Using Fuzzy-CA model for modelling of transportation network and satellite towns impacts on landuse change

Document Type : Original Article


1 Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran

2 University of Tehran, Faculty of Geography


Due to the nature of cities that have a dynamic system, each of its components can be effective in the development, change and even destruction of landuses. Therefore, the study of each component of urban systems is important and necessary for sustainable development planning in order to have complete and effective control over how cities develop and change landuses. A very important component in the expansion of cities are transportation networks, including roads, railways, airports and satellite towns, which due to their proximity to the core of cities have a population attraction and change of landuse. In this research, the Fuzzy-CA model is used to model and study the development and change of landuses with emphasis on satellite towns and transportation networks. In order to find the best contanguity filter for use in CA model, 8 filters were tested and their efficiency percentage was calculated by kappa coefficients calculated by VALIDATE method. The best coefficient belongs to the dis filter, which shows 86%. Modeling of landuse change predicting for 2025 and 2030 is done. The modeling results are showed that in each 5-year period, 2% of the built-up areas will be developed and the most change is occurred in barelands. In addition, agricultural lands are affected by these changes due to their proximity to urban areas.