A cellular automata model to predict the growth trends in Tripoli-Libya

The world population is rapidly increasing due to uncontrolled growth especially in developing countries, however governments still hold the responsibility to provide civilized and modern life which includes infrastructure, housing and healthcare system. Random settlements are the main problem associated with this issue. To solve these problems governments must have advanced spatial plan to deal with this growth and demand on people desires. Achieving sustainable development which will reduce many of the problems in the future predict population and size of area required for this inhabitants and the establishment of appropriate projects within each region. This paper is considering a case study based on a real data of the Libyan capital Tripoli. The study has considered three sceneries increasing, constant and decreasing in population prediction. The study covered a period of 60 years from 1980 to 2040.