2011
DOI: 10.7763/ijesd.2011.v2.171
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GIS-based Multi-criteria Decision Analysis of Land Suitability for Hillside Development

Abstract: Urban development is the continuous process towards hillsides which has been a challenging issue for developing Asian countries such as Malaysia due to limited flat land. Therefore, it is very crucial that their location should be carefully chosen. The objective of this study is to develop Geographic Information System (GIS)-based land suitability analysis model considering accessibility for locating optimal sites to the hillside development against environmental threats and economic pull factor. In order to d… Show more

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Cited by 16 publications
(11 citation statements)
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“…MCE is a common method for assessing and aggregating many criteria [34,[37][38][39]. In order to form a single index of evaluation and to provide necessary information for decision makers, MCE basically consists of combining information from several criteria.…”
Section: Introductionmentioning
confidence: 99%
“…MCE is a common method for assessing and aggregating many criteria [34,[37][38][39]. In order to form a single index of evaluation and to provide necessary information for decision makers, MCE basically consists of combining information from several criteria.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, their preferences are subjective, and their choices are affected by the sufficiency of the information. Additionally, in a decision-making process, Campos et al (2007) described the term "subjective uncertainty" from scientific ignorance, uncertainty in measurement, the FIGURE 2 | Structured problem with three different hierarchy levels (Chandio and Matori, 2011). (Ghodsipour, 2003;Rezaei and Tahsili, 2018).…”
Section: Methodsmentioning
confidence: 99%
“…Nyeko (2012) objectively used GIS in spatial decision-making, including planning for land use, thereby providing a powerful platform for the organization of map layers (raster logic) and performing logical and mathematical analyses during land suitability analysis. The GIS-based MCE approach extended to focusing on finding optimal sites for hillside development (Chandio and Matori, 2011), land suitability assessment for wind farm development (Latinopoulos and Kechagia, 2015), land suitability assessment for potential rubber expansion (Nguyen et al, 2015), coastal management and planning (Bagheri et al, 2012), and for urban land expansion and development (Yang et al, 2008;Cerreta and De Toro, 2012;Raddad, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…Five criteria were defined related to the biophysical aspect of the landscape and to the great contribution for the passive restoration of degraded or in process of degradation areas. The criteria were weighted taking into account extensive revisions of works produced in the area (Amiri et al, 2013;Chandio & Matori, 2011;Geneletti & Duren, 2008;Valente et al, 2017;Vettorazzi & Valente, 2016), including extensive knowledge of the authors about the basin of the Arauaí river (Mateo, 1984;Perim & Cocco, 2016). The subject of each test was normalized on a scale from 1.0 to 3.0.…”
Section: Definition and Weighting Of Criteriamentioning
confidence: 99%