Factors associated with crash severities in built-up areas along rural highways of Nevada: A case study of 11 towns

Shrestha, Pramen P.; Shrestha, Kishor

doi:10.1016/j.jtte.2016.08.003

Cited by 17 publications

(6 citation statements)

References 17 publications

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“…Hereafter, the theoretical basis of this statistical method is detailed. The equation of the linear function Q that determines the injury output i for observation n can be defined as follows: (5) where I is a vector of computable coefficients, Xin is a vector of discernible features that affect the driver injury severity sustained by observation n. in is an alteration term that takes into account the no observed effects. In those cases, in which these alteration terms can be distributed independently and are equal to the generalized distribution of extreme values, the model can be represented with the following expression [49]:…”

Section: Severity Modelmentioning

confidence: 99%

Analysis of the Risk Factors Affecting the Severity of Traffic Accidents on Spanish Crosstown Roads: The Driver’s Perspective

2020

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Globally, road traffic accidents are an important public health concern which needs to be tackled. A multidisciplinary approach is required to understand what causes them and to provide the evidence for policy support. In Spain, one of the roads with the highest fatality rate is the crosstown road, a particular type of rural road in which urban and interurban traffic meet, producing conflicts and interference with the population. This paper contributes to the previous existing research on the Spanish crosstown roads, providing a new vision that had not been analyzed so far: the driver’s perspective. The main purpose of the investigation is to identify the contributing factors that increment the likelihood of a fatal outcome based on single-vehicle crashes, which occurred on Spanish crosstown roads in the period 2006-2016. In order to achieve this aim, 1064 accidents have been analyzed, applying a latent cluster analysis as an initial tool for the fragmentation of crashes. Next, a multinomial logit (MNL) model was applied to find the most important factors involved in driver injury severity. The statistical analysis reveals that factors such as lateral crosstown roads, low traffic volumes, higher percentages of heavy vehicles, wider lanes, the non-existence of road markings, and finally, infractions, increase the severity of the drivers’ injuries.

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Section: Severity Modelmentioning

confidence: 99%

Analysis of the Risk Factors Affecting the Severity of Traffic Accidents on Spanish Crosstown Roads: The Driver’s Perspective

2020

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“…The study by Li, Song, and Fan (2021) have explained the likelihood of the increased odds of fatal head-on crashes during weekends. Also, another study by Shrestha and Shrestha (2017) showed that crashes on weekdays were three times more likely to be injury crashes than on weekends.…”

Section: Day Of the Weekmentioning

confidence: 99%

Leveraging Social Media Data to Understand Spatial and Severity of Roadway Crashes in Tanzania

Kutela

Mwekh’iga²,

Kilaini³

et al. 2022

JSS

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Traffic crashes are among the major cause of fatalities in most developing countries. A lack of a centralized historical crash database impedes the efforts to perform large-scale studies to understand the causes of crashes. However, the information for most major crashes are normally shared on social media. Therefore, this study used social media posts to extract information related to head-on and run-off roadway (ROR) crashes that occurred between 2010 and 2020. A total of 661 crashes were collected, which included 409 head-on and 252 ROR crashes. Geographical Information System (GIS) applications and multinomial logit models were developed to understand the spatial distribution of crashes and the resulting severity. It was found that the spatial distribution of crashes differs significantly by type and severity. Head-on collisions were predominant in two eastern regions, while ROR collisions appeared to spread on a large scale across the entire country. The pattern of fatal collision includes one southern region in addition to the two Eastern regions. Conversely, the pattern of non-injury crashes shows predominance along the coastal area. The Multinomial model results showed that speeding was two times more likely to result in fatalities for ROR crashes. Crashes in rural areas were about two times more likely to be fatal, given that they were head-on collisions. Further, bus-involved crashes were less likely to result in injuries. The implications of these study findings to the practitioners are discussed.

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“…Researchers have employed many statistical techniques to analyze driver injury severity. Among these techniques were multinomial logit, nested logit, ordered logit, probit models, and binary logistic regression [5,[20][21][22][23][24][25][26]. The BLR can be mathematically expressed as in the following the equation:…”

Section: Data Analysis By Binary Logistic Regression Modelmentioning

confidence: 99%

Identifying Risk Factors Influencing Traffic Accidents for Baghdad Expressways

Joni¹,

Jasim²

2022

ETJ

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Loss of control of the vehicle by the driver for any reason is one of the main causes of accidents on the highways in the capital, Baghdad. • Traffic accidents are more severe (fatal) when heavy vehicles are involved in the accident. • Driving at high and violated speed more than 120 km/hr on local highways results in fatal accidents. In this paper, the SPSS program (version 25) and Binary Logistic Regression Model were used to implement and identify the risk factors that affect traffic accidents on Baghdad highways. Due to the increase in the number of traffic accidents that led to injuries and deaths in Iraq during the past years and the lack of specialized studies in traffic accidents, especially on highways, this required the preparation of a study to know the causes of accidents and to explore the factors that have a relative impact on (the severity of the accident). Four highways in the capital, Baghdad, were chosen in this study, major and vital in terms of the number of drivers who use them daily, which are (Mohamed Al-Qasim Expressway, Army Canal Expressway, Salah Al-Din Street (Expressway), and Baghdad International Airport Street (Expressway)). Three hundred and forty-nine traffic accident forms were collected from the traffic directorates on both sides of Al-Karkh and Al-Rusafa for the years from 2006 to 2019. After the analysis by Binary Logistic Regression, the results showed that (contributing factors, road condition, cause of an accident like (parking on highway, loss of control, lack of attention, sudden stopping and lack of attention), vehicle body type, speed). Resulting from the BLR model.

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Factors associated with crash severities in built-up areas along rural highways of Nevada: A case study of 11 towns

Cited by 17 publications

References 17 publications

Analysis of the Risk Factors Affecting the Severity of Traffic Accidents on Spanish Crosstown Roads: The Driver’s Perspective

Analysis of the Risk Factors Affecting the Severity of Traffic Accidents on Spanish Crosstown Roads: The Driver’s Perspective

Leveraging Social Media Data to Understand Spatial and Severity of Roadway Crashes in Tanzania

Identifying Risk Factors Influencing Traffic Accidents for Baghdad Expressways

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