mohamadamin ebrahimzadeh

In the supply chain, factors such as political issues, demand fluctuations, technological changes, financial instability, and natural disasters lead to increased uncertainty and the emergence of various risks. One of the most important and complex stages of logistical support in organizations, particularly in military and law enforcement organizations, is the forecasting process. Due to its vital role in improving logistical functions, this process highlights the necessity of designing and establishing effective forecasting systems. This research examines the importance of forecasting and estimation in logistical functions and analyzes the requirements that must be followed when designing a forecasting system for the country’s 10-year horizon. The research method is a questionnaire survey evaluated by 120 participants. The case study of this research is the Amirabad Special Economic Zone (Mazandaran), from which all necessary information and data have been collected. This region plays a crucial role in trade and economic development in northern Iran, with various investments in logistics and transportation.

The moving weighing system is one of the most efficient methods to control the weight of vehicles passing through a section. ongoing weighing system is a useful and efficient technology to control overloaded vehicles and prevent road pavement damage. In this research, the optimization model of overload reduction in vehicles by using ongoing weighing system, Analytical Hierarchy process has been used. The aim of the Hierarchical Analysis Process technique is to select the best option based on different criteria through pairwise comparison. This technique is also used to weight the criteria. The parameters are clear and the importance of their weighting is as follows: among the main criteria, the volume of heavy vehicles with a weight of 0.220 ranks first, the traffic volume of AADT with a weight of 0.194 ranks second, the length of the route with a weight of 0.168 ranks third, the average axis speed with a weight of 0.123 ranks fourth, violations With a weight of 0.111, it ranks fifth, the average number of crossing lanes with a weight of 0.110 ranks sixth, and the average number of truck loads with a weight of 0.061 ranks seventh. The final weight of the options is obtained by multiplying the relative weight of the options by the weight of the main criteria. Arak-Salfachegan axis has won the first rank with a weight of 0.438, Arak-Broujerd axis has won the second rank with a weight of 0.313, and Arak-Kanar Gozur North axis has won the third rank with a weight of 0.093.

realized coronavirus epidemic covid has a significant impact on citizens' fashion choices. In this study, using a questionnaire that is distributed among patients in the masih daneshvari hospital in Tehran, using exploratory factor analysis, the risk of infection in different modes has been investigated. All questions are included in each... The first factor is economic conditions, the second factor is being exposed, the third factor is compliance with health protocols and the fourth factor is individual health. Men are more at risk due to more activity outside the home. People who have used public transportation mode are healthier but have been infected with the Corona virus. As a result, the incidence of the virus has increased with age due to a decrease in a personal health. The incidence is higher in the lower income group and the risk is higher for this group because these people are forced to use public transportation.

Factors such as socio-economic factors, population density, land use, availability of vehicles affect the emergence of urban trips. In this article, an attempt was made to plan the transportation network of 22 districts of Tehran metropolis by using the transportation database. For this purpose, using real data and the LUTI model, the relationship between the effective factors in the mentioned model was investigated using SPSS software and correlation coefficients were obtained in statistical tests, and the correlation level of household variables, accessibility and transportation was also calculated. Then, factor analysis of variables was used to investigate their relationship. Based on the analysis of the real data of 2013 and 2015 collected using descriptive statistics of the variables including mean, standard deviation, skewness and kurtosis, the normality of the variables was obtained and its distribution is symmetrical. It is for these users, in fact, they have a lot of dependence on each other to create a trip. According to the transport density index and based on the travel distance, which are important parameters, different land uses have been investigated and the results have been obtained for the regions. In the travel production part, there is a relatively strong correlation of office, residential and educational uses compared to other uses, which shows the value of the coefficient of determination equal to 0.447, which indicates that 44% of the total traffic changes depend on the 5 relevant factors. Also, in attracting travel, 49% of all traffic changes are related to administrative, residential, and educational uses, and in transportation and with administrative, residential, and educational uses, 53% of all traffic changes are related to administrative, residential, and educational uses. In other words, with the transportation and employees of the administrative department and the education department of Tehran, 53% of the trips and as a result the traffic in the 22 districts of Tehran can be reduced.

One of the important needs for developed and developing countries is to create a complete, regular, extensive and efficient transportation system. But as we know, every development, especially development in the transportation industry, has a series of important features and characteristics, in addition to which the negative characteristics of such development must be considered in order for our development to be sustainable. Observance of the principles of environmental evaluation of construction projects before the implementation of the project and in the initial studies and phase one of the project is the aim of the research is to provide a model for assessing the environmental sustainability of airports. To achieve this goal, the indicators were weighted within the framework of the AHP weight model and Excel software was used to analyze the data. The indicators of this research to evaluate the environmental sustainability of airports based on the questionnaire of experts in scoring the criteria are: air pollution weighing 0.43, noise pollution weighing 0.28, land use 0.12, biological factors weighing 0.11, hirological factors weighing 0.07. Also in this analysis, experts in the field visit concluded that Rasht Airport with a weight of 0.206 has the first rank, Mehrabad Airport with a weight of 0.195 has the second rank and Abadan Airport with a weight of 0.484 has gained the third rank.