Modeling Wrong-way Driving (WWD) crash severity on arterials in Florida

Kadeha, Cecilia; Haule, Henrick J.; Ali, Sultan; Alluri, Priyanka; Ponnaluri, Raj

doi:10.1016/j.aap.2020.105963

Cited by 16 publications

(4 citation statements)

References 27 publications

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“…This unobserved heterogeneity is taken into account in random effects models. The relative variability that is explained by the random effects in the model was evaluated with the intra-class correlation coefficient (ICC) for the whole dataset and within the identified critical zone [ 19 , 45 , 59 ].…”

Section: Resultsmentioning

confidence: 99%

“…Studies have developed PPO models to study risk factors affecting crash injury severity concerning at-fault drivers and not at-fault drivers [ 53 ], heavy trucks [ 27 , 54 , 55 ], bicycles [ 56 ], work zones [ 57 ], rural highways [ 58 ], and wrong-way driving [ 59 ], among others. PPO models have also proven to outperform other statistical models when examining the effect of risk factors of pedestrian injuries and fatalities in traffic crashes [ 18 , 24 , 25 , 60 ].…”

Section: Literature Reviewmentioning

confidence: 99%

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Investigating the Risk Factors Associated with Injury Severity in Pedestrian Crashes in Santiago, Chile

Rampinelli

Calderón

Blázquez

et al. 2022

IJERPH

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Pedestrians are vulnerable road users that are directly exposed to road traffic crashes with high odds of resulting in serious injuries and fatalities. Therefore, there is a critical need to identify the risk factors associated with injury severity in pedestrian crashes to promote safe and friendly walking environments for pedestrians. This study investigates the risk factors related to pedestrian, crash, and built environment characteristics that contribute to different injury severity levels in pedestrian crashes in Santiago, Chile from a spatial and statistical perspective. First, a GIS kernel density technique was used to identify spatial clusters with high concentrations of pedestrian crash fatalities and severe injuries. Subsequently, partial proportional odds models were developed using the crash dataset for the whole city and the identified spatial clusters to examine and compare the risk factors that significantly affect pedestrian crash injury severity. The model results reveal higher increases in the fatality probability within the spatial clusters for statistically significant contributing factors related to drunk driving, traffic signage disobedience, and imprudence of the pedestrian. The findings may be utilized in the development and implementation of effective public policies and preventive measures to help improve pedestrian safety in Santiago.

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Section: Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Investigating the Risk Factors Associated with Injury Severity in Pedestrian Crashes in Santiago, Chile

Rampinelli

Calderón

Blázquez

et al. 2022

IJERPH

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“…Counterflow riding behavior occurs when a person intentionally or unintentionally drives against the predetermined direction [28]. Similarly, Kadeha et al [29] stated that counterflow riding behavior is the movement of vehicles in the direction opposite to the set direction. Counterflow riding behavior is classified as risky riding behavior, more precisely, violation.…”

Section: Counterflow Riding Behaviormentioning

confidence: 99%

Counterflow riding behavior of motorcyclists: The role of moral obligation and variables in The Theory of Planned Behavior

Sirait,

Santoso

2024

IOP Conf. Ser.: Earth Environ. Sci.

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Motorcycles are one of the most popular modes of transportation in Indonesia because of their various benefits. However, these benefits are followed by increased traffic violations, one of which is counterflow riding behavior. This study aimed to examine the more consistent relationship among variables relating to The Theory of Planned Behavior, namely attitude, subjective norm, and perceived behavioral control, as well as the variable of moral obligation with counterflow riding behavior. A correlational study was conducted on 151 motorcyclists aged 18 – 64, domiciled in Jabodetabek (Jakarta, Bogor, Depok, Tangerang, and Bekasi), with active driver’s licenses, and have done counterflow riding behavior. The results showed that attitude and moral obligation significantly correlated to counterflow riding behavior. Among the two variables, moral obligation is more consistently correlated with counterflow riding behavior than attitude. These findings imply that serious and consistent efforts are needed from law enforcement officials to educate and promote sanctions in curbing the counterflow riding behavior of motorcyclists.

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“…Provision of excessive green time on transit corridors will reduce green time on the cross street, a situation that may impose frustration on cross-road users. Also, the pedestrians intending to cross the transit corridor on arterial may be tempted to jay-walk because of excessive waiting time (27,59,60).…”

Section: Safety Effectiveness Of Tspmentioning

confidence: 99%

Safety Impacts of Transit Signal Priority Using a Full Bayesian Approach

Ali

Kitali

Kodi

et al. 2021

Transportation Research Record: Journal of the Transportation R

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Transit signal priority (TSP) is a strategy that prioritizes the movement of transit vehicles through a signalized intersection to provide better transit travel time reliability and minimize transit delay. Although TSP is primarily intended to improve the operational performance of transit vehicles, it may also have substantial safety benefits. This study explored the potential safety benefits of the TSP strategy deployed at various locations in Florida. An observational before–after full Bayes (FB) approach with a comparison group was adopted to estimate the crash modification factors (CMFs) for total crashes, rear-end crashes, sideswipe crashes, and angle crashes. The analysis was based on 12 corridors equipped with the TSP system and their corresponding 29 comparison corridors without the TSP system. The deployment of TSP was found to reduce total crashes by 7.2% (CMF = 0.928), rear-end crashes by 5.2% (CMF = 0.948), and angle crashes by 21.9% (CMF = 0.781), and these results are statistically significant at a 95% Bayesian credible interval (BCI) except for the rear-end crashes. On the other hand, sideswipe crashes increased by 6% (CMF = 1.060) although the increase was not significant at a 95% BCI. Overall, the results indicated that TSP improves safety. The findings of this study may present key considerations for transportation agencies and practitioners when planning future TSP deployments.

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Modeling Wrong-way Driving (WWD) crash severity on arterials in Florida

Cited by 16 publications

References 27 publications

Investigating the Risk Factors Associated with Injury Severity in Pedestrian Crashes in Santiago, Chile

Investigating the Risk Factors Associated with Injury Severity in Pedestrian Crashes in Santiago, Chile

Counterflow riding behavior of motorcyclists: The role of moral obligation and variables in The Theory of Planned Behavior

Safety Impacts of Transit Signal Priority Using a Full Bayesian Approach

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