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Background: The rescue operation is dangerous during floods when the street surface is wet and the rescue vehicles moving fast. Rural roads are known with a high percentage of run-off-the-road crashes and accidents, mostly affected by the unsuitable and inappropriate speed of the car and failure to keep a safe side distance from the highway alignme...
Context in source publication
Context 1
... the friction number decreased, and according to different slopes from 0 to ±7, the sight stopping distance between tow was calculated. The friction number is dependent on vehicle speed and surface pavement moisture in runoff (Figure 4). As friction decreases, the need for a more sight stopping distance is required because in the vertical curve, the curve length is constant, the probability of accidents increases to the same scale. ...
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Traffic congestion is a serious challenge in urban areas. So, to address this challenge, the intelligent traffic management system (ITMS) is used to manage traffic on road networks. Managing traffic helps to focus on environmental impacts as well as emergency situations. However, the ITMS system has many challenges in analyzing scenes of complex tr...
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Citations
... At the same time, the analysis of lateral friction, through the reduction of the coefficient of friction by 5% in vertical curves, increased the probability of a traffic accident by 20% for rescue vehicles. By increasing the speed of these vehicles in curves by 10%, the probability of a crash increases by 25% [19]. Some researchers have analyzed roads in rural areas in order to determine the functional correlation between vehicle speed at different horizontal radii of curves in order to link this to traffic safety. ...
Traffic management is a significantly difficult and demanding task. It is necessary to know the main parameters of road networks in order to adequately meet traffic management requirements. Through this paper, an integrated fuzzy model for ranking road sections based on four inputs and four outputs was developed. The goal was to determine the safety degree of the observed road sections by the methodology developed. The greatest contribution of the paper is reflected in the development of the improved fuzzy step-wise weight assessment ratio analysis (IMF SWARA) method and integration with the fuzzy measurement alternatives and ranking according to the compromise solution (fuzzy MARCOS) method. First, the data envelopment analysis (DEA) model was applied, showing that three road sections have a high traffic risk. After that, IMF SWARA was applied to determine the values of the weight coefficients of the criteria, and the fuzzy MARCOS method was used for the final ranking of the sections. The obtained results were verified through a three-phase sensitivity analysis with an emphasis on forming 40 new scenarios in which input values were simulated. The stability of the model was proven in all phases of sensitivity analysis.
There are many applications of mathematical physics in several fields of basic science and
engineering. Thus, we have tried to provide the Special Issue “Modern Problems of Mathematical
Physics and Their Applications” to cover the new advances of mathematical physics and its
applications. In this Special Issue, we have focused on some important and challenging topics, such as
integral equations, ill-posed problems, ordinary differential equations, partial differential equations,
system of equations, fractional problems, linear and nonlinear problems, fuzzy problems, numerical
methods, analytical methods, semi-analytical methods, convergence analysis, error analysis and
mathematical models. In response to our invitation, we received 31 papers from more than 17
countries (Russia, Uzbekistan, China, USA, Kuwait, Bosnia and Herzegovina, Thailand, Pakistan,
Turkey, Nigeria, Jordan, Romania, India, Iran, Argentina, Israel, Canada, etc.), of which 19 were
published and 12 rejected.
Introduction:
Iran is one of the most disaster-prone countries in the world. A research-based approach is essential to reduce the effects of disasters and provide effective responses. This study aims to review the articles published in the field of emergencies and disasters in Iran.
Methods:
a combination of descriptive and qualitative content analysis using Hsieh and Shannon´s method was done. Since the first and most well-known specialized journal in the field of emergencies and disasters in Iran is the Health in emergencies and Disasters Quarterly (HDQ), all articles published in this journal were examined in terms of theme and scientometric indicators.
Results:
regarding the type of research, 103 were quantitative (66.5%), 18 were qualitative (11.6%), and 4 (2.6%) were performed by mixed method. Most of the articles (n=116, 76.3%) were original research. The most frequently studied risk was traffic accidents (n=17, 10.96%) followed by earthquakes (n=10, 6.45%) and floods (n=8, 5.16%). In terms of theme and content, 103 published articles were related to one of the 4 main phases of the disaster risk management cycle where most of them were related to preparedness (n=48, 46.6%) followed by mitigation (n=26, 25.24%), response (n=20, 19.42%), and recovery (n=9, 8.47%) phases.
Conclusion:
although there are studies related to the four phases of disaster risk management cycle in Iran, most of them are related to assessing preparedness followed by mitigation. In addition, qualitative and mixed studies could have more significant contribution to this field of research, accelerating this process requires the development of disaster research methodology training and researcher training programs as well as their organized and financial support.
