جستجوی مقالات مرتبط با کلیدواژه "topsis" در نشریات گروه "عمران"

With the progress and development of road transportation, today's world is witnessing an increase in accidents and the imposition of financial, human and spiritual costs on the society. Based on this, managers and planners have identified and corrected high-accident points. But the implementation of corrective solutions in these areas is faced with the limitation of financial resources and so on. The purpose of this research is to identify high-accident points in the city of Sanandaj and to prioritize the corrective solutions of said points. The research method is applied in terms of purpose and descriptive in nature. The statistical population of the research was considered to be all accidents between the years 1998 to 1400 in Sanandaj city. Also, the statistical population of the second part (prioritization of solutions) was traffic safety experts and Municipality of Sanandaj, and sampling was done in a targeted manner. The method of data analysis was the developed model of BWM multi-criteria decision-making goal programming in multi-expert mode and its combination with TOPSIS. The results of the implementation of the model in Sanandaj city indicated that 5 points, Nayser, Mostazafein, Behesht Mohammadi, Abidar and Pasdaran streets are high in accidents, and the first priority is the correction solutions for Nayser and Mostazafein streets, installation of speed bumps, for Behesht Mohammadi street, installation of cameras to record violations and installation of warning signs for Abider and Pasdaran streets.

The increase in the urban population and the change in the consumption pattern in recent decades has caused the per capita volume of produced waste to increase significantly. The introduction of a large number of urban waste materials along with thousands of tons of dangerous toxic substances and hospital and industrial waste materials into the environment creates many problems that have harmful effects on other existing systems. urban and including their environmental system is remarkable. Finding a suitable place for waste disposal is one of the most important study steps in parallel with landfill design, whose management plays a significant role in environmental positioning because of the lack of attention to environmental and management studies in the planning process. Urban planning, especially in terms of landfill location, leads to problems such as flooding, leachate infiltration into underground water, soil and surface water pollution, placement on unstable land, and topological problems. In the Bandar Abbas, about 500 tons of waste is produced daily, which is collected in an unsanitary manner, collected, transported and buried in front of the railway station, which causes the spread of pollution in the region. For this reason, in the present study, an attempt has been made to locate the best landfill site to achieve this approach, 4 environmental criteria (6 sub-criteria), ecological (5 sub-criteria), structural (11 sub-criteria) and Physical (7 sub-criteria) was used. These criteria were weighted by ANP. After preparing the Euclidean distance map and combining it with fuzzy operators for each sub-criterion, the resulting map was multiplied by the ANP fuzzy weight. Then, fuzzy operators AND, OR, SUM, Product and gamma of 0.9, 0.7 and 0.5 were used to overlap the layers. OLS regression was used to select the best superimposed map. Finally, the TOPSIS was used to rank the selected sites and the best site. The results showed that the ecological criterion with a fuzzy weight of 0.443 has the greatest effect on the location of landfills. After that, structural, environmental and physical criteria were placed in the next ranks with 0.278, 0.182 and 0.095, respectively. In ecological sub-criteria, the distance from the sensitive habitat of Mount Gnu with 0.438; In structural sub-criteria, the distance from settlements with 0.155; In the environmental sub-criteria, the distance from the canal with 0.283 and in the physical sub-criteria, the distance from the river with 0.310 have the greatest effect on the location of landfill. Among the fuzzy overlay operators, the SUM fuzzy subscription operator has the highest correlation with the research criteria in identifying the landfill. Five landfill sites were identified in Bandar Abbas, and with the TOPSIS ranking model, District 4, located west of Bandar Abbas and Tel Siah village and east of Bandar Abbas, a 15 km2 of land was selected for landfilling of urban and industrial waste.

Worldwide every year, many people lose their lives and their homes due to natural disasters. Providing appropriate places for the establishment of relief centers and resettling displaced people after an earthquake is one of the most important things in planning and crisis management. In this article, the city of Kerman has been selected and studied due to its high earthquake potential, in order to locate temporary settlements for the population affected by a possible earthquake. To do so, initially, three potential sites for temporary accommodation and effective criteria to rank them were identified. Afterward, the weights of the criterion were determined using the Analytical Hierarchy Process (AHP), and finally, sites were prioritized using TOPSIS and VIKOR methods. Based on the results access to main routes, access to rescue centers, the possibility of installing infrastructure facilities, and the size of the selected site gained respectively the most to least weights. Further, among suggested locations, Madar Park was ranked first.

Worldwide every year, many people lose their lives and their homes due to natural disasters. Providing appropriate places for establishment of relief centers and resettling displaced people after an earthquake is one of the most important things in planning and crisis management. In this article, the city of Kerman has been selected and studied due to its high earthquake potential, in order to locate temporary settlements for the population affected by a possible earthquake. To do so, initially, three potential sites for temporary accommodation and effective criteria to rank them were identified. Afterward, the weights of the criterion were determined using the Analytical Hierarchy Process (AHP), and finally, sites were prioritized using TOPSIS and VIKOR methods. Based on the results access to main routes, access to rescue centers, the possibility of installing infrastructure facilities, and the size of the selected site gained respectively the most to least weights. Further, among suggested locations, Madar Park was ranked first.

Reactive powder concrete (RPC) is a type of concrete with extremely high strength. Concrete mix design is the process of determining the proportions and quantities of concrete components, so that the produced concrete is as affordable as possible and meets the required requirements. The purpose of this research is to evaluate and rank the design of RPC concrete mixing, which can have the desired quality, including compressive strength and durability. For this purpose, 13 RPC concrete mixing plans were evaluated with the numerical taxonomy technique and all values of the shortest distances (dr,min) of 13 mixing plans were between 3.709 and 0.761, which means that all mixing plans are homogeneous. options), so there is no need to remove any of the options. In the next step, with SAW and TOPSIS methods, the ranking of RPC concrete mixing plans was done and the ranks 1 to 3 were extracted. To ensure the accuracy of ranking results, Spearman's rank correlation coefficient (Rs) was calculated and a value of 0.997 was obtained, which is very close to one and indicates a strong correlation between SAW and TOPSIS variables. Also, the coefficient of determination (recognition coefficient) (Rs2), which allows us to determine how confident we can be in predicting the SAW and TOPSIS method, was obtained equal to 99.4%, in other words, the coefficient of determination is 99.4%. It shows that 99.4% can be sure of the ranking of the concrete mixing plan with SAW and TOPSIS method and the final ranking was presented by normalizing the differences of relative closeness index of SAW and TOPSIS method.

The increasing development of the aviation industry in the last decade as one of the most important axes of development and growth of cities has a special place in economic, social and cultural development programs. Considering the special tourism and economic status of Zanjan province in terms of national and religious aspects and the location of Soltanieh Dome as one of the most important tourist attractions registered by UNESCO in the province, the geotourist attractions of Katlekhor Cave and the colorful mountains of Mahneshan, Hosseinieh religious ceremony Zanjan and the existence of important mining and electrical industries such as Iran Transfo and Pars Switch, copper handicrafts and knives and the agricultural potential of the province, the optimal performance of Zanjan airport can play an effective role in the economic prosperity of the province. The operation of the airport provides local businesses with access to national and global markets and helps to retain and attract business, and thus can provide jobs and economic prosperity for the region. In general, the economic performance of airports is largely directly related to the political, economic, social and cultural importance of the city's urban hierarchy. The aim of this study was to evaluate the economic performance of Zanjan Airport using the TOPSIS method (MADM) which is a multi-criteria decision-making method. According to this study, the results show that in order to improve Zanjan Airport, the community is more in favor of turning the airport into a private airport and the least effect is considered as the parameter of the impact of air agencies.

Every year, a significant portion of the country's credits and financial resources are allocated to investment in civil and infrastructural projects. Risk management can prevent cost escalation and assist in completing projects within the designated time and budget. This study aims to identify factors contributing to the lack of implementation of risk management in small-scale civil projects in the city of Abadan. The research utilizes a descriptive method for data collection and employs exploratory factor analysis and TOPSIS analytical methods to identify and prioritize the factors. The results indicate that the influential factors in the lack of implementing risk management include four main elements (technical risk barriers, project management and leadership obstacles, construction risk barriers, financial risk barriers), among which the option of insufficient knowledge of the contractor has priority over other options.

Part of the success in the implementation of policies depends on the policy implementation capacity, because the capacity is the result of the ability to shape the future. This research has identified the effective factors in improving the capacity of policy implementation and the cause and effect relationship between them. The research communities in this applied research consist of 12 policy experts and experts of the highway organization, who were selected through non-random and purposeful sampling. Data collection tools, interviews and questionnaires, and FMEA and Fuzzy Dimetal techniques were used for data analysis. The reconstruction of the structure of the organization and management in formulating and implementing the policies of the road organization has the most and the index of improving the education and participation system in connection with the road organization has the least effect on other indicators of improving the capacity of implementing these policies. The effort to improve the capacity to implement the policies of the road organization should be accompanied by planning and constructive and sustainable changes in the structure of the organization and management and with efficiency and effectiveness in the reconstruction of the structure of the organization and management in formulating and implementing the policies of the country's road organization. It will strengthen other indicators. The principled and realistic formulation of the organization's policies can provide a basis for improving the capacity of implementing the policies of the highway organization.

Formulation and implementation of the policy of the Road Organization is one of the necessities of the organization to reduce accidents caused by accidents and traffic problems. Policy means paths, policies and decisions The implementation of policy refers to the activities that it performs directly.

Several factors lead to the failure to implement the policies of the road organization that the present study identifies and ranks these factors.Research

This research is applied and in terms of strategy, survey. The research community consisted of 12 managers of the Highways and Road Transport Organization of the country who were selected through non-random and purposeful sampling. Data collection tools are interviews and questionnaires and FMEA technique and fuzzy AHP and fuzzy TOPSIS approach have been used to analyze the data.

Based on the findings, the effective factors in the failure of the implementation of the policies of the Roads and Transportation Organization of the country are: Lack of skills and expertise of managers and employees in the implementation of policies and incorrect attitude of executives towards policies.

According to the research findings, it is necessary for the organization to pay more attention to specialization and meritocracy in selecting managers and policy makers and training and empowering executives for effective and optimal implementation of policies in the organization.

The construction and civil operations function is at the forefront of adventurous activities in most countries of the world due to its expansion. The existence of various hazards and harmful factors in construction workshops has made this industry one of the most risky industries in the world. This issue has been considered in our country as well as other developing countries. Protecting human lives is first and foremost the most important issue in any work environment. This is an urgent need for great attention and implementation of the necessary requirements in order to save human lives. Manpower is the capital of any organization that in case of endangering their lives, performance and ultimately achieving the goals of the organization or community is challenged. Due to the importance of HSE in various industries, especially the manufacturing industry, this study was intended to examine the factors affecting safety, health and the environment. This was done from a qualitative and quantitative approach. In the qualitative approach, unstructured interviews were used to collect data and in the quantitative method, a questionnaire was used. The data received from the questionnaires were analyzed with Excel software and TOPSIS method to determine the weight and priority of the identified factors. According to TOPSIS surveys, the status of safety and firefighting equipment weighing 0.095, HSE checklist weighing 0.081, manpower status weighing 0.076, having direct contact with staff and discussing HSE issues weighing 0.073 and records and indicators Contractor HSE performance with a weight of 0.065 are five important and influential factors in safety, health and environment.

Climate change is one of the most important problems of the planet. Buildings, relying on non-renewable energy sources, account for 40% of the total energy consumed worldwide and 30% of the total carbon dioxide emissions. The construction sector in Iran accounts for 33.8% of energy consumption, among which the energy consumption in Iran's educational buildings is 2.5 times that of developed countries. Renovation of existing buildings helps to reduce energy consumption and carbon dioxide emissions globally. In this research, the optimal reconstruction of an educational building located in Tehran was investigated using passive measures. In order to minimize the load of cooling, heating and the initial investment of the building for the current and future climate, the genetic algorithm with non-globe sorting was used in the jEPlus environment. In the optimization of the mentioned building, various options such as parameters related to the building cover, such as the type of insulation and its thickness and the type of glass used in the windows were considered and finally solar panels in order to reach the building with zero net energy. used. The passive option selected considering the current climate causes an 11.83% reduction in annual gas consumption due to heating and considering the climate of the decade 2080 causes a reduction of more than 1.15% in annual energy consumption due to cooling and a 40.4% reduction in consumption Annual gas emissions from heating and a 4.84% increase in cooling energy compared to the base model. The results show that the current optimal building cannot remain optimally in the future.

In recent decades, the percentage of residential areas has increased due to the expansion of urbanization. This has led to an increase in the percentage of impermeable areas, thus increasing surface runoff in cities. Therefore, it is necessary to control surface runoff values using strategies such as low-impact development (LID) methods in cities. In this study, 6 LID methods have been used, namely permeable pavement, rain barrel, infiltration trench, bio-retention system, impermeable pavement-infiltration trench, and rain barrel-bio-retention system. These methods have been evaluated by 4 criteria which are: reduction of runoff volume, reduction of peak discharge of runoff, economic and social criteria. The SWMM model has been used to determine the values of hydrological criteria. To determine the values of the economic criteria (cost), the price analysis list, and the social criteria, a questionnaire has been used by experts in the field. To prioritize LID methods, the Fuzzy TOPSIS and TOPSIS multi-character decision-making criteria have been used, in terms of the weighted entropy of the fuzzy Shannon for the Fuzzy TOPSIS method and terms of the weighted entropy, equal, emphasis on hydrological criteria and emphasis on economic criteria, for TOPSIS method. The results showed that in the TOPSIS method in terms of the weighted equal, emphasis on economic criterion and emphasis on hydrological criterion, bio-retention system & rain barrel and, in terms of the weighted entropy, rain barrel, selected as the best scenario. In the Fuzzy TOPSIS method, the rain barrel scenario was selected as the most efficient scenario and ranked first in the study area.

Reactive powder concrete is a special type of concrete whose strength and durability have been improved by removing coarse-grained materials and the use of additives, and due to the variety of materials and methods of construction, the ratio of components or in other words Different mixing schemes have been proposed for the production of this type of concrete, and it will be difficult to decide on the best choice of reactive powder concrete mixing scheme. In this research, it is tried to use multi-criteria decision making techniques in order to rank and select the most appropriate mixed concrete powder mixing designs.Effective indicators in the concrete mixing plan include: cement, water, silica powder, silica sand, microsilica powder, superplasticizer, compressive strength, water absorption percentage and unit weight of volume, which are determined and evaluated using research background.First, the weight of the indices was determined by Shannon's entropy method, and the decision matrix was formed, then the reaction powder concrete mixing schemes were ranked separately with the three techniques of SAW, TOPSIS and VIKOR. Research shows that using different decision-making techniques can lead to different rankings for options. Therefore, in order to obtain the final ranking, the Copeland method has been proposed as the best method, and the use of multi-criteria decision-making techniques for ranking the mixed concrete mixing projects is a suitable and acceptable method.The final ranking of Copeland was compared with the techniques of SAW, TOPSIS, and VIKOR, and it was found that the results of ranking of SAW, TOPSIS, and VIKOR methods were 100, 85, and 70 percent consistent with the Kopland method, respectively. Also, the SAW method was considered the most suitable method for ranking reactive concrete mixing schemes due to its 100% compliance with the Copeland method.

Consumption of non-renewable resources such as oil, gas and coal is increasing every day. But when these resources run out, we have to look for renewable energy such as solar, wind and geothermal. Solar energy is a clean energy that can reduce the production of environmental pollution and is the beginning of reducing carbon from human life. One of the most important issues in the construction of solar power plants is to determine the places that have a high potential for solar energy. This research has been done in order to locate solar power plants using multi-mechanical decision-making methods of participation in Fars province. In the initial studies on the region and the current state of solar power plants, and then using the resources and opinions of experts, 10 effective criteria, including climatic, geomorphological and economic criteria in the location of solar power plants have been selected. Criteria information layers are prepared in GIS environment and then the best-worst and Denp methods are used to weigh the selected criteria. In the first method, two criteria of sunshine hours and distance from roads and in the second method, the criteria of sunshine hours and distance from the fault have been performed as the most important and the least best criteria, respectively. Due to the different methods of these two techniques, the results of its losses have been used for the final weight of the criteria. After weighing the criteria, zoning has been done and 8 places have been proposed for the construction of a solar power plant in Fars province. In the last step, using Coopras and TOPSIS methods, the places whose proposals are ranked and for the final results, the integration of these two methods with the ranking technique is used. The methods used in this research are programmed in Linux and MATLAB software environments. Finally, the No. 8 reality site in Zarrin Dasht city of Fars province has been selected as the best location for the construction of a solar power plant.

The purpose of this study was to evaluate the environmental risks of Alborz Dam on Bababrood River in Babol city, using multi-criteria decision making methods. Initially, environmental identification of the study area was carried out, Then a list of environmental risks identified in the construction and exploitation phase was prepared and presented to environmental experts familiar with the Alborz dam area in the form of a questionnaire. environmental risks scored by environmental experts based on three indicators, Severity of occurrence, Probability of occurrence, Then environmental risks ranking was performed using TOPSIS and Fuzzy TOPSIS methods. The most important risks of Alborz dam using TOPSIS method in the construction phase, respectively: Was Obtained, Destruction of forest within the dam with a score of 0.926, Displacement of reservoir residents with a score of 0.837 And in the phase of operation: Thermal stratification of dam reservoir with a score of 0.847, Landslide with a score of 0.751. Also, the most important risks of the Alborz dam using the Fuzzy Topsis method in the construction phase, respectively: Was Obtained, Displacement of reservoir residents with a score of 0.682, Demolition of forest within the dam with a score of 0.677, And in the phase of operation, respectively: Thermal stratification of dam reservoir with a score of 0.645, Landslide with a score of 0.630. Finally, one method of integration (average rating method) was used to resolve the conflict between the results.

Building density, as a ratio of the building area (across all floors) to the area of the residential plot, is an important issue in urban planning and land management. Today, due to the scarcity of resources and to reduce urban development costs and provide more desirable and yet economical services, attention has been drawn to population densification and consequently, increased building density. What criteria are effective in determining density and how effective they are, is an important issue that should be considered in determining density. Since several quantitative and qualitative criteria influence density determination, it is necessary to use decision support systems to integrate and combine criteria. The purpose of this study is to identify factors affecting building density and finally, determine the suitable area for increasing density in Qazvin. In this paper, the AHP, TOPSIS, and VIKOR methods are used for criteria weighting and area prioritization to increase the reliability coefficients. Priority areas with all three methods are Mahdieh, Imamzadeh Hossein, Minoodar, Azadegan, Babaei and Imamzadeh Ali, respectively.

Nowadays, with the increase in the number of vehicles on urban roads, a lot of interferences happen in the intersections. Therefore, it seems necessary to pay more attention to the construction or modification of the intersections, especially the interchanges, which have flourished in recent years. On the other hand, given the high costs of construction projects, it is essential to select an intersection in which its modification could address the whole network traffic problem adequately. The development and improvement of non-interconnected intersections with poor geometries and traffics not only improves the efficiency of the intersection but also improves the efficiency of the entire highway network. Therefore, in this paper, a method for classification and prioritization of the intersections is proposed to provide a more comprehensive vision for the planners and governments. This method helps them in the budget allocations and time priorities definitions of the construction or modification project efficiently. Herein, after reviewing the intersections, the TOPSIS method called is employed to analyze the Shannon entropy weights. Next, the geometric and traffic indicators are defined. Then, as a case study, the non-level intersections of Shahid Hemmat highway in Tehran (14 cases) are categorized and prioritized. The results show that a left-handed or right-handed protected intersection with the bandwidth of decrease and increase of the high speeds has a higher priority.

The quality of urban life considers as a key concept for meeting the basic needs of citizens in the context of general welfare, social well-being and people's satisfaction, as well as an effective tool for evaluating public policies, ranking places and monitoring urban planning and management policies and strategies. For this purpose, urban managers need to plan a standard environment for citizens using the studied policies from urban developers which leads to a better life quality. These studies are different depending on what kind of approaches and the quality assessment methods were used. Therefore, different approaches were used to assess the urban quality life, however, there were no extensive study to consider physical, spatial and social indicators. Many researchers believe that the life quality is a multi-dimensional concept and could be expressed using objective and subjective approaches. Therefore, the main objective of this research is to measure the quality of urban life based on two objective and subjective approaches at districts level in region one of Qom city, Iran. In this way, based on the study area features and available data, two domains of accessibility and sound pollution accompany with their indicators were assessed. These lasts were done by calculating the quantitative data, performing the qualitative analysis and questioning the citizens. In fact, there is a direct relationship between life quality and district features. If these features could be spatially optimized, their access will be simplified and ultimately will have positive effect on districts' residents and their life quality will be improved. On the other hand, the factors causing sound pollution such as vehicles, crowdsourcing on the street, day-to-day construction activities, increasing industries in the vicinity of cities are reducing the quality of life. In this research, for accessibility domain, indicators like administrative, educational, commercial, health-therapeutic, sport-recreational, cultural-religious and green space were considered and for sound pollution domain, street network, urban land use and population density were considered. For extracting and modeling these ten indicators, in two principal domains of this research, the three layers of land use, street network and population were used. By producing classified maps of two domains of accessibility and sound pollution in objective and subjective dimensions, the correlation between objective and subjective outcomes was investigated. In addition, neighborhoods ranking in terms of urban life quality was assessed. The results of integrating these layers, with regard of objective approach, showed a particular pattern of life quality rate. This pattern demonstrated the highest life quality rate in city center and it decreases gradually when we distance from city center. However, the spatial analysis of statistical data showed different pattern. Finally, in order to provide a management tool, neighborhoods were ranked based on the final indicators extracted from TOPSIS method. The best sub-districts, based on objective and subjective approaches, were Nobahar and Bajak-3. One of the other objective of the study was to investigate the correlation between the results of life quality indicators in two objective and subjective dimensions. So they were analyzed separately using Pearson's correlation coefficient. The results showed a high correlation between objective and subjective results in commercial and green space indicators, and a significant positive relationship was observed in street network, administrative, cultural-religious, health-therapeutic and population density indicators, however, the other indicators demonstrated an inverse correlation. Overall, it can be concluded that the subjective results are more reliable than the objective results.