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Identification of sustainable urban settlement sites using interrelationship based multi-influencing factor technique and GIS

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dc.citedby1
dc.contributor.authorLiladhar Rane N.en_US
dc.contributor.authorAchari A.en_US
dc.contributor.authorHashemizadeh A.en_US
dc.contributor.authorPhalak S.en_US
dc.contributor.authorPande C.B.en_US
dc.contributor.authorGiduturi M.en_US
dc.contributor.authorKhan M.Y.A.en_US
dc.contributor.authorTolche A.D.en_US
dc.contributor.authorTamam N.en_US
dc.contributor.authorAbbas M.en_US
dc.contributor.authorYadav K.K.en_US
dc.contributor.authorid58667184000en_US
dc.contributor.authorid58165906700en_US
dc.contributor.authorid57206465884en_US
dc.contributor.authorid58667648800en_US
dc.contributor.authorid57193547008en_US
dc.contributor.authorid58667878700en_US
dc.contributor.authorid56995400700en_US
dc.contributor.authorid57198446685en_US
dc.contributor.authorid57216273552en_US
dc.contributor.authorid57201738440en_US
dc.contributor.authorid57202908705en_US
dc.date.accessioned2024-10-14T03:20:13Z
dc.date.available2024-10-14T03:20:13Z
dc.date.issued2023
dc.description.abstractEvaluation of a site suitability for sustainable urban settlement growth is crucial. A system for evaluating an interaction between the factors must be established to assure that critical site selection interrelationships are not neglected. To solve this problem, the proposed methodology was evaluated to identify a suitable site for sustainable residential development in Nashik, India. The Geographic information system (GIS)-based multi-influence factor (MIF) approach is used in this study to find ideal locations for future urban settlement. The assessment was based on 11 factors including vegetation, elevation, land use, industry, drainage network, slope, water bodies, road, health services, railway station and population density. The sustainable site suitability was delineated by aggregating all considered factors and their associated MIF weights using the interrelationship between the factors. The results showed that 27.26% of research area was not ideal for settlement development, 16.82% was low suitable, 30.65% was moderately suitable, 16.48% was highly suitable and 8.77% was very highly suitable. Most of the suitable sites were located near the existing habitant area, and major roads. The suitability sites were validated using receiver-operating characteristic (ROC), and area under curve (AUC) value of 0.895 indicated that the model was effective. Sensitivity analysis revealed that the distance from road, drainage network, and health services are the dominant for selecting the optimal location of settlement development in research area. The findings of the delineated ideal areas for the intensive urban settlement development will be helpful to planners and policy makers for sustainable urban growth in the near future. � 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo2272670
dc.identifier.doi10.1080/10106049.2023.2272670
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85175064870
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85175064870&doi=10.1080%2f10106049.2023.2272670&partnerID=40&md5=33f10225feaa6baadc513f3678d89c3c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34502
dc.identifier.volume38
dc.publisherTaylor and Francis Ltd.en_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofGold Open Access
dc.sourceScopus
dc.sourcetitleGeocarto International
dc.subjectGIS techniques
dc.subjectmulti-criteria decision-making (MCDM)
dc.subjectmulti-influence factor (MIF)
dc.subjectSite selection
dc.subjectsustainable settlement development
dc.subjectIndia
dc.subjectMaharashtra
dc.subjectNashik
dc.subjectGIS
dc.subjecthuman settlement
dc.subjectmulticriteria analysis
dc.subjectsite selection
dc.subjectsustainability
dc.subjectsustainable development
dc.subjecturban area
dc.titleIdentification of sustainable urban settlement sites using interrelationship based multi-influencing factor technique and GISen_US
dc.typeArticleen_US
dspace.entity.typePublication
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