scholarly journals Traffic Accident Risk Assessment Framework for Qassim, Saudi Arabia: Evaluating the Impact of Speed Cameras

2021 ◽  
Vol 11 (15) ◽  
pp. 6682
Author(s):  
Meshal Almoshaogeh ◽  
Radfan Abdulrehman ◽  
Husnain Haider ◽  
Fawaz Alharbi ◽  
Arshad Jamal ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Saudi Arabia ◽  
Road Safety ◽  
Traffic Accident ◽  
High Speed ◽  
Risk Level ◽  
Accident Risk ◽  
Assessment Framework ◽  
Road Accidents ◽  
The Impact

Saudi Arabia is one of the countries with the highest number of road accidents and associated fatalities in the world. Speeding has been identified as an important cause of increased traffic accidents, which also aggravate their severity. Road safety improvement strategies are primarily based on the accurate identification of accident hotspots. Installing speed cameras at a network level is an expensive road safety measure, and its spatiotemporal effectiveness should be assessed. In this study, a traffic accident risk assessment framework has been developed and implemented on the 84 km long Buraydah Ring Road in the Qassim region of Saudi Arabia. The selected highway was divided into 42 (×2 km long) segments using the ArcGIS software. A risk scoring scheme was developed to incorporate both the frequency and severity of road accidents. Speed cameras installation at various segments showed a 70% decline in total accident counts, 53% in accidents with property damage, 84% decline in accidents causing injury, and complete absence of accidents with fatalities. The 48% segments were identified as hotspots with risk level ≥ medium, while the speed cameras installation completely eliminated the hotspots from the study area. The proposed framework can be implemented on major high-speed highways, accommodating high traffic volumes, for hotspot identification and evaluation of various road safety measures in Saudi Arabia and elsewhere.

Applying the risk principle to optimize accuracy and equity in correctional risk assessment: Results From a Simulation

2021 ◽  
pp. 0306624X2098652
Author(s):  
Grant Duwe
Keyword(s):  
Risk Assessment ◽  
Predictive Accuracy ◽  
Ethnic Disparities ◽  
Simulated Data ◽  
Risk Assessments ◽  
Risk Level ◽  
Risk Levels ◽  
Risk Principle ◽  
Changes In Risk ◽  
The Impact

As the use of risk assessments for correctional populations has grown, so has concern that these instruments exacerbate existing racial and ethnic disparities. While much of the attention arising from this concern has focused on how algorithms are designed, relatively little consideration has been given to how risk assessments are used. To this end, the present study tests whether application of the risk principle would help preserve predictive accuracy while, at the same time, mitigate disparities. Using a sample of 9,529 inmates released from Minnesota prisons who had been assessed multiple times during their confinement on a fully-automated risk assessment, this study relies on both actual and simulated data to examine the impact of program assignment decisions on changes in risk level from intake to release. The findings showed that while the risk principle was used in practice to some extent, the simulated results showed that greater adherence to the risk principle would increase reductions in risk levels and minimize the disparities observed at intake. The simulated data further revealed the most favorable outcomes would be achieved by not only applying the risk principle, but also by expanding program capacity for the higher-risk inmates in order to adequately reduce their risk.

Road barriers: modern solutions for improving traffic safety

2021 ◽  
pp. 43-48
Author(s):  
Keyword(s):  
Traffic Safety ◽  
Traffic Accident ◽  
Preventive Measures ◽  
Mechanical Damage ◽  
Road Accidents ◽  
Road Users ◽  
Urgent Task ◽  
The Moment ◽  
Energy Absorbing ◽  
The Impact

Improving the system of preventive measures aimed at reducing the severity of the consequences of road accidents is an urgent task. Road deaths are constantly increasing and there is a need for a comprehensive approach to creating safe road conditions. The purpose of this study is to analyze the promising designs of road barriers designed to prevent uncontrolled exit of vehicles from the roadway of the highway and to develop the design of energy-absorbing fencing. Barrier barriers must not only be safe for road users, but must also ensure their safety, as well as preserve the elements after hitting the fence. Analytical studies have shown that in order to reduce mechanical damage to vehicles and reduce the severity of injuries to the driver and passengers, it is necessary to develop a road fence design that allows you to extinguish the impact energy at the moment of contact between the car and the fence. Keywords: fencing, barrier, safety, traffic accident

scholarly journals Identification of traffic accident risk-prone areas under low-light conditions

2015 ◽  
Vol 15 (9) ◽  
pp. 2059-2068 ◽  
Author(s):  
K. Ivan ◽  
I. Haidu ◽  
J. Benedek ◽  
S. M. Ciobanu
Keyword(s):  
Traffic Accident ◽  
Traffic Accidents ◽  
Pearson Correlation ◽  
Injury Rate ◽  
Spatial Relation ◽  
Accident Risk ◽  
Light Conditions ◽  
Low Light ◽  
The Impact ◽  
The City

Abstract. Besides other non-behavioural factors, low-light conditions significantly influence the frequency of traffic accidents in an urban environment. This paper intends to identify the impact of low-light conditions on traffic accidents in the city of Cluj-Napoca, Romania. The dependence degree between light and the number of traffic accidents was analysed using the Pearson correlation, and the relation between the spatial distribution of traffic accidents and the light conditions was determined by the frequency ratio model. The vulnerable areas within the city were identified based on the calculation of the injury rate for the 0.5 km2 areas uniformly distributed within the study area. The results show a strong linear correlation between the low-light conditions and the number of traffic accidents in terms of three seasonal variations and a high probability of traffic accident occurrence under the above-mentioned conditions at the city entrances/exits, which represent vulnerable areas within the study area. Knowing the linear dependence and the spatial relation between the low light and the number of traffic accidents, as well as the consequences induced by their occurrence, enabled us to identify the areas of high traffic accident risk in Cluj-Napoca.

scholarly journals Safety and reliability of the personal bus carriages in integrated municipal system of traffic and public transport management - analysis of literature

2018 ◽  
Vol 19 (12) ◽  
pp. 246-251
Author(s):  
Paweł Woś ◽  
Jacek Michalski
Keyword(s):  
Public Transport ◽  
Road Safety ◽  
Road Transport ◽  
The European Union ◽  
Road Accidents ◽  
Safety And Reliability ◽  
Key Indicators ◽  
The Impact ◽  
The City ◽  
The Eu

The article analyzes the city's logistics development strategies and its public transport, especially bus traffic. Statistical analysis of all road transport in the European Union (EU) has been carried out. The most important reasons for the tragic road accidents in Poland have been mixed up. Key elements of active safety and passive safety of buses and road safety were analyzed. Characterized key indicators of road safety in the EU and the probability of bus incidents. The impact on the ecology of the city of road transport was analyzed in terms of the significance of exhaust emissions of various bus designs and emissions of other pollutants.

scholarly journals Pollution Characteristics of Microplastics in Soils in Southeastern Suburbs of Baoding City, China

2020 ◽  
Vol 17 (3) ◽  
pp. 845 ◽  
Author(s):  
Chuan Du ◽  
Handong Liang ◽  
Zhanping Li ◽  
Jie Gong
Keyword(s):  
Risk Assessment ◽  
Secondary Ion Mass Spectrometry ◽  
Ferrous Metal ◽  
Reference Method ◽  
Negative Ion ◽  
Risk Level ◽  
Environmental Media ◽  
Wide Range ◽  
Water Ecosystems ◽  
The Impact

Microplastics (MPs) are emerging pollutants that exist in different environmental media. Because of their wide range and large potential environmental hazards, they have attracted widespread attention in recent years. At present, the research on MP is mostly concentrated on the water ecosystems, and the impact on soil ecosystems is less studied. In this study, 12 typical soil samples from southeastern suburbs of Baoding city were investigated and characterized by time-of-flight secondary ion mass spectrometry (TOF-SIMS) combined with mass high resolution mode and positive and negative ion imaging mode. Four types of MPs, poly (propylene) (PP), poly (vinyl chloride) (PVC), poly (ethylene terephthalate) (PET), and poly (amide 6) (PA6), were quickly identified, of which PET and PA6 accounted for the largest proportion of both up to 30.2%; the particle size of the obtained MPs ranged from 0 to 35 μm, of which the proportion of <10 μm MPs was more than 26.3%, while that of 20–25 μm and 25–35 μm MPs was relatively small (17.83% and 9.3%, respectively). Risk assessment results of the MP in the soil showed that the risk level of MPs in the non-ferrous metal industrial parks and in concentrated with small workshops areas is relatively high, and attention should be paid to such areas. In addition, the study provides a reference method for the investigation and risk assessment of MPs in terrestrial soils, coastal beaches, and sediments.

scholarly journals Stochastic Risk Assessment with a Lagrangian Solution for the Optimal Cost Allocation in High-Speed Rail Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Jing Zuo ◽  
Jianwu Dang ◽  
Min Lyu
Keyword(s):  
Risk Assessment ◽  
High Speed ◽  
Large Scale ◽  
Cost Allocation ◽  
Optimal Allocation ◽  
High Speed Rail ◽  
Maintenance Costs ◽  
Optimal Cost ◽  
The Impact ◽  
Stochastic Risk

In large-scale high-speed rail networks (HSRNs), the occurrence of occasional malfunctions or accidents is unavoidable. The key issue considered in this study is the optimal allocation of the maintenance costs, based on the stochastic risk assessment for HSRNs. Inspired by the theoretical risk evaluation methods in the complex network, three major factors, including the local effects, global effects, and component self-effects are considered in the process of assessing the impact on the network components (nodes or lines). By introducing the component failure occurrence probability, which is considered to be an exponential function changing with the component maintenance costs, a feasible stochastic risk assessment model of the HSRNs together with the component impact assessment is proposed that can better unify the impact assessment of both the high-speed rail stations and railways. An optimal allocation algorithm based on a Lagrangian relaxation approach is designed. Correspondingly, the optimal cost allocation scheme can be determined using the algorithm to eliminate the various HSRN risks under the given costs. Furthermore, a real-world case study of the HSRNs in eastern China is illustrated. Compared with the genetic algorithm, the simulation shows that the approach can solve the optimal cost allocation problem to more effectively reduce the risks of large-scale HSRNs in practice.

scholarly journals Studies on the impact of the technical characteristics of local roads on road safety

2019 ◽  
Vol 262 ◽  
pp. 05006
Author(s):  
Stanisław Gaca ◽  
Mariusz Kieć
Keyword(s):  
Road Safety ◽  
Road Traffic ◽  
Road Accidents ◽  
Safety Measures ◽  
Accident Prediction ◽  
The Road ◽  
Access Road ◽  
Local Roads ◽  
On The Road ◽  
The Impact

Local roads (district roads) constitute an important part of the road network in Poland, making up around 29.7 % (124,945 km) of all public roads. In 2017, 10,578 accidents, which is 35.7% of all accidents in Poland, took place on local roads. These roads are used primarily by regular users who are very familiar with the defects of these roads. This means that the effects of the low technical standard of local roads and the insufficient number of road traffic devices on the safety on the road can be partly compensated for by the fact that drivers adjust their behaviour to the conditions on the road. This hypothesis can be verified through developing dependency models of road safety measures of local roads’ and technical characteristics. The article presents the research carried out based on regression models of accident prediction. The models were developed with the use of the data on the road surroundings arrangement (built-up areas, access), road condition and the extent of signposting, including data on speed limits and overtaking as well as risk exposure variables. Due to the incomplete data on accidents and the small number of accidents, different approaches to the modelling of the number of road accidents were applied.

scholarly journals Evaluation of the Impact of Spatial and Environmental Accident Factors on Severity Patterns of Road Segments

2020 ◽  
Author(s):  
Maen Qaseem Ghadi ◽  
Árpád Török
Keyword(s):  
Spatial Clustering ◽  
Decision Rules ◽  
Black Spot ◽  
Risk Level ◽  
Accident Risk ◽  
Severity Level ◽  
The Road ◽  
Wide Range ◽  
The Impact ◽  
Road Segments

Several studies have examined a wide range of accident risk factors affecting road safety. The purpose of this study is to examine the main traffic accident factors that affect the severity of road segments. The practical objective of the article is to assist specialists in identifying risk patterns both from a spatial and casualty point of view. To achieve the desired goals, accidents of a road network have been analyzed through three major steps; segmentation, black spot identification, and decision analysis. A new spatial clustering methodology has been used to divide accidents into smaller groups (or clusters) based on their spatial aggregations. The spatial characteristics are argued to be an important factor, in revealing the heterogeneity between accident data. Then, the empirical Bayesian has been applied to rank the resulted segments by severity level. During this step, the technique of decision rules has been applied to identify the main contributors to accidents in certain segments. The result shows that there is a significant relationship between the accident severity level and the traffic and geometrical characteristics (i.e. speed limits, average daily traffic, path shape) of road segments. The results also revealed that the closer the road to secure and non-hazardous road environmental conditions, the lower the risk level of the road segment.

Case Analysis of Environmental Risk Assessment for Petrochemical Industry

2013 ◽  
Vol 726-731 ◽  
pp. 1101-1104 ◽  
Author(s):  
Li Na Zheng ◽  
Lin Zhang ◽  
Lei Zhang ◽  
Heng Ming Liu
Keyword(s):  
Risk Assessment ◽  
Petrochemical Industry ◽  
Source Term ◽  
Case Analysis ◽  
Risk Identification ◽  
Risk Level ◽  
Accident Risk ◽  
Refining Unit ◽  
Petrochemical Project ◽  
Term Analysis

In this paper, to explore the risk identification, the source term analysis, the consequences calculations, risk assessment, risk management of petrochemical project, a case analysis was conducted, which is a petrochemical company planned 900,000 tons / year of gasoline refining unit construction project. The results showed that the project spill will not spread to the outside environment, the explosion will cause part of the plant severelydamaged, but the accident risk value is lower, the maximum credible accident on the environment could be caused by the less risk. Risk level of the maximum credible accident is acceptable.

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