Peri-urbanization is not only triggered by socio-economic development but also resulted from interactions between humans and their environment. An integrated model that links a stock-flow model with an agent-based model can enhance our understanding of the interactions among land use, human decision-making, and environmental change. In this paper, we provide an illustration of a joint application of stock-flow and agent-based modelling to simulate land cover change from agricultural landscape to an urbanized system via the integration of biophysical approach and decision making bodies of land cover change. Therefore, a case study is used to demonstrate the change patterns of agricultural land and urban land. The major stocks and flows and their interactions can be represented in the conceptual energy diagram. The rate of urban asset accumulation determines the amount of areas which should be converted to urban built-up lands. Three main agents of the study area have been chosen and their action rules are used to allocate land use activities on the most suitable places which can reveal the results of decision making. Results indicate that the dynamic changes of the peri-urbanization in the study region arise from lands adjacent to built-up lands or along the roads where are easily accessible to plain agricultural lands with flat topography.