Odds of work zone crash occurrence and getting involved in advance warning, transition, and activity areas by injury severity

Koilada, Krupanidhi; Mane, Ajinkya S.; Pulugurtha, Srinivas S.

doi:10.1016/j.iatssr.2019.07.003

Cited by 11 publications

(6 citation statements)

References 20 publications

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“…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%

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: 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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“…Note that these studies dealt with multiple injury severity levels whereas this study only deals with two (injury and property damage only [PDO]). As shown, these studies have examined the effect of different collision types ( 3 ), work zone configurations ( 4 ), crash location in work zones ( 5 , 6 ), and environmental conditions ( 7 ) on work zone crash injury severity. Both parametric ( 3 – 6 , 8 ) and machine learning models ( 7 , 9 , 10 ) have been used to determine the contributing factors.…”

Section: Literature Reviewmentioning

confidence: 99%

“…As shown, these studies have examined the effect of different collision types ( 3 ), work zone configurations ( 4 ), crash location in work zones ( 5 , 6 ), and environmental conditions ( 7 ) on work zone crash injury severity. Both parametric ( 3 – 6 , 8 ) and machine learning models ( 7 , 9 , 10 ) have been used to determine the contributing factors. In most of these studies, the exploratory variables for injury severity include driver, vehicle, environmental, and roadway characteristics as well as weather conditions.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The safety of workers during highway construction or maintenance is a major concern and well-recognized problem by the state Departments of Transportation (DOTs) because work zones alter the normal traffic flow requiring motorists to change their speeds, process information from roadside signs, make merging maneuvers, and travel next to cones or barricades (1). These activities can lead to vehicular crashes and injury to motorists and workers in the work zones (2)(3)(4)(5)(6)(7)(8)(9)(10). In the state of South Carolina, the number of construction projects has increased steadily over the last several years.…”

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confidence: 99%

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Analysis of Temporal Stability of Contributing Factors to Truck-Involved Crashes at Work Zones in South Carolina

Ahmed

Siddiqui²,

Huynh

2022

Transportation Research Record: Journal of the Transportation R

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This study examines factors that contributed to truck-involved work zone crash injury in South Carolina, a state which experienced a rise in the number of injury crashes from 2014 to 2018. The outcome of interest is injury or property damage only (PDO) crashes. A binary logit model is developed using South Carolina statewide work zone crash data from 2014 to 2018. It considers various factors, including vehicle, crash, roadway, environment, day and time, and driver-related characteristics. Of particular interest to this study is the temporal stability of the contributing factors from year to year so that a long-term mitigating strategy can be developed. To this end, the test for parameter transferability is used, and it confirms that separate models should be used for each year, except for 2014. The only factor found to be temporally stable across all years (i.e., statistically significant in 2015–2018 models) is airbag deployment. Given that nearly all the factors are temporally unstable, an importance measure is introduced to enable transportation agencies to rank factors and develop countermeasures that target persistent contributing factors. Based on the importance measure, the top three ranked factors that contributed to work zone truck-involved crash injury in South Carolina from 2015 to 2018 are: (i) airbags deployed, (ii) tie between rear-end crashes and crashes on primary roadways, and (iii) crashes in dark conditions.

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“…e current research is mainly divided into three aspects. Firstly, they analyzed the characteristics (e.g., crash severity, crash rate, and crash types) of the historic accident data and established the risk prediction model [5][6][7][8]. Secondly, they carried out a risk assessment based on the theory of traffic conflicts using the nonaccident data (e.g., the time to collision and deceleration rate to avoid the crash) [9][10][11][12].…”

Section: Literature Reviewmentioning

confidence: 99%

The Driving Risk Analysis and Evaluation in Rightward Zone of Expressway Reconstruction and Extension Engineering

Zhang

Wang

Yang

et al. 2020

Journal of Advanced Transportation

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In the expressway reconstruction and expansion engineering, the form of rightward zone is increasingly adopted, and its complicated traffic conditions can easily cause traffic accidents. In order to quickly and effectively grasp the traffic risk of the right diversion section, this study employs average speed, the coefficient of variation, the equivalent minimum safety distance, and the deceleration as evaluation indexes of driving risk, and then analyses the influence rules of traffic volume, the proportion of large vehicles, and the length of the transition section on each evaluation index by using Vissim simulation software. On the basis of this, we determine the weight of each evaluation index by the entropy method and establish the driving risk index evaluation model of the work zone with multiple linear regression. The results show that the partial regression coefficients of traffic volume, the proportion of large vehicles, and the length of the transition section to the driving risk index are 0.059, 0.317, and 0.15, respectively. Finally, in this paper, we analyze the traffic risk of example section based on the driving risk evaluation model. The results of evaluation are consistent with the number of measured conflicts. This study proposes a new method for predicting the traffic risk of the expressway reconstruction and extension engineering, which can provide a reference for the development of safety management measures in the rightward zone.

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Odds of work zone crash occurrence and getting involved in advance warning, transition, and activity areas by injury severity

Cited by 11 publications

References 20 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

Analysis of Temporal Stability of Contributing Factors to Truck-Involved Crashes at Work Zones in South Carolina

The Driving Risk Analysis and Evaluation in Rightward Zone of Expressway Reconstruction and Extension Engineering

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