hossein aghamohammadi; reyhaneh saeedi; Ali Asghar Alesheikh; Alireza Vafaeinejad
Abstract
Intelligent emergency response during crises refers to the effort to improve the performance of emergency response units. This type of assistance is created using modern technologies, especially the Internet of Things, to enhance service quality, reduce costs, and increase supervision over the emergency ...
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Intelligent emergency response during crises refers to the effort to improve the performance of emergency response units. This type of assistance is created using modern technologies, especially the Internet of Things, to enhance service quality, reduce costs, and increase supervision over the emergency response process. In a new approach to intelligent emergency response, IoT-based routing models are used. These models optimize the emergency response route through the communication between objects and the collection of spatial data, improving the user experience. In this study, a spatial data infrastructure is designed to integrate the system and improve emergency response. The designed portal displays the optimal route from the incident location to the medical center on a map using the desired service and transfers sensor information (such as heart rate, blood oxygen level, blood pressure, thermometer, glucose meter, electroencephalography, and pulmonary function) to the doctor's mobile phone in the ambulance via Bluetooth and shares this information on the portal. Medical centers also determine their priority using an online hierarchical weighting model. In this system, real-time health information of the injured is received through the submission and confirmation from medical centers, and based on this information, the appropriate location for treatment and transfer of the injured person is determined. In a test conducted for this model, an injured person in Tehran Zone 5 on 4/24/1400 at 12:00 noon was accepted. The emergency team arrived at the scene in less than 8 minutes and, after providing initial assistance, sent the real-time health status of the patient to the surrounding medical centers, receiving a confirmation from Omid hospital in the same area, and transferred the injured person to the hospital in 5 minutes via the optimal route. In contrast, in the traditional system, due to the lack of simultaneous use of IoT and spatial data infrastructure, suitable routing algorithms and weighting models, the emergency response process becomes time-consuming, and medical centers are not informed of real-time health information of the injured. Consequently, this research improves the performance of the emergency response system and addresses some of the issues in the traditional system, such as delays in dispatching emergency personnel and patient non-acceptance. Overall, the use of intelligent emergency response methods reduces human, financial, and time costs, provides quicker and better responses to different crises, and allows emergency organizations to make more intelligent decisions regarding resource distribution and human resource allocation using the data collected by geographic information systems and the Internet of Things.
Bahram Moradi Solooshi; Alireza Vafaeinejad; Hossein Aghamohammadi Zanjirabad; ali asghar ale sheikh
Abstract
The rail transport system consists of the interaction of a set of equipment and operations that determine the capability and capacity of a rail system in freight and passenger transport. For this purpose, it is important to calculate the capacity and predict how it will change, and knowing it will be ...
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The rail transport system consists of the interaction of a set of equipment and operations that determine the capability and capacity of a rail system in freight and passenger transport. For this purpose, it is important to calculate the capacity and predict how it will change, and knowing it will be of great help in improving the level of operation of the railway network. There are several methods for calculating capacity that can be used depending on the type of network and how it is used. To calculate the capacity, the capabilities of spatial information systems are used and with the help of a web-based spatial information system, the operational capacity of the rail network is determined in a new way and with more efficiency than conventional methods. For this purpose, a GIS-based environment that is connected to various databases of the Railway Company of the Islamic Republic of Iran, including the travel database, is used and while observing the current capacity of the network, through multivariate linear regression, the capacity of the rail network in It determines the future. The present study, through linear regression, predicts railway capacity in a case study in Iran for the three selected routes and identifies important blocks for investigating the effect of spatial parameters in determining the capacity of the railway network. Slowly Based on the available data of 1996 (extracted from the Railway Spatial Web Service), capacity forecasting was performed in 1997 in the GIS environment. The results showed that the capacity utilization of the selected routes for freight trains was 82%, passenger routes 56%, 62% return and 79% combined routes. Also, the accuracy of model prediction for freight trains is 35% better than passenger trains, which is due to the difference in speed change and maximum speed allowed for these two types of trains, and modeling accuracy is directly related to the type of part. Route (passenger, freight and combined), so in the passenger route, the modeling capacity of passenger trains was approximately 45% more accurate. Similarly, on the freight route, the estimation of the capacity of freight trains was associated with approximately 45% higher accuracy than that of passenger trains.
َAliakbar Matkan; Aliraze Vafaeinezhad; Iman Baharloo; Ahmad Khademolhoseini
Abstract
One of the most important modes of public transport is the metro transport network, which has a significant impact on reducing traffic and air pollution. On the other hand, due to the exorbitant costs of setting up the metro network, step-by-step development with the operation of one line and the implementation ...
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One of the most important modes of public transport is the metro transport network, which has a significant impact on reducing traffic and air pollution. On the other hand, due to the exorbitant costs of setting up the metro network, step-by-step development with the operation of one line and the implementation of other lines is of interest by urban managers. Therefore, the aim of this study is to investigate the extent of access to Isfahan metro network in the horizon of 1410 with the spatial equity approach from both horizontal and vertical aspects in 5 social classes using Gini coefficient indicators, Lorenz curve, service (supply) level index of public transportation and access. What distinguishes this research from the other similar studies is the investigation of access to the network of each metro line and finally all the lines and the estimation of population growth up to the horizon of 1410, which plays a significant role in the decisions of urban planners to develop other modes of urban transportation. The results of this study showed that Gini coefficients in access to the metro network in Isfahan in the study of horizontal equity are higher than the vertical equity, which shows a great injustice in the distribution of access of sensitive and needy groups to the metro network. So that the Gini coefficient in citizen's access to all lines in horizontal equity is 0.42 and in vertical equity in 5 classes including people over 60 years, under 15 years, without private cars, immigrants and households with an area of less than 50 square meters are 0.45, 0.49, 0.5, 0.54 and 0.6, respectively
Monireh Mosabeaigi; Imam Baharloo; Alireza Vafaeinezhad
Abstract
Identify factors contributing to the spread of soil erosion, and zoning is an important tool to manage and control this phenomenon and to determine appropriate ways are to deal with spreading this phenomenon. In this research, using analysis network process model and GIS has been estimated zoning map ...
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Identify factors contributing to the spread of soil erosion, and zoning is an important tool to manage and control this phenomenon and to determine appropriate ways are to deal with spreading this phenomenon. In this research, using analysis network process model and GIS has been estimated zoning map of soil erosion in the catchment tea castle in West, East Azerbaijan Province. For this purpose, by examine the sources and expert opinion, effective factors such as slope, aspect, lithology, land use, normalized difference vegetation index (NDVI), annual precipitation and soil is provided of the geographic information system environment. Then, using Arc GIS software and extracted coefficient, the analysis network process prepared to zone map soil erosion and in five classes: very high, high, medium, low and very low. The results showed that 37.12 percent of the area that includes 118.56 square kilometers, is located in risk classes the high and very high. Furthermore, necessary to explain that in the southern and central parts of the basin is the amount of soil erosion high. These areas showed critical situations and acute erosion. And due to dam construction, Ghale Chai should be placed the priority programs and plans of soil conservation and watershed management.
