The study simulates multi-agent model of land use dynamics related to residential urbanization and gentrification based on demographic and spatial information in the chosen districts of Istanbul. Residential Urbanization is defined with respect to aggregation of people on particular areas and migration attitudes directed by their preferences to the gentrified lands. The residential evolution of the land use caused by its agents, which is inspected through land use attributes and agent interaction. Land use of the specified area is defined by gathering data and embedding the coordinates of the study area into an influencable reciprocal lattice. We used cellular automata approach by locationing the vectorial information and propert attributes of study area into cells and capturing interaction between those cells and mobile agents, which are the residents. Mobility probablity and decision making process of the agents are defined through hedonic regression and with a vacancy adjustment function. Applying our approach gave accurate results tested on the use case data for the selected period thus promises a strong hybrid model of complex adaptive systems for urban dynamics.