Rainfall impacts on traffic safety: rain-related fatal crashes in Texas

Jackson, Terrance; Sharif, Hatim O.

doi:10.1080/19475705.2014.984246

Cited by 28 publications

(11 citation statements)

References 29 publications

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“…A previous study conducted for the nearby city of Riyadh also indicated that on average non-intersection crashes were more fatal compared to intersection crashes [59]. Similarly, the probability of low crash fatality on a rainy day having a large negative value for coefficient (β = −2.532) also appears conflicting to previous studies [60][61][62]. However, it can be argued from several previous studies that inclement weather may cause a significant reduction in vehicle speed [63][64][65].…”

Section: Crash Severity Modeling Using Logistic Regressionmentioning

confidence: 87%

The Dilemma of Road Safety in the Eastern Province of Saudi Arabia: Consequences and Prevention Strategies

Jamal

Rahman

Al-Ahmadi

et al. 2019

IJERPH

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Road traffic crashes (RTCs) are one of the most critical public health problems worldwide. The WHO Global Status Report on Road Safety suggests that the annual fatality rate (per 100,000 people) due to RTCs in the Kingdom of Saudi Arabia (KSA) has increased from 17.4 to 27.4 over the last decade, which is an alarming situation. This paper presents an overview of RTCs in the Eastern Province, KSA, from 2009 to 2016. Key descriptive statistics for spatial and temporal distribution of crashes are presented. Statistics from the present study suggest that the year 2012 witnessed the highest number of crashes, and that the region Al-Ahsa had a significantly higher proportion of total crashes. It was concluded that the fatality rate for the province was 25.6, and the mean accident to injury ratio was 8:4. These numbers are substantially higher compared to developed countries and the neighboring Gulf states. Spatial distribution of crashes indicated that a large proportion of severe crashes occurred outside the city centers along urban highways. Logistic regression models were developed to predict crash severity. Model estimation analysis revealed that crash severity can be attributed to several significant factors including driver attributes (such as sleep, distraction, overspeeding), crash characteristics (such as sudden deviation from the lane, or collisions with other moving vehicles, road fences, pedestrians, or motorcyclists), and rainy weather conditions. After critical analysis of existing safety and infrastructure situations, various suitable crash prevention and mitigation strategies, for example, traffic enforcement, traffic calming measures, safety education programs, and coordination of key stakeholders, have been proposed.

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Section: Crash Severity Modeling Using Logistic Regressionmentioning

confidence: 87%

The Dilemma of Road Safety in the Eastern Province of Saudi Arabia: Consequences and Prevention Strategies

Jamal

Rahman

Al-Ahmadi

et al. 2019

IJERPH

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“…The first employed a simple regression model based on a leastsquares estimate and evaluation of the statistical significance of slopes, based on the t test. The second -nonparametric -approach evaluated the significance of the trend by means of the Mann-Kendall (Kendall, 1975) test and Sen's method for assessment of the magnitude of the trend. In the latter approach, the data need not conform to any particular distribution.…”

Section: Methodsmentioning

confidence: 99%

“…On a wider scale, there exist many papers that address the effects of various weather conditions and floods on vehicle transport and accidents (e.g. Andrey et al, 2003Andrey et al, , 2010Eisenberg and Warner, 2005;Brijs et al, 2008;Diakakis and Deligiannakis, 2013;Jackson and Sharif, 2016;Han and Sharif, 2020a, b). However, studies of weather-related casualties arising out of vehicle accidents are absent for the Czech Republic.…”

Section: Introductionmentioning

confidence: 99%

Fatalities associated with the severe weather conditions in the Czech Republic, 2000–2019

Brázdil

Chromá

Dolák

et al. 2021

Nat. Hazards Earth Syst. Sci.

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Abstract. This paper presents an analysis of fatalities attributable to weather conditions in the Czech Republic during the 2000–2019 period. The database of fatalities deployed contains information extracted from Právo, a leading daily newspaper, and Novinky.cz, its internet equivalent, supplemented by a number of other documentary sources. The analysis is performed for floods, windstorms, convective storms, rain, snow, glaze ice, frost, heat, and fog. For each of them, the associated fatalities are investigated in terms of annual frequencies, trends, annual variation, spatial distribution, cause, type, place, and time as well as the sex, age, and behaviour of casualties. There were 1164 weather-related fatalities during the 2000–2019 study period, exhibiting a statistically significant falling trend. Those attributable to frost (31 %) predominated, followed by glaze ice, rain, and snow. Fatalities were at their maximum in January and December and at their minimum in April and September. Fatalities arising out of vehicle accidents (48 %) predominated in terms of structure, followed by freezing or hypothermia (30 %). Most deaths occurred during the night. Adults (65 %) and males (72 %) accounted for the majority of fatalities, while indirect fatalities were more frequent than direct ones (55 % to 45 %). Hazardous behaviour accounted for 76 %. According to the database of the Czech Statistical Office, deaths caused by exposure to excessive natural cold are markedly predominant among five selected groups of weather-related fatalities, and their numbers exhibit a statistically significant rise during 2000–2019. Police yearbooks of the fatalities arising out of vehicle accidents indicate significantly decreasing trends in the frequency of inclement weather patterns associated with fatal accidents as well as a decrease in their percentage in annual numbers of fatalities. The discussion of results includes the problems of data uncertainty, comparison of different data sources, and the broader context.

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“…Jackson and Sharif ( 9 ) used fatal crash data and geospatial analysis to examine the temporal and spatial distribution of rain-related fatal crashes in Texas from 1982 to 2011. The data obtained from the Fatality Analysis and Reporting System was used to identify spatial clustering patterns of rain-related fatal crashes and their correlation with rainfall and to compare them with spatial patterns of other crashes.…”

Section: Introductionmentioning

confidence: 99%

“…Note: SPF ¼ safety performance function; SD ¼ standard deviation; ADT ¼average daily traffic; vpd ¼ vehicles per day; na ¼ not applicable.362Transportation Research Record 2674(9) …”

mentioning

confidence: 99%

Determining Skid Resistance Needs on Horizontal Curves for Different Levels of Precipitation

Geedipally

Das

Pratt

et al. 2020

Transportation Research Record

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Horizontal curves are a major cause of crashes that lead to fatal and serious injuries. Much research has been conducted on the safety implications of geometric and traffic characteristics of curves. Variables describing curve geometry and speed have been incorporated into safety prediction methodologies. However, relatively less research has been conducted on the effects of pavement friction and weather data on safety. The objective of this study is to develop a methodology for determining the pavement friction needs for different levels of precipitation. To accomplish the study objective, rural two-lane, four-lane undivided, and four-lane divided horizontal curve data from Texas were used. Safety prediction models were developed that included traffic and geometric characteristics, skid number, and annual precipitation rate. These models were then used to develop the guidelines for assessing the safety performance of a curve of interest by accounting for curve geometry, pavement skid resistance, and exposure to the wet-weather conditions that are most relevant for considerations of skid resistance. For conducting a planning-level analysis to identify candidate sites for pavement friction treatments, researchers developed thresholds based on the combined effect of skid number and annual precipitation variables. Researchers also provided skid number thresholds for high-priority sites for two example locations that experience significantly different levels of annual precipitation.

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Rainfall impacts on traffic safety: rain-related fatal crashes in Texas

Cited by 28 publications

References 29 publications

The Dilemma of Road Safety in the Eastern Province of Saudi Arabia: Consequences and Prevention Strategies

The Dilemma of Road Safety in the Eastern Province of Saudi Arabia: Consequences and Prevention Strategies

Fatalities associated with the severe weather conditions in the Czech Republic, 2000–2019

Determining Skid Resistance Needs on Horizontal Curves for Different Levels of Precipitation

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