Industrial Land Suitability Analysis for Aligarh District Using GIS-Based Multi-Criteria Evaluation (MCE) Technique
Journal: Architecture Engineering and Science DOI: 10.32629/aes.v6i2.3802
Abstract
This paper presents a comprehensive GIS based Multi-Criteria Evaluation (MCE) framework for prospective regions suitable for industrial development in District Aligarh (Uttar Pradesh), India. The research concerns the increasing pressure of industrial expansion on land resources and seeks to integrate technological tools for strategic planning. Geographic Information Systems (GIS) and the Analytical Hierarchy Process (AHP) are combined to provide effective site selection model. Six critical factors influencing industrial site suitability — land cover, railway accessibility, road accessibility, proximity to built-up areas, distance from water bodies, and soil typology — were assessed through expert surveys and analyzed using AHP to determine their relative weight. The resulting spatial layers were processed through weighted overlay analysis in GIS to produce a comprehensive suitability map. The analysis identifies highly suitable zones primarily along major transportation corridors such as Delhi Road, Khair Road, and Agra Road. This integrated methodology aids policymakers and urban planners in promoting sustainable industrial development while minimizing ecological and social disruption.
Keywords
Industrial development, GIS, Multi-Criteria Evaluation (MCE), Analytical Hierarchy Process (AHP), Land suitability Aligarh, Spatial analysis, Urban planning.
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[3]Chuvieco, E. (1993). Integration of linear programming and GIS for land-use planning. International Journal of Geographical Information Systems, 7(1), 71–83.
[4]Farooq, S. & Ahmad, S. (2008). Urban sprawl development and land use changes in Aligarh city using remote sensing and GIS techniques. Journal of the Indian Society of Remote Sensing, 36(1), 77–88. https://doi.org/10.1007/s12524-008-0008-1
[5]Johar, A., Jain, S. S. & Garg, P. K. (2013). GIS-based industrial site suitability analysis: A case study of Banda district, Uttar Pradesh. Journal of Geomatics, 7(2), 202–210.
[6]Malczewski, J. (1996). A GIS-based approach to multiple criteria group decision-making. International Journal of Geographical Information Science, 10(8), 955–971.
[7]Mohammed, K. S., Elhadary, Y. A. E., & Samat, N. (2016). GIS-based land suitability analysis using AHP for urban expansion in Penang Island, Malaysia. SHS Web of Conferences, 23, 03001. https://doi.org/10.1051/shsconf/20162303001
[8]Ministry of Housing and Urban Affairs (2015). Urban and Regional Development Plans Formulation and Implementation (URDPFI) Guidelines: Volume I . Government of India.
[9]Parvez, M. & Islam, S. (2020). Sites Suitability Analysis of Potential Urban Growth in Pabna Municipality Area in Bangladesh: AHP and Geospatial Approaches. Journal of Geographical Studies, 3(2), 82–92. https://doi.org/10.21523/gcj5.19030204
[10]Rikalovic, A. & Cocic, I. (2014). GIS-based multi-criteria analysis for industrial site selection. Journal of Applied Engineering Science, 12(3), 197–206. https://doi.org/10.5937/jaes12-6146
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[12]Saran, S. & Ramana, K. V. (2018). Monitoring of land use/land cover dynamics using remote sensing and GIS: A case study from Aligarh. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-5, 447–454. https://doi.org/10.5194/isprs-annals-IV-5-447-2018
[13]Town and Country Planning Department, Uttar Pradesh. (2021). Master Plan Aligarh – 2021.Government of Uttar Pradesh.
[14]Weerakoon, R. (2014). A review of GIS-based multi-criteria decision-making methods for land use planning. Journal of Environmental Planning and Management, 57(9), 1295–1311.
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