Exploring traffic safety culture and drunk driving: An examination of the community and DUI related fatal crashes in the U.S. (1993–2015)

Stringer, Richard J.

doi:10.1016/j.trf.2018.05.014

Cited by 18 publications

(11 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Stringer [48] received the highest quality score among the included studies, suggesting that this paper was the most rigorous. The weaknesses identified in Stringer [48] did not seriously undermine the validity of the results. The most important result was based on longitudinal data; crash history and offense history significantly predict future fatal crashes with crash history being the more important predictor.…”

Section: Critical Summary Of Other Modeling Techniques Utilized In Thmentioning

confidence: 97%

“…Analyses other than logistic regression produced comparable findings. Based on longitudinal data, Stringer [48] found that crash history and offense history significantly predict future fatal crashes with crash history being the more important predictor. Yuan et al [2019] found that prior suspension and speeding convictions are associated with fatal accidents.…”

Section: Qualitative Synthesis Of Study Outcomesmentioning

confidence: 99%

“…Three studies used a modeling technique other than logistic regression: survival analysis [31], Poisson multilevel growth curve modeling [48], and structural equation modeling [50]. The use of survival analysis was largely responsible for Lui and Marchbanks article [31] receiving a high-quality score, with many statistical considerations not being applicable.…”

Section: Critical Summary Of Other Modeling Techniques Utilized In Thmentioning

confidence: 99%

“…These limitations reduce the generalization and utility of the model. A Poisson multi-level growth curve model was used by Stringer [48] to address the question, "What is the probability that in a given period an FSI crash will occur?" Stringer [48] received the highest quality score among the included studies, suggesting that this paper was the most rigorous.…”

Section: Critical Summary Of Other Modeling Techniques Utilized In Thmentioning

confidence: 99%

“…A Poisson multi-level growth curve model was used by Stringer [48] to address the question, "What is the probability that in a given period an FSI crash will occur?" Stringer [48] received the highest quality score among the included studies, suggesting that this paper was the most rigorous. The weaknesses identified in Stringer [48] did not seriously undermine the validity of the results.…”

Section: Critical Summary Of Other Modeling Techniques Utilized In Thmentioning

confidence: 99%

See 4 more Smart Citations

A systematic review of statistical models and outcomes of predicting fatal and serious injury crashes from driver crash and offense history data

et al. 2020

View full text Add to dashboard Cite

Background Expenditure on driver-related behavioral interventions and road use policy is often justified by their impact on the frequency of fatal and serious injury crashes. Given the rarity of fatal and serious injury crashes, offense history, and crash history of drivers are sometimes used as an alternative measure of the impact of interventions and changes to policy. The primary purpose of this systematic review was to assess the rigor of statistical modeling used to predict fatal and serious crashes from offense history and crash history using a purpose-made quality assessment tool. A secondary purpose was to explore study outcomes. Methods Only studies that used observational data and presented a statistical model of crash prediction from offense history or crash history were included. A quality assessment tool was developed for the systematic evaluation of statistical quality indicators across studies. The search was conducted in June 2019. Results One thousand one hundred and five unique records were identified, 252 full texts were screened for inclusion, resulting in 20 studies being included in the review. The results indicate substantial and important limitations in the modeling methods used. Most studies demonstrated poor statistical rigor ranging from low to middle quality. There was a lack of confidence in published findings due to poor variable selection, poor adherence to statistical assumptions relating to multicollinearity, and lack of validation using new data. Conclusions It was concluded that future research should consider machine learning to overcome correlations in the data, use rigorous vetting procedures to identify predictor variables, and validate statistical models using new data to improve utility and generalizability of models. Systematic review registration PROSPERO CRD42019137081

show abstract

Section: Critical Summary Of Other Modeling Techniques Utilized In Thmentioning

confidence: 97%

Section: Qualitative Synthesis Of Study Outcomesmentioning

confidence: 99%

Section: Critical Summary Of Other Modeling Techniques Utilized In Thmentioning

confidence: 99%

Section: Critical Summary Of Other Modeling Techniques Utilized In Thmentioning

confidence: 99%

Section: Critical Summary Of Other Modeling Techniques Utilized In Thmentioning

confidence: 99%

See 3 more Smart Citations

A systematic review of statistical models and outcomes of predicting fatal and serious injury crashes from driver crash and offense history data

et al. 2020

View full text Add to dashboard Cite

show abstract

Policing The Drunk Driving Problem: A Longitudinal Examination of DUI Enforcement and Alcohol Related Crashes in the U.S. (1985–2015)

Stringer

2018

Am J Crim Just

View full text Add to dashboard Cite

Policing The Drinking Community: An Exploration of Community Alcohol Norms and Driving Under the Influence Enforcement (1985-2014)

Stringer

2023

Am J Crim Just

View full text Add to dashboard Cite

Exploring traffic safety culture and drunk driving: An examination of the community and DUI related fatal crashes in the U.S. (1993–2015)

Cited by 18 publications

References 46 publications

A systematic review of statistical models and outcomes of predicting fatal and serious injury crashes from driver crash and offense history data

A systematic review of statistical models and outcomes of predicting fatal and serious injury crashes from driver crash and offense history data

Policing The Drunk Driving Problem: A Longitudinal Examination of DUI Enforcement and Alcohol Related Crashes in the U.S. (1985–2015)

Policing The Drinking Community: An Exploration of Community Alcohol Norms and Driving Under the Influence Enforcement (1985-2014)

Contact Info

Product

Resources

About