4.6 Article

Differences of overturned and hit-fixed-object crashes on rural roads accompanied by speeding driving: Accommodating potential temporal shifts

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Public, Environmental & Occupational Health

The impact of higher speed limits on the frequency and severity of freeway crashes: Accounting for temporal shifts and unobserved heterogeneity

Nawaf Alnawmasi et al.

Summary: Recent increases in maximum interstate speed limits in the US have not significantly affected crash frequencies, but have shown some changes in injury severities. The findings suggest that higher speed limits may contribute to increased injury severities in single-vehicle crashes.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2022)

Article Public, Environmental & Occupational Health

A note on out-of-sample prediction, marginal effects computations, and temporal testing with random parameters crash-injury severity models

Qinzhong Hou et al.

Summary: Random parameters logit models have become popular for investigating crash-injury severities, with the model incorporating heterogeneity in means and variances showing superior predictive performance. Different methods for computing marginal effects and testing temporal instability were considered, with pairwise comparison proving to provide more detailed insights into temporal variability.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2022)

Article Public, Environmental & Occupational Health

Differences between day and night pedestrian-injury severities: Accounting for temporal and unobserved effects in prediction

Asim Alogaili et al.

Summary: This study explores the differences in pedestrian injury severities between day and night vehicle-pedestrian crashes in Kansas over a five-year period. The findings suggest a clear day-night difference in injury severities, with nighttime crashes consistently resulting in more severe injuries. Factors affecting pedestrian injury severities were found to change over time.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2022)

Article Ergonomics

A correlated random parameters approach to investigate large truck rollover crashes on mountainous interstates

Anas Alrejjal et al.

Summary: This study utilized a correlated random parameters logit modeling framework to investigate the rollover risk of single-truck crashes on mountainous interstates, identifying effective safety countermeasures. The results indicated that factors such as veering off the road, overcorrections, and severe winds increased the risk of rollovers, while median barriers, roadside guardrails, tight horizontal curves, icy road surfaces, wet surfaces, and surfaces covered by loose material decreased the likelihood of rollovers. Correlations between severe winds and icy surfaces, as well as between roadside guardrails and icy surfaces, were also inferred.

ACCIDENT ANALYSIS AND PREVENTION (2021)

Article Ergonomics

Investigation of injury severities in single-vehicle crashes in North Carolina using mixed logit models

Carlos Roque et al.

Summary: Roadway departure (RwD) crashes, including run-off-road (ROR) and cross-median/ centerline head-on collisions, are among the most lethal crash types, contributing to a significant portion of traffic fatalities. Factors such as driver conditions, environmental conditions, roadway geometric design features, and vehicle conditions have been found to significantly influence the severity of ROR crashes. The results of the study provide valuable insights for improving roadside design policies and implementing measures to reduce the severity of road departure crashes.

JOURNAL OF SAFETY RESEARCH (2021)

Article Ergonomics

Injury severity analysis of rollover crashes for passenger cars and light trucks considering temporal stability: A random parameters logit approach with heterogeneity in mean and variance

Shaojie Liu et al.

Summary: This study analyzes rollover crash data in North Carolina from HSIS to investigate the instabilities of factors in different vehicle types and time periods. It identifies significant factors that show instabilities in marginal effects and provides important references for mitigating the injury severity of rollover crashes.

JOURNAL OF SAFETY RESEARCH (2021)

Article Public, Environmental & Occupational Health

Injury severity analysis of motorcycle crashes: A comparison of latent class clustering and latent segmentation based models with unobserved heterogeneity

Fangrong Chang et al.

Summary: This study compares the performance of latent class clustering and latent segmentation-based random parameter models in examining crash injury severity outcomes, finding that the latent segmentation approach is superior to the latent class clustering-based approach; random parameter variants also outperform fixed parameters, highlighting the need to consider both across- and within-group heterogeneity; the effects of exogenous variables on rider injury severity are different across year-wise models, indicating temporal instability.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2021)

Article Public, Environmental & Occupational Health

Weekly variations and temporal instability of determinants influencing alcohol-impaired driving crashes: A random thresholds random parameters hierarchical ordered probit model

Xintong Yan et al.

Summary: The study investigates the weekly transferability and temporal stability of factors determining different injury severity levels in alcohol-impaired driving crashes, finding that certain indicators exhibit relative weekly transferability and temporal stability. This can aid in preventing alcohol-impaired driving crashes and informing the development of crash injury mitigation policies.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2021)

Article Public, Environmental & Occupational Health

Exploring the effects of area-level factors on traffic crash frequency by severity using multivariate space-time models

Amin Azimian et al.

Summary: The study reveals positive associations between primary roadway density and all crash severities, as well as negative associations between intersection density and injury and no injury crashes. School density and rates of driving under the influence are positively associated with no injury crashes. Mean travel time to the hospital is positively associated with fatal crashes, while urbanity is negatively associated.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2021)

Article Public, Environmental & Occupational Health

Do high visibility crosswalks improve pedestrian safety? A correlated grouped random parameters approach using naturalistic driving study data

Sarvani Sonduru Pantangi et al.

Summary: This study assessed the effectiveness of High-Visibility Crosswalks (HVCs) in improving pedestrian safety at urban settings using SHRP2 NDS data. The results showed that the presence of HVC modifies driving behavior, reducing the risk of motor vehicle - pedestrian conflicts.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2021)

Article Public, Environmental & Occupational Health

Comparative analysis of alternative random parameters count data models in highway safety

Qinzhong Hou et al.

Summary: This study thoroughly evaluated six different models for handling unobserved heterogeneity and found that the random parameters approach is the most effective. Complex models can provide more insights but come with higher computational costs.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2021)

Article Public, Environmental & Occupational Health

Temporal analysis of crash severities involving male and female drivers: A random parameters approach with heterogeneity in means and variances

Xintong Yan et al.

Summary: This paper investigates how male and female drivers affect crash severity by estimating random parameters logit models, finding statistically significant temporal instability in crashes involving both genders over a five-year period.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2021)

Article Public, Environmental & Occupational Health

Fusion convolutional neural network-based interpretation of unobserved heterogeneous factors in driver injury severity outcomes in single-vehicle crashes

Hao Yu et al.

Summary: A FCNN-R model is proposed for driver injury severity analysis, which outperformed other typical approaches in predictability comparison. The model's stability and predictive performance are improved by introducing dropout layer and regularization technique, demonstrating better performance than traditional models.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2021)

Article Public, Environmental & Occupational Health

A correlated random parameters with heterogeneity in means approach of deer-vehicle collisions and resulting injury-severities

Sheikh Shahriar Ahmed et al.

Summary: The study found that deer-vehicle collisions are more likely to occur in rural areas, during dark lighting conditions, and during deer breeding season. Female drivers are more likely to hit deer, while the use of restraints can prevent injuries or fatalities.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2021)

Article Public, Environmental & Occupational Health

Driving under the influence of drugs or alcohol: Predicting the intentions of young drivers

Daniel Vankov et al.

Summary: This study utilized an extended Theory of Planned Behavior model to explore the factors influencing young drivers' intentions to drive under the influence. By examining the predictors of DUI intentions, researchers and practitioners can develop interventions and strategies tailored specifically for the high-risk population of young drivers.

TRAFFIC INJURY PREVENTION (2021)

Article Public, Environmental & Occupational Health

Time-of-day variations and the temporal instability of multi-vehicle crash injury severities under the influence of alcohol or drugs after the Great Recession

Li Song et al.

Summary: This paper explores the factors affecting alcohol/drug-impaired crash injury severities during three crash cycle phases after the Great Recession using data from North Carolina from 2008 to 2017. Significant time-of-day variations and temporal instabilities were observed, with insights suggesting the importance of accounting for these variations in enforcing laws and designing preventive activities.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2021)

Article Public, Environmental & Occupational Health

Spatiotemporal instability analysis considering unobserved heterogeneity of crash-injury severities in adverse weather

Xintong Yan et al.

Summary: The study investigated specific factors related to crash severity in adverse weather conditions. Results showed overall spatiotemporal instability, with certain indicators such as insurance, overturning, proceeding, and early morning exhibiting relative stability.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2021)

Review Public, Environmental & Occupational Health

A systematic review of traffic conflict-based safety measures with a focus on application context

Ashutosh Arun et al.

Summary: Conflict-based road safety assessment provides additional insights into crash causation processes, with time-related measures being widely used. Various types of conflict measures are applied based on different contexts, highlighting critical gaps in the literature for future research directions.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2021)

Article Public, Environmental & Occupational Health

Addressing unobserved heterogeneity in the analysis of bicycle crash injuries in Scotland: A correlated random parameters ordered probit approach with heterogeneity in means

Grigorios Fountas et al.

Summary: This study investigates the determinants of injury severities in single-bicycle and bicycle-motor vehicle crashes using correlated random parameter ordered probit models. The findings show that the determinants of injury severities vary between the two types of crashes, with some common factors having different effects. The proposed methodological framework demonstrates relative benefits in terms of statistical fit, explanatory power, and forecasting accuracy compared to less sophisticated models.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2021)

Article Public, Environmental & Occupational Health

Temporal stability of factors influencing driver-injury severities in single-vehicle crashes: A correlated random parameters with heterogeneity in means and variances approach

Chamroeun Se et al.

Summary: This study investigates the temporal instability of contributing factors of driver-injury severities in single-vehicle crashes and finds substantial instability in factors such as driver gender, speeding, and crash locations across different time periods. The findings highlight the importance of considering temporal instability in influencing the outcomes of driver-injury severities. Neglecting temporal instability in crash severity studies may lead to biased and inaccurate conclusions.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2021)

Article Public, Environmental & Occupational Health

Temporal stability of pedestrian injury severity in pedestrian-vehicle crashes: New insights from random parameter logit model with heterogeneity in means and variances

Ali Zamani et al.

Summary: Pedestrians are the most vulnerable road users, and their safety is crucial for transportation agencies and safety researchers. Studies have shown that the variables affecting pedestrian injury severity have significantly changed over different years, highlighting the need for dynamic analysis and consideration of temporal variations.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2021)

Article Ergonomics

The role of gender and temporal instability in driver-injury severities in crashes caused by speeds too fast for conditions

Mouyid Islam et al.

Summary: The impact of inappropriate speed adjustment on crash injury severity is not well understood, particularly in rainy conditions. Significant differences were found between male and female drivers in terms of injury severity probabilities, with some variables showing consistent effects over time.

ACCIDENT ANALYSIS AND PREVENTION (2021)

Article Public, Environmental & Occupational Health

Temporal stability of driver injury severity in single-vehicle roadway departure crashes: A random thresholds random parameters hierarchical ordered probit approach

Miao Yu et al.

Summary: This study applied the HOPIT method to analyze single-vehicle roadway departure crash data from North Carolina from 2014 to 2017, finding that some factors have relatively stable effects on injury severity while others exhibit temporal instability. This presents a caution for decision-makers in handling these factors carefully.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2021)

Review Public, Environmental & Occupational Health

Modeling traffic conflicts for use in road safety analysis: A review of analytic methods and future directions

Lai Zheng et al.

Summary: The limitations of crash data and crash-based methods have led to the study of alternate safety measures like traffic conflicts. These alternative measures are expected to have a significant impact on road safety analysis in the era of connected and autonomous vehicles, requiring further research efforts to improve the modeling of traffic conflicts.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2021)

Article Public, Environmental & Occupational Health

Day-of-the-week variations and temporal instability of factors influencing pedestrian injury severity in pedestrian-vehicle crashes: A random parameters logit approach with heterogeneity in means and variances

Yang Li et al.

Summary: This study utilizes pedestrian-vehicle crash data from North Carolina between 2007 and 2018 to examine the influence of various factors on pedestrian injury severity, revealing stable effects for some factors across different time periods but strong temporal instabilities for most factors. The model accounts for heterogeneity in means and variances of random parameters, offering insights for policymakers to improve pedestrian safety within the transportation system.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2021)

Article Public, Environmental & Occupational Health

Factors affecting injury severity of single-vehicle rollover crashes in the United States

Ihsan Ullah Khan et al.

TRAFFIC INJURY PREVENTION (2020)

Article Public, Environmental & Occupational Health

The influence of traffic, geometric and context variables on urban crash types: A grouped random parameter multinomial logit approach

Paolo Intini et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2020)

Article Public, Environmental & Occupational Health

Unobserved heterogeneity and temporal instability in the analysis of work-zone crash-injury severities

Mouyid Islam et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2020)

Article Ergonomics

Temporal stability of the factors related to the severity of drivers' injuries in rear-end collisions

Essam Dabbour et al.

ACCIDENT ANALYSIS AND PREVENTION (2020)

Article Engineering, Industrial

Determinant of injury severities in large truck crashes: A weekly instability analysis

Ali Behnood et al.

SAFETY SCIENCE (2020)

Article Public, Environmental & Occupational Health

The joint effect of weather and lighting conditions on injury severities of single-vehicle accidents

Grigorios Fountas et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2020)

Article Public, Environmental & Occupational Health

Temporal stability of driver injury severities in animal-vehicle collisions: A random parameters with heterogeneity in means (and variances) approach

Nabeel Saleem Saad Al-Bdairi et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2020)

Article Public, Environmental & Occupational Health

Big data, traditional data and the tradeoffs between prediction and causality in highway-safety analysis

Fred Mannering et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2020)

Article Public, Environmental & Occupational Health

A temporal analysis of driver-injury severities in crashes involving aggressive and non-aggressive driving

Mouyid Islam et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2020)

Article Public, Environmental & Occupational Health

Analysis of injury severity of rear-end crashes in work zones: A random parameters approach with heterogeneity in means and variances

Miao Yu et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2020)

Article Ergonomics

Severity analysis for large truck rollover crashes using a random parameter ordered logit model

Ghazaleh Azimi et al.

ACCIDENT ANALYSIS AND PREVENTION (2020)

Article Public, Environmental & Occupational Health

A marginalized random effects hurdle negative binomial model for analyzing refined-scale crash frequency data

Rongjie Yu et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2019)

Article Public, Environmental & Occupational Health

A statistical assessment of temporal instability in the factors determining motorcyclist injury severities

Nawaf Alnawmasi et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2019)

Article Public, Environmental & Occupational Health

Analyzing road crash frequencies with uncorrelated and correlated random-parameters count models: An empirical assessment of multilane highways

Tariq Usman Saeed et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2019)

Article Public, Environmental & Occupational Health

Time-of-day variations and temporal instability of factors affecting injury severities in large-truck crashes

Ali Behnood et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2019)

Article Public, Environmental & Occupational Health

Crash severity along rural mountainous highways in Malaysia: An application of a combined decision tree and logistic regression model

Rusdi Rusli et al.

TRAFFIC INJURY PREVENTION (2018)

Article Public, Environmental & Occupational Health

Analysis of accident injury-severity outcomes: The zero-inflated hierarchical ordered probit model with correlated disturbances

Grigorios Fountas et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2018)

Article Public, Environmental & Occupational Health

Evaluating temporal variability of exogenous variable impacts over 25 years: An application of scaled generalized ordered logit model for driver injury severity

Robert Marcoux et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2018)

Article Public, Environmental & Occupational Health

Analysis of vehicle accident-injury severities: A comparison of segment-versus accident-based latent class ordered probit models with class-probability functions

Grigorios Fountas et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2018)

Article Public, Environmental & Occupational Health

Analysis of accident injury-severities using a correlated random parameters ordered probit approach with time variant covariates

Grigorios Fountas et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2018)

Article Psychology, Applied

Effect of road geometry on driver fatigue in monotonous environments: A simulator study

Behzad Farahmand et al.

TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR (2018)

Article Ergonomics

Latent class analysis of factors that influence weekday and weekend single-vehicle crash severities

Emmanuel Kofi Adanu et al.

ACCIDENT ANALYSIS AND PREVENTION (2018)

Article Public, Environmental & Occupational Health

Temporal instability and the analysis of highway accident data

Fred Mannering

ANALYTIC METHODS IN ACCIDENT RESEARCH (2018)

Article Public, Environmental & Occupational Health

Exploring driver injury severity patterns and causes in low visibility related single-vehicle crashes using a finite mixture random parameters model

Zhenning Li et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2018)

Article Public, Environmental & Occupational Health

The effects of drug and alcohol consumption on driver injury severities in single-vehicle crashes

Ali Behnood et al.

TRAFFIC INJURY PREVENTION (2017)

Article Public, Environmental & Occupational Health

Roadway classifications and the accident injury severities of heavy-vehicle drivers

Jason Anderson et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2017)

Article Public, Environmental & Occupational Health

Occupant injury severities in hybrid-vehicle involved crashes: A random parameters approach with heterogeneity in means and variances

Puttipan Seraneeprakarn et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2017)

Article Public, Environmental & Occupational Health

Impact of road-surface condition on rural highway safety: A multivariate random parameters negative binomial approach

Sikai Chen et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2017)

Article Public, Environmental & Occupational Health

Determinants of bicyclist injury severities in bicycle-vehicle crashes: A random parameters approach with heterogeneity in means and variances

Ali Behnood et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2017)

Article Public, Environmental & Occupational Health

A random thresholds random parameters hierarchical ordered probit analysis of highway accident injury-severities

Grigorios Fountas et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2017)

Article Public, Environmental & Occupational Health

The effect of passengers on driver-injury severities in single-vehicle crashes: A random parameters heterogeneity-in-means approach

Ali Behnood et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2017)

Article Engineering, Civil

Comprehensive Injury Severity Analysis of SUV and Pickup Truck Rollover Crashes Alabama Case Study

Samantha Islam et al.

TRANSPORTATION RESEARCH RECORD (2016)

Article Ergonomics

Weather impacts on single-vehicle truck crash injury severity

Bhaven Naik et al.

JOURNAL OF SAFETY RESEARCH (2016)

Article Public, Environmental & Occupational Health

An empirical assessment of the effects of economic recessions on pedestrian- injury crashes using mixed and latent-class models

Ali Behnood et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2016)

Article Public, Environmental & Occupational Health

Unobserved heterogeneity and the statistical analysis of highway accident data

Fred Mannering et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2016)

Article Public, Environmental & Occupational Health

The temporal stability of factors affecting driver-injury severities in single-vehicle crashes: Some empirical evidence

Ali Behnood et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2015)

Article Public, Environmental & Occupational Health

A comparison of the mixed logit and latent class methods for crash severity analysis

Donald Mathew Lerwick et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2014)

Article Public, Environmental & Occupational Health

A latent segmentation based generalized ordered logit model to examine factors influencing driver injury severity

Shamsunnahar Yasmin et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2014)

Article Public, Environmental & Occupational Health

Analytic methods in accident research: Methodological frontier and future directions

Fred Mannering et al.

ANALYTIC METHODS IN ACCIDENT RESEARCH (2014)

Article Ergonomics

The crash severity impacts of fixed roadside objects

JM Holdridge et al.

JOURNAL OF SAFETY RESEARCH (2005)