Fatality risk assessment and modeling of drivers responsibility for causing traffic accidents in Dubai

Abdalla, Ibrahim

doi:10.1016/s0022-4375(02)00052-x

Cited by 18 publications

(13 citation statements)

References 7 publications

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“…This study confirmed that road traffic crashes as a major cause of head and neck injuries and found that majority of the victims were non-Qataris [10]. Abdalla (2002) investigated the fatality risk assessment and modeled drivers responsibility for causing traffic crashes in Dubai concluding that the possible characteristics and attributes of drivers involved in crashes, variations between different classes of road users and groups of the resident population and the lack of safety and risk awareness among road users were causing the traffic crashes in Dubai [11]. Noland and Quddus (2004) used NB models at ward (a census tract) level to analyze the association between area-wide factors of road casualties with traffic fatalities, serious injuries, and slight injuries.…”

Section: Review Of Factors Affecting Road Traffic Severity and Frequencysupporting

confidence: 81%

Analysing the Severity and Frequency of Traffic Crashes in Riyadh City Using Statistical Models

Altwaijri

Quddus

Bristow

2012

International Journal of Transportation Science and Technology

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Traffic crashes in Riyadh city cause losses in the form of deaths, injuries and property damages, in addition to the pain and social tragedy affecting families of the victims. In 2005, there were a total of 47,341 injury traffic crashes occurred in Riyadh city (19% of the total KSA crashes) and 9% of those crashes were severe. Road safety in Riyadh city may have been adversely affected by: high car ownership, migration of people to Riyadh city, high daily trips reached about 6 million, high rate of income, low-cost of petrol, drivers from different nationalities, young drivers and tremendous growth in population which creates a high level of mobility and transport activities in the city. The primary objective of this paper is therefore to explore factors affecting the severity and frequency of road crashes in Riyadh city using appropriate statistical models aiming to establish effective safety policies ready to be implemented to reduce the severity and frequency of road crashes in Riyadh city. Crash data for Riyadh city were collected from the Higher Commission for the Development of Riyadh (HCDR) for a period of five years from 1425H to 1429H (roughly corresponding to [2004][2005][2006][2007][2008]. Crash data were classified into three categories: fatal, serious-injury and slight-injury. Two nominal response models have been developed: a standard multinomial logit model (MNL) and a mixed logit model to injury-related crash data. Due to a severe underreporting problem on the slight injury crashes binary and mixed binary logistic regression models were also estimated for two categories of severity: fatal and serious crashes. For frequency, two count models such as Negative Binomial (NB) models were employed and the unit of analysis was 168 HAIs (wards) in Riyadh city. Ward-level crash data are disaggregated by severity of the crash (such as fatal and serious injury crashes). The results from both multinomial and binary response models are found to be fairly consistent but the results from the random parameters model seem more reasonable. Age and nationality of the driver, excessive speed, wet road surface and dark lighting conditions and single vehicle crashes are associated with increased probability of fatal crashes. More specifically, the probability of having a fatal crash increases with the age of the driver and Saudi drivers (relative to non-Saudi drivers) are associated with the probability of fatal crashes (relative to serious injury crashes). A crash involving a single vehicle is found to be more severe than a crash involving a multiple vehicles. The results from the frequency models suggest that percentage of non-Saudi found positively associated with serious injury crashes; percentage of illiterate people and the income per capita found to be positively significant with the frequency of fatal and serious injury crashes; and the increased residential, transport, and educational areas of land use is associated with the decreased level of fatal and serious injury crashes occurrences. Based on the...

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Section: Review Of Factors Affecting Road Traffic Severity and Frequencysupporting

confidence: 81%

Analysing the Severity and Frequency of Traffic Crashes in Riyadh City Using Statistical Models

Altwaijri

Quddus

Bristow

2012

International Journal of Transportation Science and Technology

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“…Based on the standard Poisson and other subsequent models, it was found that the age and the gender variables confirm the expected direction of the relationship reported by Abdalla [1] that males and young age drivers are more responsible for causing RTAs compared to females and old age drivers. However, the model coefficients were not statistically significant; therefore, the two variables were removed from the model.…”

Section: Factors Determining Uae Motor Insurance Claimssupporting

confidence: 68%

“…The increase in the number of vehicles on the road, along with emergence of high risk road users have converged in not only a dramatic number of road accidents, but a dramatic number of fatal accidents and fatal injuries [1,2]. Compared to developed countries and several neighboring countries in the region, the number of road accidents in the UAE is high, in particular, accidents that are caused by wrong driver's behavior [3].…”

Section: Introductionmentioning

confidence: 99%

“…With a view to reducing the number of road injuries, deaths and accidents costs, national governments have taken a variety of remedial actions, including increasing the number of traffic monitoring radars, police traffic control, upgrading of infrastructure, implementation of prevention and awareness-raising campaigns, and better information for the citizen on material and social consequences of road traffic accidents [1,2].…”

Section: Introductionmentioning

confidence: 99%

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Effect of Motor Insurance Premiums on Driver Behavior and Road Safety

Alfaki¹

2013

J Ergonomics

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“…The authors found that 38% of the accidents occurred because of careless driving, 13% caused by excessive speed, and 32% because of other human factors. Abdalla (2002), identified causes of increasing traffic fatalities and injuries in the Emirate of Dubai, UAE. The findings of this study indicated that the risk of traffic fatality was higher in Dubai, compared to some other developed countries, also it is found that the probability of a driver causing an accident is considerably higher for those driving goods vehicles, however it is also associated with other factors.…”

Section: Literature Reviewmentioning

confidence: 99%

Road users’ opinion about pedestrian safety in the emirate of Sharjah, UAE- survey results

2017

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Abstract. This paper is to investigate the pedestrian safety in Sharjah (UAE), and suggest recommendations to improve safety in the emirate. A survey data was collected from 570 participants in December, 2016, and included the following informations: measure the awareness of drivers and pedestrians, determine the behavior of road users, take general views from the road users, and measure the level of users` satisfaction. The results showed that characteristics of road users including (gender, age group, nationality, social status, education level and the income) can affect their behavior at different levels and that may lead to pedestrian accidents. Also, most participants noticed that there are differences in the behavior of drivers and pedestrians based on their nationalities, and they indicated that pedestrian mistakes are main cause of this type of accidents. Moreover, the data showed that most drivers confirmed that they give more attention to pedestrians in mixed land used than other areas and they mentioned that "traffic signal + marked lines" is the clearest place for them to be attentive to pedestrians crossing the road. Overall, based on the results of this paper, there is an urgent need to re-evaluate the pedestrian facilities in the Emirate such as ( Design, locations, and their availability) as well as focusing more on the education and the law enforcement.

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Fatality risk assessment and modeling of drivers responsibility for causing traffic accidents in Dubai

Cited by 18 publications

References 7 publications

Analysing the Severity and Frequency of Traffic Crashes in Riyadh City Using Statistical Models

Analysing the Severity and Frequency of Traffic Crashes in Riyadh City Using Statistical Models

Effect of Motor Insurance Premiums on Driver Behavior and Road Safety

Road users’ opinion about pedestrian safety in the emirate of Sharjah, UAE- survey results

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