Application of analytical hierarchy process and GIS to analyse management plans for household and similar waste in Marrakech prefecture, Morocco

Edderkaoui, Raounak; Khomsi, Driss; Hamidi, Ahmed; Baiti, Hicham Bennani; Souidi, Hanane; Elhachmi, Driss; Aqil, Mohammed

doi:10.1109/morgeo49228.2020.9121902

Cited by 3 publications

(12 citation statements)

References 21 publications

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“…This research identified 23 features supporting a smart household waste management system. There are three most features applied in the smart waste management system for household waste, namely detecting waste images for sorting [9,36,41,43,44,46,55], put the waste in appropriate containers [16,36,41,43,44,46,50,53], and detecting the density level of waste containers [12,13,42,45,[48][49][50]. This research also identified 31 data that support the features of the smart waste management system for household waste.…”

Section: Discussionmentioning

confidence: 71%

“…The use of a smart system in the recycling process is carried out by building an IoT-based recycling bin prototype that can detect the level of waste density and the decomposition process [12]. Other research has used the Analytical Hierarchy Process (AHP) and GIS methods to make decisions on household waste management [13]. This research resulted in a decision on a waste management model involving a waste recycling process and using energy recovery technology, which can increase energy supply and extend the landfillʹs life.…”

Section: Waste Managemen Process Typementioning

confidence: 99%

“…The availability of analytical data to predict patterns [19] and trends in waste collection in specific periods [42] helps support decision-making regarding price adjustments [18]. Integration with GIS can be helpful in managing waste services by displaying layers containing road segments, traffic signs and embedded buildings [11], displaying GPS coordinate locations [52], providing visualization of spatial parameters to support waste management plans [13], visualizing and analyzing the distribution of waste generation points, potential collection locations [57], storing and managing spatial data related to bin attributes, routes, and schedules, finding optimal routes [17], analyzing spatial data, managing geographic data, and connecting with decision-making support processes, namely AHP [66].…”

Section: Information Technology Dimensionmentioning

confidence: 99%

“…Increasing the living standard and community welfare level without appropriate waste management infrastructure can trigger an increase in household waste [2]. The increase in household waste is also a contribution from unsustainable patterns of production and consumption, which is one of the concerns in Sustainable Development Goals (SDG) 13. A significant increase in household waste without proper management can lead to problems such as environmental damage and endangering human health [3].…”

Section: Introductionmentioning

confidence: 99%

“…The use of a smart system in the recycling process is carried out by building an IoT-based recycling bin prototype that can detect the level of waste density and the decomposition process [12]. Other research has used the Analytical Hierarchy Process (AHP) and GIS methods to make decisions on household waste disposal management [13]. Forecasting to predict waste generation aim to support waste management planning.…”

Section: Introductionmentioning

confidence: 99%

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Framework of Smart and Integrated Household Waste Management System: A Systematic Literature Review Using PRISMA

Wirani,

Eitiveni,

Sucahyo

2024

Preprint

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Household waste is the primary source of environmental pollution due to global population growth compared to other sources of waste. This research aims to develop a smart and integrated household waste management system framework. The resulting framework not only focuses on dimensions of information technology but also links it with other integrated dimensions. This research attempts to conduct a Systematic Literature Review (SLR) using the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) protocol to produce a smart and integrated household waste management framework. The framework's design is carried out by identifying the type of household waste management process based on the Integrated Sustainable Waste Management (ISWM) framework, dimensions that support smart household waste management, and stakeholders involved. The SLR results, namely dimensions and subdimensions that support the framework of a smart and integrated household waste management system, were validated by a resource person from the Indonesian Ministry of Environment and Forestry. The smart and integrated household waste management framework that has been developed in this research contains five main dimensions: Information Technology, Operational Infrastructure, Governance, Economy, and Social-culture. This framework also addresses stakeholder engagement to support smart household waste management systems and identifies waste management processes based on the ISWM framework. This research uses the PRISMA technique to provide a framework for smart and integrated household waste management systems in the initial stage. The proposed framework has been validated and can be further developed as a smart and integrated household waste management system. This research also contributes to the involvement of various dimensions identified to deal with waste problems.

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Section: Discussionmentioning

confidence: 71%

Section: Waste Managemen Process Typementioning

confidence: 99%

Section: Information Technology Dimensionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…The use of a smart system in the recycling process is carried out by building an IoT-based recycling bin prototype that can detect the level of waste density and the decomposition process [12]. Other research has used the Analytical Hierarchy Process (AHP) and GIS methods to make decisions on household waste disposal management [13]. Forecasting to predict waste generation aim to support waste management planning.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Framework of Smart and Integrated Household Waste Management System: A Systematic Literature Review Using PRISMA

Wirani,

Eitiveni,

Sucahyo

2024

Preprint

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Novel approach for the rational management of household and similar waste using AHP, fuzzy TOPSIS, and GIS

Edderkaoui

Khomsi

Hamidi³

et al. 2021

Euro-Mediterr J Environ Integr

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Framework of Smart and Integrated Household Waste Management System: A Systematic Literature Review Using PRISMA

Wirani,

Eitiveni,

Sucahyo

2024

Sustainability

View full text Add to dashboard Cite

Household waste is the primary source of environmental pollution due to global population growth compared to other waste sources. This article aims to develop a framework for a smart and integrated household waste management system through a Systematic Literature Review (SLR) using the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA). The resulting framework not only focuses on information technology dimensions but also links them with other integrated dimensions. The framework’s design identifies the types of household waste management processes based on the Integrated Sustainable Waste Management (ISWM) framework, dimensions that support smart household waste management system, and the stakeholders involved. The SLR results, which include dimensions and subdimensions supporting the smart and integrated household waste management system framework, were validated by experts from the Indonesian Ministry of Environment and Forestry. The developed framework includes five main dimensions: Information Technology, Operational Infrastructure, Governance, Economy, and Social–Culture. It also addresses stakeholder engagement to support smart household waste management systems and identifies waste management processes based on the ISWM framework. This research uses the PRISMA technique to provide an initial framework for smart and integrated household waste management system. The proposed framework has been validated and can be further developed as a smart and integrated household waste management system. Additionally, it highlights the involvement of various dimensions identified to address waste problems.

show abstract

Application of analytical hierarchy process and GIS to analyse management plans for household and similar waste in Marrakech prefecture, Morocco

Cited by 3 publications

References 21 publications

Framework of Smart and Integrated Household Waste Management System: A Systematic Literature Review Using PRISMA

Framework of Smart and Integrated Household Waste Management System: A Systematic Literature Review Using PRISMA

Novel approach for the rational management of household and similar waste using AHP, fuzzy TOPSIS, and GIS

Framework of Smart and Integrated Household Waste Management System: A Systematic Literature Review Using PRISMA

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