Comparative study of the efficiency of the urban development Agent based model and Markov chain Cellular Automata model for urban development simulation in the Neyshabur

In recent decades due to the rapid and unplanned growth of cities, urban management has been faced with several issues, including models and patterns of urban development and the selection of optimal options for location. Neyshabour is known as the second most populous city in Khorasan Razavi province. Due to reduced rainfall and drought, agriculture has lost its prosperity and most of the rural population has migrated to the city. Urban development research has been done by the ABM model using the factors affecting Neyshabour urban development. These factors include: the dominant position of desirable socio-Access-quality road access to green space and privacy watercourse Services and usage is taken into account. The ABM model is a set of independent factors with goals and capabilities that interact with each other. To validate the model, the Markov-cellular method based on Landsat 7 and 8 satellite images has been used for 17 years. Based on the results of urban development simulation using the ABM, the area of the urban area has increased from 2018 to 2035 with a growth rate of 19.8%, and in the Markov-cellular model, the area of the urban area from 2018 to 2035 with a growth rate of / Will increase by 23%. Accordingly, these results do not differ much from each other. The results show that in the implementation of these two models, The ABM model suggests that social influence is dominant class and carefully detailed model compared with Markov-cellular automation is acceptable