Delineation of environmentally sustainable urban settlement using GIS-based MIF and AHP techniques

Choosing appropriate locations for built-up growth while maintaining natural balance has become necessary for sustainable urban planning. To this end, two multi-criteria decision-making (MCDM) approaches—the multi-influencing factor (MIF) and the analytical hierarchy process (AHP)—have been applied...

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Main Authors: Nitin Liladhar Rane, Saurabh Purushottam Choudhary, Arjun Saha, Aman Srivastava, Chaitanya Baliram Pande, Fahad Alshehri, Ranjan Roy, Okan Mert Katipoğlu, Hazem Ghassan Abdo
Format: Article
Language:English
Published: Taylor & Francis Group 2024-01-01
Series:Geocarto International
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Online Access:https://www.tandfonline.com/doi/10.1080/10106049.2024.2335249
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author Nitin Liladhar Rane
Saurabh Purushottam Choudhary
Arjun Saha
Aman Srivastava
Chaitanya Baliram Pande
Fahad Alshehri
Ranjan Roy
Okan Mert Katipoğlu
Hazem Ghassan Abdo
author_facet Nitin Liladhar Rane
Saurabh Purushottam Choudhary
Arjun Saha
Aman Srivastava
Chaitanya Baliram Pande
Fahad Alshehri
Ranjan Roy
Okan Mert Katipoğlu
Hazem Ghassan Abdo
author_sort Nitin Liladhar Rane
collection DOAJ
description Choosing appropriate locations for built-up growth while maintaining natural balance has become necessary for sustainable urban planning. To this end, two multi-criteria decision-making (MCDM) approaches—the multi-influencing factor (MIF) and the analytical hierarchy process (AHP)—have been applied in this work. The MIF model results show that 23.546% of the study region was very highly suitable for newly built-up areas, and 18.786% was restricted for urban settlement, whereas, in the AHP model, 28.907% of the area was highly suitable, 17.619% was restricted for urban settlement. Finally, the dependability and efficiency of the two models used for the study area were assessed through the receiver operating curve (ROC) and area under curve (AUC) analysis. The comparative analysis demonstrates that the MIF approach (AUC 0.817) is more suitable and reliable than the AHP (AUC 0.783). The present work provides new insights to integrate GIS tools with MCDM for practical urban land suitability assessment.
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spelling doaj-art-d7522f8f7c67449facc7dbe26b993ae72025-08-20T01:59:21ZengTaylor & Francis GroupGeocarto International1010-60491752-07622024-01-0139110.1080/10106049.2024.2335249Delineation of environmentally sustainable urban settlement using GIS-based MIF and AHP techniquesNitin Liladhar Rane0Saurabh Purushottam Choudhary1Arjun Saha2Aman Srivastava3Chaitanya Baliram Pande4Fahad Alshehri5Ranjan Roy6Okan Mert Katipoğlu7Hazem Ghassan Abdo8Architecture, Vivekanand Education Society’s College of Architecture (VESCOA), Mumbai, IndiaArchitecture, Vivekanand Education Society’s College of Architecture (VESCOA), Mumbai, IndiaDepartment of Geography & Applied Geography, North Bengal University, Siliguri, IndiaDepartment of Civil Engineering, Indian Institute of Technology (IIT) Kharagpur, Kharagpur, West Bengal, IndiaNew Era and Development in Civil Engineering Research Group, Scientific Research Center, Al-Ayen University, Thi-Qar, Nasiriyah, IraqAbdullah Alrushaid Chair for Earth Science Remote Sensing Research, Geology and Geophysics Department, King Saud University, Riyadh, Saudi ArabiaDepartment of Geography & Applied Geography, North Bengal University, Siliguri, IndiaDepartment of Civil Engineering, Faculty of Engineering and Architecture, Erzincan Binali Yıldırım University, Erzincan, TürkiyeGeography Department, Faculty of Arts and Humanities, Tartous University, Tartous, SyriaChoosing appropriate locations for built-up growth while maintaining natural balance has become necessary for sustainable urban planning. To this end, two multi-criteria decision-making (MCDM) approaches—the multi-influencing factor (MIF) and the analytical hierarchy process (AHP)—have been applied in this work. The MIF model results show that 23.546% of the study region was very highly suitable for newly built-up areas, and 18.786% was restricted for urban settlement, whereas, in the AHP model, 28.907% of the area was highly suitable, 17.619% was restricted for urban settlement. Finally, the dependability and efficiency of the two models used for the study area were assessed through the receiver operating curve (ROC) and area under curve (AUC) analysis. The comparative analysis demonstrates that the MIF approach (AUC 0.817) is more suitable and reliable than the AHP (AUC 0.783). The present work provides new insights to integrate GIS tools with MCDM for practical urban land suitability assessment.https://www.tandfonline.com/doi/10.1080/10106049.2024.2335249Urban settlementland suitabilityenvironmental sustainabilityGISmulti influencing factor (MIF)analytical hierarchy process (AHP)
spellingShingle Nitin Liladhar Rane
Saurabh Purushottam Choudhary
Arjun Saha
Aman Srivastava
Chaitanya Baliram Pande
Fahad Alshehri
Ranjan Roy
Okan Mert Katipoğlu
Hazem Ghassan Abdo
Delineation of environmentally sustainable urban settlement using GIS-based MIF and AHP techniques
Geocarto International
Urban settlement
land suitability
environmental sustainability
GIS
multi influencing factor (MIF)
analytical hierarchy process (AHP)
title Delineation of environmentally sustainable urban settlement using GIS-based MIF and AHP techniques
title_full Delineation of environmentally sustainable urban settlement using GIS-based MIF and AHP techniques
title_fullStr Delineation of environmentally sustainable urban settlement using GIS-based MIF and AHP techniques
title_full_unstemmed Delineation of environmentally sustainable urban settlement using GIS-based MIF and AHP techniques
title_short Delineation of environmentally sustainable urban settlement using GIS-based MIF and AHP techniques
title_sort delineation of environmentally sustainable urban settlement using gis based mif and ahp techniques
topic Urban settlement
land suitability
environmental sustainability
GIS
multi influencing factor (MIF)
analytical hierarchy process (AHP)
url https://www.tandfonline.com/doi/10.1080/10106049.2024.2335249
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