality. Our outcomes were age-adjusted, MVC-related mortality rate per 100,000 children (AAMR) and percentage of children that died of those in fatal MVCs. Unit of analysis was U.S. state. We used multivariable linear regression to define state characteristics associated with higher levels of each outcome. Results Of 18,116 children in fatal MVCs, 15.9% died. AAMR varied from 0.25 in Massachusetts to 3.23 in Mississippi (mean national rate=0.94). Predictors of greater AAMR included greater percentage of children unrestrained/inappropriately restrained (p<0.001) and greater percentage of crashes on rural roads (p=0.016). Additionally, greater percentages of children died in states without red light camera legislation (p<0.001). For 10% absolute improvement in appropriate child restraint use nationally, our risk-adjusted model predicted >1,100 pediatric deaths averted over 5y. Conclusions MVC-related pediatric mortality varied by state and was associated with restraint nonuse/misuse, rural roads, vehicle type, and red light camera policy. Revising state regulations and improving enforcement around these factors may prevent substantial pediatric mortality.

show abstract

Section: Discussionmentioning

confidence: 99%

Factors Associated with Pediatric Mortality from Motor Vehicle Crashes in the United States: A State-Based Analysis

Wolf

Chowdhury

Tweed

et al. 2017

The Journal of Pediatrics

View full text Add to dashboard Cite

show abstract

“…In 2011, the IIHS published an analysis that concluded RLCs were associated with a significant reduction in red light running fatality rates in large U.S. cities (Hu, McCartt, & Teoh, 2011). Langland-Orban, Pracht, and Large (2014) replicated this study to demonstrate the camera variable was not statistically significant if eliminating a single outlier city that had an extraordinarily high red light running fatality rate and accounted for more than half the observed variance the IIHS study was attempting to explain. McCartt of the IIHS explained “We have a difference of opinion about what constitutes a strong study” (Bialik, 2013).…”

Section: Introductionmentioning

confidence: 84%

Explaining Differences in Crash and Injury Crash Outcomes in Red Light Camera Studies

et al. 2014

Self Cite

View full text Add to dashboard Cite

Evaluations of red light camera (RLC) traffic safety programs have produced mixed results. Some conclude RLCs were associated with significant increases in motor vehicle crashes and injury crashes, whereas other research reports safety benefits. To understand the difference in findings, the present analysis assessed whether standards required for internal validity in quasi-experimental public health program evaluations were adhered to in frequently cited RLC analyses. Four evaluation standards were identified and used to assess the RLC analyses: lack of bias in the selection of both (a) treated sites and (b) comparison sites, (c) integration of relevant control variables in the analysis, and (d) full disclosure of results of the statistical analysis. Six leading RLC studies were then critiqued. Only two of the six studies adhered to the four standards and both concluded RLCs were associated with significant increases in crashes and injury or possible injury crashes. A third study reported an increase in fatal/injury crashes but did not test for statistical significance. Three studies reported equivocal findings; however, each failed to adhere to most standards. Differences in findings were attributed to the evaluation methods used. If implementing an RLC program, communities should use sound public health evaluation methods to assess effectiveness.

show abstract

“…In the above economic punishment measures, traffic cameras play a vital role in the enforcement of traffic laws. However, a number of security risks are associated with this [13]. Research shows that traffic camera systems could increase the number of accidents, such as rear-ending and hurting pedestrians at certain locations.…”

Section: Traffic Managementmentioning

confidence: 99%

Human-Oriented Autonomous Traffic Simulation

Wang¹,

Zhao²,

Deng³

2021

Preprint

View full text Add to dashboard Cite

We present an innovative framework, Crowdsourcing Autonomous Traffic Simulation (CATS) framework, in order to safely implement and realize orderly traffic flows. We firstly provide a semantic description of the CATS framework using theories of economics to construct coupling constraints among drivers, in which drivers monitor each other by making use of transportation resources and driving credit. We then introduce an emotion-based traffic simulation, which utilizes the Weber-Fechner law to integrate economic factors into drivers' behaviors. Simulation results show that the CATS framework can significantly reduce traffic accidents and improve urban traffic conditions.

show abstract

Red Light Cameras Unsuccessful in Reducing Fatal Crashes in Large US Cities

Cited by 9 publications

References 5 publications

Factors Associated with Pediatric Mortality from Motor Vehicle Crashes in the United States: A State-Based Analysis

Factors Associated with Pediatric Mortality from Motor Vehicle Crashes in the United States: A State-Based Analysis

Explaining Differences in Crash and Injury Crash Outcomes in Red Light Camera Studies

Human-Oriented Autonomous Traffic Simulation

Contact Info

Product

Resources

About