The Pattern of Road Accidents in Fog and the Related Factors in North of Iran in 2014-2018 ​

Khodadadi-Hassankiadeh, Naema; Rad, Enayatollah Homaei; Koohestani, Hannaneh Shafei; Kouchakinejad–Eramsadati, Leila

doi:10.21203/rs.3.rs-73501/v1

Cited by 2 publications

(2 citation statements)

References 20 publications

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“…8 Foggy conditions top the list of inclement weather that directly affects safe logistics. 9,10 It is hazardous to drive in visibility less than 150 meters as per the research of transport laboratories. 11 Unlike other weather states the intermittent and impromptu onset of fog, perturbs the unaware drivers thereby potentiating the vulnerability of high velocity road traffic trauma.…”

Section: Discussionmentioning

confidence: 99%

North Indian winter fog, barbed wire, drunken driving and neck trauma

Munjal

Munjal²,

Trehan³

et al. 2023

Int J Otorhinolaryngol Head Neck Surg

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Inebriated motor cyclists in dense fog of North Punjab often lose control and run into the barbed village fencing. The wire drapes the front of the neck and penetrates the tissues to varying depth, depending on the intensity of trauma. This is commonly noted between the cricoids and the mandible. Timely surgical intervention, intoxication and speed checks can reduce the incidence of poor visibility related mishaps. An individual sustained and survived penetrating barbed wire injury by wrapping his head gear around his neck and drove to a rural health care facility for a primary repair of his neck.

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Section: Discussionmentioning

confidence: 99%

North Indian winter fog, barbed wire, drunken driving and neck trauma

Munjal

Munjal²,

Trehan³

et al. 2023

Int J Otorhinolaryngol Head Neck Surg

View full text Add to dashboard Cite

show abstract

“…In this regard, this study suggests adding traffic offenses statistics to the Iranian Integrated Road Traffic Injury Registry (43,44) and RTA studies. The other risk factors are the spatial variations of traffic offenses and accidents, seatbelt and helmet status, gender, age group (45), and climatic conditions, such as fog in the north of Iran (46).…”

Section: Discussionmentioning

confidence: 99%

Investigation of the Hourly and Spatial Patterns of Traffic Offenses During March-April 2019 in Iran Using Bivariate Generalized Additive Models and Integrated Nested Laplace Approximation

Fayaz

Abadi

Razzaghi

et al. 2022

Int J High Risk Behav Addict

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Background: The control, management, and prevention of driving accidents and risky driving are regarded as concerns for numerous countries, according to the World Health Organization. In this regard, many technologies, such as count stations, are recommended. They count traffic offenses, such as speeding and unsafe distance, hourly and daily, and have different patterns according to the hour of the day and the location. Objectives: This study aimed to investigate the risky driving behaviors according to traffic offenses in Iran and estimate their hourly and spatial patterns using generalized additive models (GAMs) and stochastic partial differential equation methods. Methods: There were 2,316 count data stations for one month within March-April 2019. This study estimated the hourly average of each traffic offense, Pearson’s and Spearman’s correlations, and the energy statistics for testing the bivariate normal distribution. There are five distributions, such as univariate Poisson, quasi-likelihood Poisson, Gaussian, location-scale Gaussian, and bivariate Gaussian in GAMs, to study the hourly patterns which were compared to the mean squared error (MSE) and correlation. Results: The hourly average of total vehicles and number of speeding and unsafe distance offenses per count station had positive skew distributions with mean values equal to 347 ± 456, 22.5 ± 44.2, and 65.9 ± 150, respectively. The correlation between traffic offenses in most provinces was significant, not large, and different. The GAM with the bivariate Gaussian distribution had the best performance according to the MSE and correlation. It revealed three hourly patterns for count predictions; the first was that speeding is higher than unsafe distances; the second was that unsafe distances are higher than speeding; the third was that speeding and unsafe distances do not have a specific pattern in some hours. The percentage of speeding was higher in the central, northeast, and southeast regions than in other parts of Iran, and the percentage of unsafe distances was higher for the north, northwest, west, and some parts of the southwest than in other parts of Iran, respectively. Conclusions: The hourly pattern of traffic offenses exists and has a complex structure. The spatial pattern of traffic offenses shows the riskiest points in Iran.

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The Pattern of Road Accidents in Fog and the Related Factors in North of Iran in 2014-2018

Cited by 2 publications

References 20 publications

North Indian winter fog, barbed wire, drunken driving and neck trauma

North Indian winter fog, barbed wire, drunken driving and neck trauma

Investigation of the Hourly and Spatial Patterns of Traffic Offenses During March-April 2019 in Iran Using Bivariate Generalized Additive Models and Integrated Nested Laplace Approximation

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The Pattern of Road Accidents in Fog and the Related Factors in North of Iran in 2014-2018 ​

Cited by 2 publications

References 20 publications

North Indian winter fog, barbed wire, drunken driving and neck trauma

North Indian winter fog, barbed wire, drunken driving and neck trauma

Investigation of the Hourly and Spatial Patterns of Traffic Offenses During March-April 2019 in Iran Using Bivariate Generalized Additive Models and Integrated Nested Laplace Approximation

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The Pattern of Road Accidents in Fog and the Related Factors in North of Iran in 2014-2018