Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/30431
DC FieldValueLanguage
dc.contributor.authorDemetriou, Demetris-
dc.contributor.authorStillwell, John-
dc.contributor.authorSee, Linda-
dc.date.accessioned2023-09-18T09:24:18Z-
dc.date.available2023-09-18T09:24:18Z-
dc.date.issued2013-05-01-
dc.identifier.citationComputers, Environment and Urban Systems, 2013, vol. 39, pp. 71 - 80en_US
dc.identifier.issn01989715-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/30431-
dc.description.abstractThe presence of land fragmentation can indicate that an existing land tenure structure is problematic. It can be a major problem in many regions because it restricts rational agricultural development and reduces the opportunities for sustainable rural development although in some cases, it can prove beneficial and desirable for social and environmental reasons. Whilst policies to counter land fragmentation require reliable measurement of the situation, current fragmentation indices have significant weaknesses. In particular, they ignore critical spatial variables such as the shape of parcels as well as non-spatial variables such as ownership type and the existence or absence of road access for each land parcel. Furthermore, there is no flexibility for users to select the variables that they think appropriate for inclusion in the fragmentation index, and no variable weighting mechanism is available. The aim of this paper is to introduce a new 'global land fragmentation index' that combines a multi-attribute decision-making method with a geographic information system. When applied to a case study area in Cyprus, the new index outperforms the existing indices in terms of reliability as it is comprehensive, flexible, problem specific and knowledge-based. The methodology can be easily applied to assess the quality of any existing system for which evaluation criteria can be defined with values ranging from the worst to best conditions. © 2013 Elsevier Ltd.en_US
dc.language.isoenen_US
dc.relation.ispartofComputers, environment and urban systemsen_US
dc.rights© Elsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectGlobal land fragmentation indexen_US
dc.subjectLand fragmentationen_US
dc.subjectMulti-attribute decision-making methoden_US
dc.subjectValue functionsen_US
dc.titleA new methodology for measuring land fragmentationen_US
dc.typeArticleen_US
dc.collaborationUniversity of Leedsen_US
dc.collaborationInternational Institute for Applied Systems Analysis (IIASA)en_US
dc.subject.categoryCivil Engineeringen_US
dc.journalsSubscriptionen_US
dc.countryUnited Kingdomen_US
dc.countryAustriaen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1016/j.compenvurbsys.2013.02.001en_US
dc.identifier.scopus2-s2.0-84875787450-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84875787450-
dc.relation.volume39en_US
cut.common.academicyear2012-2013en_US
dc.identifier.spage71en_US
dc.identifier.epage80en_US
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypearticle-
item.cerifentitytypePublications-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-6121-5932-
crisitem.author.parentorgFaculty of Engineering and Technology-
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