Vers une politique intelligente des déchets: l'apport de l'IA et de l'IoT via la "Tournée Verte"

Abdelkarim Jiar, Serghini Meryem, Juiher El Mahdi and Ouaddi Hmad
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Abdelkarim Jiar: Université Ibn Zohr = Ibn Zohr University [Agadir]
Serghini Meryem: Université Ibn Zohr = Ibn Zohr University [Agadir]
Juiher El Mahdi: Université Ibn Zohr = Ibn Zohr University [Agadir]
Ouaddi Hmad: Université Ibn Zohr = Ibn Zohr University [Agadir]

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Abstract: As urban populations continue to grow and environmental demands intensify, cities are increasingly turning to data-driven approaches to modernize waste management. This study explores how artificial intelligence (AI) and the Internet of Things (IoT), particularly through the analysis of consumer behaviors and logistical flows, can contribute to the development of smarter and more responsive waste management policies. The research is based on a sample of four municipal waste management directors in the Moroccan cities of Agadir, Casablanca, Marrakech, and Fes. Using semi-structured interviews, data were analyzed with Python tools for word cloud generation and sentiment analysis. The findings reveal a fragmented adoption of smart technologies, hindered by insufficient training, limited infrastructure, and a lack of alignment between political ambitions and technological capabilities. Despite these challenges, the interviewed officials express cautious optimism about the potential of AI and IoT. The study recommends integrated strategies that combine digital infrastructure, institutional capacity-building, and local citizen engagement.

Keywords: Intelligent waste management artificial intelligence Internet of Things urban policy Morocco; Intelligent waste management; artificial intelligence; Internet of Things; urban policy; Morocco (search for similar items in EconPapers)
Date: 2025-06-17
New Economics Papers: this item is included in nep-ara
Note: View the original document on HAL open archive server: https://hal.science/hal-05117660v1
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Published in African Scientific Journal, 2025, 03 (30 Juin 2025), pp.543. ⟨10.5281/zenodo.15682993⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05117660

DOI: 10.5281/zenodo.15682993

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