eprintid: 4605
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/46/05
datestamp: 2023-11-09 16:16:18
lastmod: 2023-11-09 16:16:18
status_changed: 2023-11-09 15:58:50
type: conference_item
metadata_visibility: show
creators_name: Chandio, I.A.
creators_name: Matori, A.N.
creators_name: Yusof, K.
creators_name: Talpur, M.A.H.
creators_name: Aminu, M.
title: GIS-basedland suitability analysis of sustainable hillside development
ispublished: pub
keywords: Analytic hierarchy process; Developing countries; Geographic information systems, Analytic hierarchy process (ahp); Environmental issues; Expert choice; Hillsides; Land suitability; Multi-criteria decision analysis; Suitability analysis; Sustainable, Sensitivity analysis
note: cited By 27; Conference of 4th International Symposium on Infrastructure Engineering in Developing Countries, IEDC 2013 ; Conference Date: 26 December 2013 Through 28 December 2013; Conference Code:115503
abstract: Hillsides have encroached for development because of increasing scarcity of flat land. This would potentially create serious environmental issues such as unstable slope collapse. A GIS-based Multi-criteria Decision Analysis (MCDA) was used for land suitability analysis of hillside development. However, an Analytic Hierarchy Process (AHP) as a MCDA approach was used to weight the suitability criteria. The resulting weights were computed in Expert Choice (EC) software to determine priority weights. The sensitivity analysis was also performed for validating robustness of decision. The outcome of this research would help development ofa sustainable land suitability model for hillside development. © 2014 The Authors. Published by Elsevier Ltd.
date: 2014
publisher: Elsevier Ltd
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84923281159&doi=10.1016%2fj.proeng.2014.07.009&partnerID=40&md5=40225a1e46b308595275f37ba25e6d66
id_number: 10.1016/j.proeng.2014.07.009
full_text_status: none
publication: Procedia Engineering
volume: 77
pagerange: 87-94
refereed: TRUE
issn: 18777058
citation:   Chandio, I.A. and Matori, A.N. and Yusof, K. and Talpur, M.A.H. and Aminu, M.  (2014) GIS-basedland suitability analysis of sustainable hillside development.  In: UNSPECIFIED.