2022
DOI: 10.3390/su14031692
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Analysis of Crash Severity of Texas Two Lane Rural Roads Using Solar Altitude Angle Based Lighting Condition

Abstract: Many studies have examined the impact of factors affecting accident severity in rural areas; however, little attention has been paid to different lighting conditions (LCs), and less to the detailed categories and precise determining of twilight. In this paper, solar altitude angle (SAA), as a basis for differentiating and categorizing LCs, is proposed to investigate explanatory variables in much greater detail. For each LC, namely, dark, twilight, dark lit (dark with street lights) and daylight, separate rando… Show more

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Cited by 9 publications
(4 citation statements)
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“…In addition to that, there were high and dense traffic crashes registered yearly. To achieve significant results and fulfill the minimum requirement, the study used 5-year data from 2017 to 2021 [20].…”
Section: Data Type Source and Methods Of Collectionmentioning
confidence: 99%
“…In addition to that, there were high and dense traffic crashes registered yearly. To achieve significant results and fulfill the minimum requirement, the study used 5-year data from 2017 to 2021 [20].…”
Section: Data Type Source and Methods Of Collectionmentioning
confidence: 99%
“…Accordingly, all explanatory variables in the proposed models were significant at a confidence level greater than 90%. Moreover, in order to determine the most influential factors, marginal effects were also calculated [67]. In the following subsections, we discuss the influence of factors that have been categorized into three groups, namely, travel features and behavior characteristics, travel-related attributes of SAVs, and attitudinal and demographic factors.…”
Section: Discrete Choice Modellingmentioning
confidence: 99%
“…Sometimes research is connected only with one group of drivers, like van drivers [9], or motorcycle drivers [10]. Sometimes analysis selects a specific type of road, like in [11] or divides drivers based on age [12].…”
Section: Introductionmentioning
confidence: 99%