Methodology for locating regional landfills using multi-criteria decision analysis techniques
In Latin American and Caribbean countries, many landfills are nearing the end of the life cycle. The expectations of multiple stakeholders (the community, the government, non-governmental entities, among others) generate greater complexity to the problem of locating new sites. Decisions on the locat...
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2020-01-01
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Series: | Cogent Engineering |
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Online Access: | http://dx.doi.org/10.1080/23311916.2020.1776451 |
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author | Pablo César Manyoma-Velásquez Carlos Julio Vidal-Holguín Patricia Torres-Lozada |
author_facet | Pablo César Manyoma-Velásquez Carlos Julio Vidal-Holguín Patricia Torres-Lozada |
author_sort | Pablo César Manyoma-Velásquez |
collection | DOAJ |
description | In Latin American and Caribbean countries, many landfills are nearing the end of the life cycle. The expectations of multiple stakeholders (the community, the government, non-governmental entities, among others) generate greater complexity to the problem of locating new sites. Decisions on the location of these landfills require the consideration of numerous criteria that must be evaluated simultaneously as a whole. The main objective of this research is to propose a methodology to identify the best locations for regional landfills. Through the literature review, seven (7) criteria have been defined that cover the environmental, social and financial needs of this decision type. Within framework of a selected region with 20 municipalities, approximately 1,200,000 inhabitants and an annual generation of 233,000 tons of waste, 5 possible sites were found that were analyzed under two multi-criteria methodologies: analytical hierarchy process (AHP) and the technique to order the preference for similarity with the ideal solution (TOPSIS). Preference for combination of possible sites was one of the main results. This may allow the rulers to design different strategies to make agreements with the communities involved near these new sites. Likewise, through a sensitivity analysis it was possible to verify the importance that the modification of fares (transport and disposal) may have on the result, converting an alternative as the best, without having been it at the beginning. This research is expected to be a planning tool for local governments that allows them to think about the future of their regions. |
first_indexed | 2024-03-12T19:52:51Z |
format | Article |
id | doaj.art-395d1d043ba041348693796d337b0061 |
institution | Directory Open Access Journal |
issn | 2331-1916 |
language | English |
last_indexed | 2024-03-12T19:52:51Z |
publishDate | 2020-01-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Cogent Engineering |
spelling | doaj.art-395d1d043ba041348693796d337b00612023-08-02T03:02:53ZengTaylor & Francis GroupCogent Engineering2331-19162020-01-017110.1080/23311916.2020.17764511776451Methodology for locating regional landfills using multi-criteria decision analysis techniquesPablo César Manyoma-Velásquez0Carlos Julio Vidal-Holguín1Patricia Torres-Lozada2Universidad Del Valle, Logistics and Production, LOGYPRO Research GroupUniversidad Del Valle, Study and Control of Environmental Pollution, ECCA Research GroupUniversidad Del Valle, Study and Control of Environmental Pollution, ECCA Research GroupIn Latin American and Caribbean countries, many landfills are nearing the end of the life cycle. The expectations of multiple stakeholders (the community, the government, non-governmental entities, among others) generate greater complexity to the problem of locating new sites. Decisions on the location of these landfills require the consideration of numerous criteria that must be evaluated simultaneously as a whole. The main objective of this research is to propose a methodology to identify the best locations for regional landfills. Through the literature review, seven (7) criteria have been defined that cover the environmental, social and financial needs of this decision type. Within framework of a selected region with 20 municipalities, approximately 1,200,000 inhabitants and an annual generation of 233,000 tons of waste, 5 possible sites were found that were analyzed under two multi-criteria methodologies: analytical hierarchy process (AHP) and the technique to order the preference for similarity with the ideal solution (TOPSIS). Preference for combination of possible sites was one of the main results. This may allow the rulers to design different strategies to make agreements with the communities involved near these new sites. Likewise, through a sensitivity analysis it was possible to verify the importance that the modification of fares (transport and disposal) may have on the result, converting an alternative as the best, without having been it at the beginning. This research is expected to be a planning tool for local governments that allows them to think about the future of their regions.http://dx.doi.org/10.1080/23311916.2020.1776451locationmulti-criteria decision analysisregional landfillsdeveloping countries |
spellingShingle | Pablo César Manyoma-Velásquez Carlos Julio Vidal-Holguín Patricia Torres-Lozada Methodology for locating regional landfills using multi-criteria decision analysis techniques Cogent Engineering location multi-criteria decision analysis regional landfills developing countries |
title | Methodology for locating regional landfills using multi-criteria decision analysis techniques |
title_full | Methodology for locating regional landfills using multi-criteria decision analysis techniques |
title_fullStr | Methodology for locating regional landfills using multi-criteria decision analysis techniques |
title_full_unstemmed | Methodology for locating regional landfills using multi-criteria decision analysis techniques |
title_short | Methodology for locating regional landfills using multi-criteria decision analysis techniques |
title_sort | methodology for locating regional landfills using multi criteria decision analysis techniques |
topic | location multi-criteria decision analysis regional landfills developing countries |
url | http://dx.doi.org/10.1080/23311916.2020.1776451 |
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