An integrated approach to identify suitable areas for built-up development using GIS-based multi-criteria analysis and AHP in Siliguri planning area, India
Unplanned and haphazard built-up growth due to immense pressure of population is a common problem for maximum cities of developing countries which paves to create urban sprawl by capturing spacious areas of natural environment. For this, selection of suitable places for built-up development by maint...
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Veröffentlicht in: | SN applied sciences 2021-04, Vol.3 (4), p.395, Article 395 |
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Sprache: | eng |
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Zusammenfassung: | Unplanned and haphazard built-up growth due to immense pressure of population is a common problem for maximum cities of developing countries which paves to create urban sprawl by capturing spacious areas of natural environment. For this, selection of suitable places for built-up development by maintaining ecological balance has become inevitable part for proper urban planning. Siliguri planning area, which has witnessed a tremendous growth in built-up features after the 1990, has been chosen for this work to find out best places for future built-up development with minimum effects on different natural features and also calculates the amount of different types of suitability which will be transferred from different land use and land cover categories in near future which is a novelty of this work. The work has been executed through GIS-based multi-criteria analysis, and a total of nine criteria have been taken to locate best places for built-up development. Analytic hierarchy process or AHP has been used to calculate weights of each criterion by using pair wise comparison matrix. Final site suitability map has been prepared with four different classes: high suitable, moderate suitable, less suitable and restricted area and the percentage of land is high in moderate suitable category that is 52.33% which covers the intermediary portion, mainly wastelands and agricultural land of the study area with higher facility of accessibility. Results from this work would be helpful for the planners, stakeholders, policy makers by identifying best locations for the intensive developmental projects in near future. |
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ISSN: | 2523-3963 2523-3971 |
DOI: | 10.1007/s42452-021-04354-5 |