Impact of risk factors on work zone crashes using logistic models and Random Forest

Ashqar, Huthaifa I.; Shaheen, Qadri H; Ashur, Suleiman; Rakha, Hesham

doi:10.48550/arxiv.2104.06561

Cited by 1 publication

(4 citation statements)

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“…The positive coefficient shows the probability of work zone crashes was higher than when alcohol was not involved. This result is consistent with other studies that found alcohol to be a significant factor in work zone crashes (7,12,14,19,26). A study in Florida stated that drivers under the influence are 10.53 times more likely to be involved in work zone crashes compared with sober drivers (26).…”

Section: Factors That Policy Recommendations May Benefit In the Futuresupporting

confidence: 93%

“…It was found that traffic control to regulate the speed of vehicles coming into the work zone was important, because rear-end and sideswipe crashes were the predominant types. Poor light conditions, distracted driving, and driving under the influence were also found to be among the risk factors (7). Garber and Zhao (8) found that a large speed variance is a significant factor in work zone crashes.…”

Section: Literature Reviewmentioning

confidence: 97%

“…Many studies on improving work zone safety have examined associated factors, and different statistical methods have been used to analyze the crashes involved (7)(8)(9)(10)(11)(12)(13)(14)(15)(16). Ashqar et al identified risk factors from crash data analysis using work zone crashes that occurred in 2016 in Michigan.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The positive coefficient denotes that the probability of work zone crashes was higher during daylight compared with night conditions. However, some studies found that dark or poor light conditions meant there was a higher likelihood of a severe crash in work zones (7,12,15,20,(25)(26)(27). One study found that if there was poor or no lighting during nighttime in work zones, vehicles were 28% more prone to crashes compared with non-work zone locations (12).…”

Section: Factors With No Corresponding Policy Recommendationsmentioning

confidence: 99%

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Factors Associated with Work Zone Crashes

Mohammed

Chang

Schrock

2023

Transportation Research Record: Journal of the Transportation R

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Nationally, the annual number of fatal crashes in work zones over the past decade (2010–2019) increased from 521 to 762, which led to rising fatalities from 546 in 2010 to 842 in 2019. Traffic safety in work zones with the aim of reducing fatal and serious injury crashes has been under investigation by researchers and related agencies for decades. The main objective of this study was to investigate the factors associated with work zone crashes to recommend policies targeted at addressing them. Data collected by the Kansas Department of Transportation on crashes that occurred between 2016 and 2020 were used for this research. For the statistical model, binary logistic regression was used in which the dichotomous response variable was defined as either crashes in work zones or crashes outside work zones. According to the model’s results, several significant factors were associated with work zone crashes. Those that had a reasonable expectation of improvement through state policies included the following: alcohol involvement; driver distraction; large commercial vehicle involvement; pedestrian involvement; single-vehicle crashes; speed limits, and speeding. Although these may already be areas targeted in a state’s strategic highway safety plan, special consideration of the overrepresentation of these factors in work zones can provide additional policy options for consideration. Existing countermeasures can be explored, or new countermeasures can be developed based on the needs of the existing conditions.

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Section: Factors That Policy Recommendations May Benefit In the Futuresupporting

confidence: 93%

Section: Literature Reviewmentioning

confidence: 97%