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Model-based analysis of urban settlement process in eco-sensitive area of developing country: a study with special reference to hills of an Indian city

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Abstract

Rapid and unplanned expansion of a city into its eco-sensitive areas like hills, wetlands, and forests is becoming a major concern, particularly in developing countries. Understanding the process and causes of such unplanned urban expansion is of paramount importance for framing sustainable urban development policies. This paper presents a modelling concept that relates urban settlement in such eco-sensitive areas with potential socio-economic, demographic and geographical factors. The model is applied to an Indian city Guwahati, which is experiencing serious environmental degradation due to unplanned urban settlement in its eco-sensitive hilly areas. While topographical and settlement data were derived using satellite data in GIS platform, all other necessary data were collected from relevant government organizations. On validation of the multi-linear regression model, the coefficient of determination and the root mean square error are obtained as 0.938 and 1.7, respectively. Model results show that geographical parameters are less influencing as compared to the other socio-economic and demographic factors. Sensitivity analysis of urban settlements in hills of Guwahati city carried out with respect to the considered factors reveals that land value and free space availability in the surrounding area of a hill are the most sensitive parameters. This indicates that city development plans should give more importance to outward spatial expansion in plain areas with regulated land value and zoning scheme to minimize unauthorized settlement in eco-sensitive hilly areas of Guwahati city.

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Fig. 1

Data source: Census of India (no census could be conducted in Guwahati in 1981)

Fig. 2

Source: GMC

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Correspondence to Sagarika Patowary.

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Patowary, S., Sarma, A.K. Model-based analysis of urban settlement process in eco-sensitive area of developing country: a study with special reference to hills of an Indian city. Environ Dev Sustain 20, 1777–1795 (2018). https://doi.org/10.1007/s10668-017-9965-1

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