Simulating urban encroachment on rural land with fuzzy-logic-controlled cellular automata in a geographical information system

Encroachment on rural land is a serious problem in developing countries, particularly in regions that are undergoing rapid economic development. Monitoring and simulating land conversions thus are critical to the formulation of a sustainable development strategy. This paper describes a computer-based approach for simulating land encroachment with fuzzy-logic-controlled cellular automata (CA). Unlike CA models developed in the domain of natural sciences, this simulation model seeks to integrate rule definition with explicit, interactive and heuristic decision-making processes. Fuzzy logic was used to capture the feature of land conversion behaviour, while CA was to used to simulate global pattern from local rules and implemented in a geographical information system (GIS) using ARC/INFO software. By providing a series of simulation scenarios, the study reveals potential hazardous consequences inherent in some development policies that would jeopardize sustainable development of the region and demonstrates that this approach is a useful tool to provide decision support.1998 Academic Press