Title: A novel approach to predict the urban sprawl

Authors: Pushpendra Singh Sisodia; Vivekanand Tiwari; Rajveer Singh Shekhawat

Addresses: Manipal University Jaipur, DehmiKalan, Near GVK Toll Plaza, Jaipur-Ajmer Expressway, Jaipur, Rajasthan 303007, India ' Manipal University Jaipur, DehmiKalan, Near GVK Toll Plaza, Jaipur-Ajmer Expressway, Jaipur, Rajasthan 303007, India ' Manipal University Jaipur, DehmiKalan, Near GVK Toll Plaza, Jaipur-Ajmer Expressway, Jaipur, Rajasthan 303007, India

Abstract: The yearly increase in the population of India was 68.33 million in 1981 and grew to 121.01 million in 2011, respectively. It is estimated that by the year 2028 India will hold the largest population of the world. The prompt upsurge of the Indian population will force people to migrate from the rural areas to the mega cities. This enormous migration will increase the demand for more space to live in mega cities and will lead to a situation of urban sprawl. The key challenges are to achieve sustainable development and to predict the future urban sprawl. In this paper, we have proposed a novel model to predict the future urban sprawl. We have used an integrated approach of remote sensing, GIS, and MLP to propose a novel model to predict the future urban sprawl for the city Jaipur up to the year 2051.

Keywords: urban sprawl prediction; remote sensing; geographic information systems; GIS; multilayer perceptron; MLP; India; megacities; cities; sustainable development; sustainability; modelling; urbanisation.

DOI: 10.1504/IJSSS.2016.079153

International Journal of Society Systems Science, 2016 Vol.8 No.3, pp.191 - 204

Accepted: 04 Apr 2016
Published online: 14 Sep 2016 *

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