Modelling urban sprawl using fuzzy cellular automata model for the city of Jaipur Online publication date: Thu, 11-Oct-2018
by Pushpendra Singh Sisodia; Rajveer Singh Shekhawat; Vivekanand Tiwari
International Journal of Society Systems Science (IJSSS), Vol. 10, No. 4, 2018
Abstract: The unorganised, unplanned, uncontrolled, and unauthorised development has been termed as urban sprawl and often referring to as a complex pattern of transportation, social, economic, and land use development. The rapid increase in population and economic development are the primary influences of urban sprawl. Urban sprawl is the major problem of metropolitan areas all over the world especially developing countries. The impact of urban sprawl can be noted as pollution, traffic, loss of prime agricultural land, deforestation, congestion of places, and water pollution. In this paper, we have proposed a fuzzy-CA-Markov model for modelling urban sprawl. The factors which influence the urban sprawl is considered as fuzzy parameter like accessibility from local road, accessibility from main road, accessibility from major road, slop, altitude, and density. The future prediction of urban sprawl was measured through Markov's cellular automata model.
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