Multi-Criteria Selection of Suitable Institutional Solid Waste Collection Sites: A Case of KNUST Campus, Kumasi, Ghana

Abstract

Solid waste receptacles siting is becoming increasingly difficult due to increase in population and infrastructure development that has limited available space for waste collection. This study focused on selection of environmentally friendly sites for waste receptacle placement in Kwame Nkrumah University of Science and Technology (KNUST) based on multi-criteria decision analysis in a geographic information system (GIS) environment. ArcGIS software was used in overlaying different thematic maps in order to generate suitable areas for siting communal containers and small bins. Environmental criteria considered include river bodies, vegetation, road network, buildings, car park and slope. The analytical hierarchy procedure was used to determine the weight of each criterion used in finding the suitable sites. The final suitability maps generated showed areas deemed suitable for siting communal containers and small bins. Out of the total land area of KNUST (10.35 km 2), 0.86 km 2 representing 8.31% was suitable for siting small bins. For communal containers, the final suitability map indicated that 1.69 km 2 (16.33%) and 0.73 km 2 (7.05%) of the total land area were suitable and most suitable sites respectively. The findings from this study serve as guidance tool for environmentally friendly solid waste receptacle siting and good health promotion with efficient land use planning.

Site Suitability Analysis for Landfill in an Industrial Area in Nigeria

“…Furthermore, the weight of each criterion was determined using analytical hierarchy method of ranking/rating procedure (Malczewski & Rinner, 2005;Sulemana et al, 2020). The rankings were standardised to numerical weights on a scale 0 to 1 with overall summation of 1.…”

“…There are several GIS techniques that have been applied to the problem of locating landfill sites more efficiently. For instance, multi criteria decision analysis (MCDA) has been employed with great successes in some countries (Akbari, 2011;Jayprakash et al, 2015;Motlagh & Sayadi, 2015;El Maguiri et al, 2016;Al-Anbari et al, Terseer & Bibi, 2017;Ajibade et al, 2019;Karimi et al, 2019;Rezaeisabzevar et al, 2020), analytical hierarchical process (AHP) method (Siddiqui et al, 1996;Saaty, 2008;Djokanovic et al, 2016;Randazzo et al 2018;Yakubu & Zhou, 2018;Kamdar et al, 2019;Sener & Sener, 2020;Sulemana et al, 2020;Younes, 2020), and Integration of a median ranked sample set and an analytic network process (MRSS-ANP) methods (Husby et al, 2005;Younes et al, 2015). Furthermore, while Idowu et al (2012) adopted macromedia and Graphical User Interface (GUI) approaches, Demesouka et al (2016) considered measuring attractiveness by a categorical based evaluation technique (MACBETH) technique appropriate for analysing GIS-Based landfill site suitability.…”

Selection of the final solid waste disposal site in the Bolgatanga municipality of Ghana using analytical hierarchy process (AHP) and multi-criteria evaluation (MCE)

“…In Ghana, many similar studies in the application of G.I.S. and Multi-Criteria Evaluation (MCE) and/or selection have been done in towns, cities, and districts such as Obuasi [ 24 ], Wa [ 25 ], Accra [ [26] , [27] , [28] ], Tarkwa [ 29 ], Kumasi/KNUST campus [ 30 , 31 ], Northern Ghana [ 32 ], Sagnarigu District [ 33 ], and Tamale [ 19 , 34 ]. However, this study differed from the above studies because it looked at (1) assessing the suitability of the current dumping site, (2) the selection of a new site using AHP, (3) developing a set of environmental and socio-economic criteria and (4) assigning weight to the criteria to suit the local conditions with a pair-wise ranking.…”