agent based modeling

Urban development involves numerous independent organizations, and effective coordination among them is crucial to the success of site selection for new development areas. This study aims to identify the interdependencies among these organizations and to propose a logical model for managing such relationships. Using a multiple embedded qualitative case study approach, the research first identifies the key interdependencies present in the urban development process. Given the complexity of these interactions, and the strengths of the agent-based modeling paradigm in addressing complex systems, an agent-based coordination model is developed. The proposed model, built on a set of simple "if-then" rules, provides urban development decision-makers with a logical and adaptable framework to manage coordination challenges effectively.

 The primary goal in emergencies is the complete evacuation of the crowd to save lives, but the behaviors of the crowd, their interactions with the physical environment, and the use of evacuation management strategies can affect its time, particularly in religious places. In this study, we aim to evaluate the impact of the crowd’s social dependencies and fear and the use of a phased evacuation strategy on the duration of emergency crowd evacuation in Bani Hashem Shrine.

This is a descriptive-analytical study using the agent-oriented approach and the integrated framework for crowd evaluation and evacuation. The pilgrims to the holy shrine of Bani Hashem on special days, such as Muharram and Arbaeen, constituted the study population. Based on plausible scenarios, crowd evacuation in emergency and non-emergency situations was simulated using Pathfinder software to evaluate the effects of social dependency, fear, and the use of a phased evacuation strategy on the duration of crowd evacuation.

To evaluate the effect of social dependency, simulations were conducted in four scenarios, with dependency rates of 5, 10, 15, and 20% of the population. The results showed an increase in the evacuation time by 623, 635, 651, and 675 seconds, respectively. To evaluate the impact of the fear factor, simulations were conducted in four scenarios, with fear rates of 5, 10, 15, and 20% of the population. The results showed that fear increased the evacuation time by 644, 675, 749, and 854 seconds, respectively. To assess the impact of phased evacuation strategy use, the simulation was carried out in three scenarios with evacuation delays of 45, 90, and 135 seconds. The results showed an increase in the evacuation time by 621, 632, and 647 seconds, respectively.

The duration of the complete crowd evacuation of the Bani Hashem shrine in normal and non-emergency conditions is 619 seconds. The crowd’s behaviors resulting from social dependencies and fear and the use of a phased evacuation strategy can increase the evacuation duration.

The present study aimed to develop a simulation model for Sports Tourism Development (STD) in Ardabil Province, Iran.

Utilizing a mixed-methods (qualitative and quantitative) research design, this applied study with a descriptive-analytical approach was performed on theoretical and experimental experts (n=18) as the statistical population, selected via non-probability, purposive sampling. For this purpose, interviews and questionnaires were employed as the data collection tools. During the qualitative phase, the main categories (themes) and sub-categories (sub-themes) of STD in Ardabil Province, Iran, were initially identified based on thematic analysis. Then, in the quantitative phase, the effective factors were prioritized by the fuzzy Delphi method (FDM). At last, the given factors acquired from the qualitative analysis were simulated with reference to System Dynamics (SD) and Agent-Based Modeling (ABM). The data analysis was also performed using MAXQDA 20 in the qualitative phase, Microsoft Excel, AnyLogic and Vensim in the quantitative one.

The study results reduced to 62 initial codes, 13 sub-categories, 6 main categories (i.e., infrastructural, economic, macro-policies of sports tourism, marketing, sports, and human resources). In this sense, the infrastructural factor was in the first priority as the most effective one. Besides, the simulation output demonstrated that the proposed model could adequately estimate the future of STD in Ardabil Province, Iran.

According to the results of the research, it is desirable for the managers of Ardabil province to pay special attention to the identified effective factors for the development of sports tourism.

Microfinance as a predominant poverty alleviation strategy with the aim of lifting poor out of poverty, provides financial services to poor. This research examines the effect of using micro loans on the growth of people's income and lifting them from poverty line. Also, with regard to the financial aid to MFI, changing in years of donate and its effect on lifting people from poverty line are discussed. In addition, the effect of marketing and increasing the probability of sales as a complementary service of microfinance, in the growth of income is investigated. Therefore, this research, examines the effect of microfinance on increase income and lifting poor from poverty by considering two policies changing the number of years of donate to MFI and increasing the probability of selling the product.

In MFIs, the way of providing resources, different conditions of lending, as well as the interactions between people, and become member of MFIs and influencing receipting of loans, creates a complex environment. The heterogeneous characteristics and behaviors as well as the interactions between agents in a dynamic environment, cause the emergence of complex events that using agent-based modeling approach can help to understand and model. agent-based modeling is a simulation approach of a set of autonomous, independent and decision-making agents that are interconnected and tries to investigate the final results of a system by modeling the behavior of individual elements. In this research, agent-based modeling approach has been used.

The result shows the provision of microloans has increased people's income and provides the possibility of getting out of absolute poverty for most people. In this research, we considered the interest rate to be zero, the results showed the resorce of MFI based on savings and repayment of installments can increase, so that the number of paid loans even in the policy of 2 years donate increased. Therefore, by providing interest-free microloans and even limiting the duration of assistance, a sustainable microfinance MFI can be created. Also, the policy of changing the number of years of donate to MFI and increasing the number of years of donate from three years to four years does not have a significant effect on increasing people's income, and MFI will be able to continue based on savings and receiving repayment of installments, but increasing the number of years of donate will cause the number of loans so that by increasing years of donate to 2, 3 and 4, the number of loans paid is equal to 155, 221 and 278, respectively. Also, the results of modeling of increasing the probability of sale showed that in the scenario with the probability of 80% sales, the income of people and the number of people above the poverty line are much higher than the scenario of the probability of 60% sales. Totally, the modeling of the policies of changing the number of donate years to MFI and changing the probability of sales showed that more financial aid to MFI does not lead to more income of people and lifitin tehm from poverty line, but what causes more income is helping to marketing and sales product.

Reducing the number of donate years and using the released financial resources to create a market and increase the possibility of sales will make poverty alleviation policies more effective. In other words, if the financial resources of donate helps to create guaranteed markets or to form permanent markets, creates a greater leverage effect for increasing income of  members than the increase the number of donate years to MFI.

Through investigating the phenomenon of tax evasion, tax experts are facing the constant challenge of designing and implementing policies to reduce tax evasion due to its hidden nature part. Agent-based models are one of the powerful tools for the behavioral simulation of tax evasion. By creating a virtual laboratory environment with agent-based models, researchers can examine the impact of different policies on people's behavior. In this research, people's behavior is modeled based on their risk-taking degree using a factor-based model; In such a way that the degree of risk-taking in this field is affected by three components of the social factors, the audit-penalty system and the amount of benefit from the public goods they received. The results emphasize the importance of paying attention to social factors, political factors, and government efficiency to reduce tax evasion behavior and increase the total amount of tax payment. The simulation result indicates that among the two audit-penalty policy combinations, a high audit and low penalty is a more suitable policy than a low audit and high penalty, and it causes the number of tax evaders to decrease, as well as the total amount of tax payment increase. Another result is that the government should pay more attention to distribution efficiency to reduce tax evasion behavior and allocation efficiency to increase total tax payments.

In today’s world, the popularity of E-commerce and online transactions has increased dramatically. Such transactions are done indirectly with the help of an intermediary or a third party. A review of the literature shows that reputation plays an important role in reducing buyer’s risk in such situations. An online reputation management system is a system that is formed from the positive or negative beliefs or opinions of people about a person, product or service and can guarantee the reliability of transactions in the E-commerce systems. In these systems, shipping services and transportation costs are also among the items that can influence the buyer’s decision, because like the traditional way, the buyer does not buy the product from the store or in person, and factors such as the distance between buyer and seller might impact the shipping cost or even buyer’s trust. Buyer-seller interaction is a traditional field of application of game theory. In this research, the combined approach of agent-based simulation and game theory is used to evaluate an E-commerce system, in which a centralized reputation management system is provided by a trusted third party. Then, a numerical evaluation is performed to evaluate the proposed model, in which the impact of the policies of a group of buyers and sellers and their behavior in the E-commerce system is modeled.

The increasing growth of electricity consumption in recent years has made its demand management a vital issue in the field of energy. One of the important actors in the field of electricity consumption are industries, which requires more attention to this field. In 2019, the country's electricity consumption in the industrial sector was 34.7%, therefore, it will be necessary to take measures to change the behavior of electric energy consumers in the industrial sector, especially during peak consumption times. For this reason, in line with global experiences, we can expect the consumption pattern in this sector to be revised by revising the tariff structures of the industrial sector. In this research, a new tariff structure has been proposed by replacing price-quantity packages instead of a fixed tariff at the time of peak consumption.Also, to measure the effectiveness of the proposed tariff structures, the results were evaluated for an industrial town with 62 subscribers in Mazandaran with an agent-based approach. The results obtained from the simulation show that by applying this structure to the subscribers, the average peak load demand can be reduced by 2.57% to 9.51%

Increasing operating profit is a challenge faced by pharmaceutical distribution companies. Most of the researches conducted in this field have a cost reduction approach. The online monitoring system is one of the effective methods that can be used for managers' decision-making and improving the performance of the pharmaceutical distribution chain with the approach of reducing costs and increasing revenues. To create this system, conceptual, mathematical and computer modeling is needed. The aim of this research is to develop a mathematical model of the online monitoring system to improve the pharmaceutical distribution system based on a conceptual model using a reinforcement learning approach. The mathematical model was derived based on the factor-based conceptual model and using the multi-factorial reinforcement learning approach. After extracting the mathematical model, the effectiveness of the model was validated by comparing the results obtained from the output of the mathematical model and the actual results in a pharmaceutical distribution company. The findings of the research showed that the developed mathematical model has the ability to continuously improve the goals, decisions and performance of the pharmaceutical distribution chain processes, according to the interactions and changes in the behavior of agents and the state of the environment.

During the last two decades, some international treaties have played a decisive role in facilitating scientific collaboration between member countries. For this reason, the study aims to predict the effect of Iran's membership in these treaties on three things: First, the amount of scientific collaboration between Iran and the members of each treaty; Second, the total amount of Iran's international scientific collaboration; Third, the extent of Iran's dependence on scientific collaboration with the USA, as the most key actor in the international scientific collaboration network. According to the background, the treaties that have a significant impact on international scientific collaboration are G7, G20, EU, OECD, OPEC, APEC, and BRICS. This study is based on the simulation method (with an agent-based modeling approach). This method was used to simulate the network of scientific collaboration between independent countries with more than one million people in the period of 2023-2042. The secondary data required for the simulation were collected from the Web of Science database and the United Nations database. Hypotheses related to possible scenarios were tested based on difference-in-difference statistical model. All calculations, including network simulation and hypothesis testing, were performed in the R software environment. The findings showed that Iran's joining G20, OECD, and APEC will significantly increase Iran's scientific collaboration with the members of each treaty. However, Iran's membership in the BRICS will not have a significant effect on its collaboration with the BRICS members. Also, Iran's joining each of these four treaties will significantly increase the total amount of Iran's international scientific collaboration. However, the increase in the G20 scenario is higher, and in the BRICS scenario is lower than other treaties. At the same time, Iran's membership in the G20 and BRICS will lead to a significant increase in Iran's dependence on collaboration with the USA. In return, Iran's membership in the OECD and APEC will play a significant role in reducing Iran's dependence on collaboration with the USA. Another advantage of Iran's membership in the OECD is strengthening its collaboration with two of the key players in Europe (France and Italy). One of the side benefits of Iran's joining APEC is the significant increase in its collaboration with the key player in East Asia (China). The results indicated that Iran's joining OECD and APEC will help to increase Iran's visibility in the international scientific collaboration network and reduce Iran's dependence on collaboration with the USA.

Nowadays, due to the globalization of the economy, the problems related to the economic situation in the countries have been given more attention. These issues and dilemmas have resulted in many consequences for societies, therefore economic inequality has become an important issue for countries and they are looking for ways to reduce it (Tanjitpiyanond et al., 2022; Vyas et al., 2022). The issues and problems that economic inequality creates for countries can sometimes lead to irreparable crises for countries (Beesley & Hawkins, 2022; Neapolitan, 1999; Stiglitz, 2012; Wilkinson & Pickett, 2010). Economic inequality is a phenomenon that classical economics hardly can clarify its exact roots and consequences, and this is because the approach of classical economics does not consider all economic aspects and cause and effect relationships between variables (Markey- Towler & Foster, 2013). Charities and non-governmental organizations are among the institutions that there is a lot of discussion about their impact in reducing economic inequality and in general the impact of charities on macroeconomics and economic inequality. Therefore, in recent years, much research has been conducted on the effect of charities and non-governmental organizations in reducing economic inequality (Arulampalam et al., 2015; Fateh Ahmad & Majid, 2022; Jaffer, 2020; Mastromatteo & Russo, 2017). At present, the activities of charities in our country are such that they do not bring about big events in solving social issues, and the main reason for the weakness of charities in making a proper impact to improve society is the existence of many trustees without a proper road map (Lotfi, 2018).

The main purpose of the current study is to investigate the effect of charities and also "the proper distribution of charities' resources" on economic inequality. Therefore, in a laboratory environment, the mechanism of "proper distribution of charity resources" is examined by designing scenarios. Because the implementation of these scenarios in real space requires high cost and time, in the present study, the agent-based modeling approach was used (An et al., 2021).One of the simulation approaches that has recently received a lot of attention in the field of social and economic sciences, especially in systems that have a lot of complexity, is agent-based modeling. In this approach, different components of a system are modeled using the concept of an agent, and in social sciences, each agent can represent a person in society, and in this type of modeling, it is also possible to define exchanges and processes between system components (Wilensky & Rand, 2015). In the present study, the simulation is implemented in the NetLogo software, and Epstein and Axtell's "Sugarscape" model was used to model the economic system of the present study (Epstein & Axtell, 1996). This model is also available in the NetLogo software standard library (Wilensky & Rand, 2015). The "Sugarscape" model has been developed based on the topic that is the main goal of the present study so that the role of charities and the way of distribution of charities' resources can be modeled and the questions raised can be examined using predetermined scenarios. Economic inequality in different scenarios is reported using the Gini coefficient index (Deltas, 2003).

Table 1 shows the results of 10 times of the implementation of different scenarios designed in this article, which briefly shows the effect of the existence of charities and also the creation of a suitable mechanism for distributing the resources of charities in the economic model studied in this article. Table 1. Statistical report of the number of people of different economic classes after 1 year By comparing the average Gini coefficient in three different scenarios, it is clear that the best economic situation in terms of economic inequality was the third scenario. The average Gini coefficient in 10 simulations of the third scenario, i.e. the second behavioral model of charities, was 0.241 and compared to the previous two scenarios, it has the lowest value. This issue can answer the second question of the present study and how to improve the performance of charities in the economic system is determined by creating a centralized database for charities. Therefore, if a centralized database is created for charities to operate in, it can increase the effectiveness of charities in improving economic conditions in the long run. It is suggested that to reduce the economic inequality in the long term, the environment of charities should be improved and to reduce parallelism and errors in identifying the real needy, a mechanism should be provided for the proper distribution of charity resources.

In the presented model, other economic factors such as producers, banks, etc. have been omitted, and only the exchange of the agents' wealth with the environment and each other has been modeled. Therefore, it will be possible that researchers to develop a model in the field of socio-economic and charitable systems. In this study, the Epstein and Excels model was developed for the effect of charities. To develop the model, another type of agent was added, in addition to the main agents of the model. The charity agent has been added as an institution to create economic balance in the model. On the other hand, the behavioral model of people has also been developed and good behavior has been modeled for them. It is in this way that it is possible to create a flow of resource distribution from the well-off people to the less well-off people of society. Two questions were asked about these issues. The first question was whether the creation of charitable institutions and good behavior by people has any effect on economic inequality. The second question is the role of the existence of a suitable distribution system of good resources in the model. For this reason, two different types of charity behavior models were developed. In the first model, charities help the agents who have referred to them, without having a database to identify the need and also to meet the needs of the people. The weakness of this model can be examined from several different aspects, which were mentioned in different parts of the model presentation. For this reason, there is a need for a system in which charities can provide their services and at the macro level of society, good resources can be distributed appropriately and purposefully among the less fortunate.

The purpose of this research is to design and model sustainable supply chain risk management through the agent-based approach in order to reduce risk and human resource productivity. In this research, the supply chain system is divided into sub-systems based on operations, manufacturing, sourcing and delivery, as well as based on the flow of materials, money and information. The whole system is created by entering customer demand and using Anylogic software. It runs for 18 weeks, 2 weeks of warm-up and 25 repetitions of the model. This research provides a comprehensive framework for managers and decision makers in a practical way. The agent-based approach was used to select the best scenario to reduce risk. In the current research, the field observation method was used to collect information in order to enter information in the simulation stage. After reviewing and categorizing the risks in the system, a simulation model is designed using Anylogic software to model the number of lost sales and determine the inventory level for the company. The results obtained from the examination of four scenarios indicate that the competition conditions are the main determinant of the design of the sustainable supply chain model and the procurement time in the scenarios did not lead to a change in the superior policy and only in most cases (except for the demand signal processing policy that the procurement time does not involve in decision-making) the design of the sustainable supply chain model has increased compared to the similar scenario.

The main objective of the present study is to design a simulation model for human resource productivity development in Sports and Youth General Directorate of the Yazd Province, Iran.

In this study, a mixed method approach (qualitative and quantitative) was used, which was applied in terms of purpose and descriptive-analytical in terms of nature and method. In the qualitative part, the statistical population included university faculty members, managers, assistants, as well as experts of the Sports and Youth General Directorate of the Yazd Province, and in the quantitative part, it included university faculty members. Due to the wide range of experts, sampling was performed by snowball method in the qualitative part until reaching theoretical saturation, and in the quantitative part, it was carried out by judgmental sampling. The measuring tools in the qualitative and quantitative parts were interview and questionnaire, respectively. Moreover, in order to analyze the specialized interviews, thematic analysis method was used, and then the relationship model was tested by the DEMATEL method. Finally, the human resource productivity development model was simulated using the agent-based modeling approach.

The data analysis led to the identification of 50 initial codes, 12 sub-themes, and 3 main themes (organizational, environmental, and occupational), and the organizational factor was recognized as the most influential factor. The simulation results also indicate that the presented model can provide an appropriate estimate of the future development of human resource productivity in the Sports and Youth General Directorate of the Yazd Province.

The results of the present research work suggest that sports managers should provide suitable conditions in terms of environment, occupation, and organization, which play a significant role in the development of human resources productivity in sports organizations.

The tragedy of commons is always an inevitable phenomenon in common-pool resources exposed to residents' selfish perceptions. Many researchers of empirical studies believe that self-governing institutions that emerge within a society can solve the tragedy of the commons, but what still needs to be added in guiding this choice is a clearer picture of the mechanisms behind the institutional emergence in the successful management of common-pool resources. Agent-based models provide a suitable tool for this task due to their extraordinary capacity to connect micro and macro levels. This The presents study seeks to develop a simple abstract model of the institutional emergence pattern by introducing the possibility of cheat and enforcement, which has been observed in renewable common-pool resource issues. This article study uses the ADICO institutional grammar as a basic structure to model the institutional rules and define the users' strategies. Users modify their behavior through a transformational process and establish a management institution to manage common-pool resources, eventually leading to many advantages for users and common-pool resources. The results show that even within this simplified model, the self-governing institutions maintain the resource balance at a stable level and improve the average income of the users compared to the open access in all social networks.

The distribution of income and wealth in Iran is highly dependent on monetary policy. Iran's macroeconomic variables show that the country is experiencing an increase in inflation, liquidity and social inequality. Given that the facility repayment rate plays a role in channeling resources to investments, and given the role of the central bank in determining and regulating this variable in Iran, this study examines the impact of changing the facility repayment rate as a monetary policy tool on macroeconomics variables related to the distribution of income and wealth in society. The contribution of this research is to provide the agent-based model for Iran and to study the effects of different scenarios of decreasing, increasing and constant trend of facility repayment rate on the distribution of income and wealth, and other macroeconomic variables.

Two types of approaches can be used to model this problem: (1) simulation with the Dynamic Stochastic General Equilibrium (DSGE) approach and (2) simulation with the Agent-based Computational Economics (ACE) approach. DSGE models seek to find the optimal point, in which pricing is done through aggregating supply and demand by the Walrasian auctioneer, and none of the factors can decide on their variables. While in ACE simulations, changing process of variables and factors is examined and each factor has the ability to decide about its variables based on its observation of the system. The ACE approach has been used because of the proximity of the simulation to reality and the ability to examine the process. In this simulation, the effect of changing the facility repayment rate on the distribution of income and wealth and other macroeconomic variables is examined in three scenarios: decreasing, increasing and fixed facility repayment rate. Agents that are considered in the proposed simulation are: (1) The Central bank as policy-maker agent that decides about facility repayment rate and money supply volume, (2) The bank is responsible for allocating credit to firms and depositing from households and distributing income from banking activities among depositors. It is also the responsibility of the bank to sell consumer goods and capital of bankrupt companies that have not been able to repay their facilities, (3) Firms are responsible for the production of consumer goods and capital and its sale in the market, and (4) A household that provides its labor force to firms in exchange for wages and provides consumer goods for its livelihood in the consumer goods market. In this simulation, policy-making is done by the central bank and the existence of the government, and fiscal policies are ignored and only the mentioned monetary policy (facility repayment rate) is investigated.In this research, the market is defined in a way that each agent on the demand side observes a random list in terms of number of factors on the supply side and buys from the supplier agent that offers the lowest price. Model have 4 markets as follows:(1) the labor market, (2) consumer goods market, (3) capital goods market, and (4) credit market. The characteristic of this type of market is that the market mechanism is a random adaptation mechanism, and all agents on the demand side have incomplete information from suppliers and vice versa. None of agents see all the market prices and decide to buy only on the basis of incomplete observations of the system. Also, on the supplier side, the firm does not see the cumulative need of the market. It means that the firm estimates the amount of production for this period based solely on its own personal experience in the previous periods, and according to that estimate, it employs labor and produces goods and services. And firms set prices based on their experience on previous periods. This kind of market attitude in simulation has caused the simulated market to be closer to the real world.

The result of this simulation shows that the repayment rate of incremental scenario caused the collapse of the simulation system and also the Gini coefficient increased, which indicates the disparity in the distribution of income and wealth in society. The fixed scenario does not show an effect on improving the Gini coefficient and on the other hand causes the bankruptcy of many firms in the long run. The best result is the reducing scenario. In this scenario, the system achieved sustainable economic growth, controlled liquidity, and a reduction in the Gini coefficient.

In the absence of speculative markets, all the money generated in the banking system is directed to the production and development of economic activities. In addition, decreasing repayment rate of facilities can improve the distribution of income and wealth in society.

In this paper, using an agent-based model, the behavior of commercial banks and investment funds is simulated. We have tried to show systemic risk transmission mechanism from the money market to the capital market through balance sheet changes. In this model, the money and capital markets are endogenously modeled and the price is determined by interest rate and stock market index in these markets respectively. 81 percent of Iranian commercial banks have a mixed portfolio of interbank loans and securities and can spread the crisis throughout the financial system in case of a shock. This process happens through the fire sale mechanism and investment fund unit redemption and can make stocks undervalued in the capital market. Although higher imposed capital adequacy and liquid assets rate can reduce the shock effect on price in the capital market, these high rates make banks portfolios mixed and increases systemic risk. Optimal capital adequacy rate is estimated 19 percent.

In this study, the information security knowledge sharing model is presented from the integration of the theories of planned behavior, motivation, triandis and behavior change stages in an organization by combining the statistical method of structural equation modeling and agent-based modeling and simulation; Also, in this study, structural equation modeling has been used to build models as inputs for factor-based modeling and to improve and improve their reliability and validity. in other words; In this study, structural equation modeling has been applied for factor-based modeling. The data collection method is a questionnaire made by the researcher and collected by simple random sampling method. After testing the validity and reliability of the questionnaire, data was collected from 217 participants. Using SmartPLS3.2.6 and Anylogic software, hypothesis testing and simulation based on statistical results are analyzed in order to analyze the change of behavior over time. The findings have shown that the factors of the theory of planned behavior, including attitude, mental norms, perceived behavioral control and motivation theory, which include internal and external motivational factors, and the Triandis model, in order to facilitate the conditions, have positive effects on the stages of behavior change from It includes the stages of pre-reflection, reflection, preparation, action, maintenance and termination. In addition, the change in information security knowledge sharing behavior in the organization increases over time until reaching the end stage. The innovation of this study is factor-based modeling in order to test hypotheses over time along with the statistical method of structural equation modeling. In addition, the behavior change model has also been applied to analyze the behavior change stages of information security knowledge sharing. Knowledge sharing plays an important role in the field of information security; Because it has a positive effect on the awareness of employees' information security.

Among all the natural hazards in the country, according to recorded statistics and observations, floods have been the most destructive, and it has the highest frequency of occurrence. Floods are one of the known natural disasters that cause a lot of financial and human losses. This phenomenon can be controlled by identifying flood-prone areas and proper management. In the current era, due to human encroachment on rivers and land-use change or destruction of vegetation, flood damage has increased. These factors cause, in addition to increasing human and financial losses, damages such as soil erosion upstream and sedimentation downstream. In this research, using agent-based modeling in the NetLogo simulation environment, flood-prone areas in Shush city have been identified. The most important input was topography (digital elevation model) and then dynamic and temporal simulation was done by performing tessellation on the area and considering the rainfall in each cell as an agent. Using spatial analysis in ArcGIS software and comparing the simulation results with the location of the city and land use maps of the region, the possible causes of floods in this region have been investigated. Agent-based models with the incorporation of geospatial information systems (GIS) can be used as a new solution to solve spatial problems such as natural crises, destructive environmental impacts, and so on. Finally, preventive measures to prevent floods in this area are proposed.