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Volume 10 - No: 3

Development of a GIS-Based Multi-Criteria Decision Analysis (MCDA) Model for Landfill Site Selection

  • S. Renuka Jyothi Assistant Professor, Department of Biotechnology and Genetics, JAIN (Deemed-to-be University), Bangalore, Karnataka, India.
    j.renuka@jainuniversity.ac.in
    0000-0003-3248-337X
  • Ashuvendra Singh School of Engineering & Computing, Dev Bhoomi Uttarakhand University, Dehradun, India.
    ce.ashuvendra@dbuu.ac.in
    0009-0008-8333-225X
  • Sumeet Singh Sarpal Centre of Research Impact and Outcome, Chitkara University, Rajpura, Punjab, India.
    sumeet.sarpal.orp@chitkara.edu.in
    0009-0002-9163-4895
  • V. Mamatha Assistant Professor, Department of Computer Science & IT, Arka Jain University, Jamshedpur, Jharkhand, India.
    mamatha.v@arkajainuniversity.ac.in
    0000-0002-4694-0503
  • Dr.A.C. Santha Sheela Associate Professor, Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, India.
    santhasheela.cse@sathyabama.ac.in
    0000-0003-2466-543X
  • Dr. Ajay Kumar Karna Assistant Professor, Department of Fruit Science, Institute of Agricultural Sciences, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India.
    ajaykkarna@soa.ac.in
    0009-0009-9169-8814
DOI: 10.28978/nesciences.1811124
Keywords: GIS, multi-criteria decision analysis, landfill site selection, analytical hierarchy process, weighted sum model, urban planning, environmental management, spatial analysis.

Abstract

Having the right locations to put solid waste is a cornerstone of good urban planning, responsible environmental management, and waste management systems that align with longer term sustainability objectives. This study employed an integrated approach combining Geographic Information Systems with Multi-Criteria Decision Analysis to evaluate potential landfill locations in a systematic and quantitative manner. The model weighs a whole range of environmental, social, and technical factors, including distance to residential communities, compatibility with land use, geological considerations, as well as risks to the environmental sites. GIS was used to map and interrogate spatial data, while the MCDA methods; Analytical Hierarchy Process (AHP) and Weighted Sum Model (WSM) were used to rank potential sites. The model promotes an organized and transparent assessment process for decision-making, and reduces environmental risk and regulator compliance liability. The GIS and MCDA model was applied to a study area to illustrate a practical example of how a landfill site can be systematically assessed based on multi-criteria. This research provided a useful tool to urban planners and policy makers involved with sustainable waste disposal site management.

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Date

December 2025

Page Number

288-300