A fuzzy classification model for identification of potential areas of urban sprawl Online publication date: Thu, 09-Aug-2018
by Pushpendra Singh Sisodia; Rajveer Singh Shekhawat; Vivekanand Tiwari
International Journal of Society Systems Science (IJSSS), Vol. 10, No. 3, 2018
Abstract: The world's urban population has increased 2% to over 50% in the last two centuries. It is estimated that it will reach over 75% by 2030. Due to increase in urban population, developing countries like India are facing more problems in mega cities like uncontrolled, unauthorised, uncoordinated, and unplanned urban growth; which is often termed as urban sprawl. Urban sprawl is generally spread between urban and rural areas, which we cannot consider either in urban nor in rural often known as semi-urban areas. The semi-urban areas are in the phase of new development from rural to urban hence it attracts more urban sprawl. In this regard, we have proposed, a fuzzy pixel classification model for identification of potential areas of urban sprawl using fuzzy logic, GIS and remote sensing. This study will help urban planner, town planner, and government to identify potential areas of urban sprawl.
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