The operational municipal solid waste management policy focuses on identifying waste generation behavior across multiple levels in mega cities, a case study
Alimoradiyan, Hamed (Universitat Autònoma de Barcelona. Institut de Ciència i Tecnologia Ambientals)
Hajinezhad, Ahmad (University of Tehran. Department of Renewable Energies and Environmental Engineering)
Yousefi, Hossein (University of Tehran. Department of Renewable Energies and Environmental Engineering)
Giampietro, Mario (Universitat Autònoma de Barcelona. Institut de Ciència i Tecnologia Ambientals)

Data:	2025
Resum:	The results of an effort to create a thorough framework that efficiently arranges and combines quantitative data characterizing the performance of Urban Waste Management Systems (UWMS) across a range of scales and dimensions are presented in this study. The theory of metabolic networks and the Multi-Scale Integrated Analysis of Societal and Ecosystem Metabolism (MuSIASEM) serve as the foundation for the developed framework. According to this conceptualization, the UWMS functions as an organ within a socio-ecological system, controlling urban metabolism and providing resources and capacity for regional sinks within the larger waste management system. This study demonstrates how impact indicators other than income, like district size, financial types, and economic activity, can be identified as explanatory variables when employing Python software and the K-means method to analyze MSW generation behavior across multiple organizational levels. The findings reveal significant disparities in waste generation across Tehran, the capital city of Iran. Waste density varied from 25 to 861 kg/ha, with particularly high values in three emerging districts. Developing areas exhibited higher waste production due to increased consumption facilities for different social elements. Moreover, developed regions produce more waste per person, attributed to higher input (consumption) and consequently higher waste generation. Furthermore, a waste estimation analysis was conducted to systematically assess and compute the volume and types of waste generated within specific regions. These insights contribute to optimizing waste management strategies, offering data-driven guidance for policymakers and urban planners to enhance sustainability and efficiency in waste management systems.
Nota:	Unidad de excelencia María de Maeztu CEX2019-000940-M
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Impact indicator ; Municipal waste management ; Tehran city ; Waste metabolic networks ; SDG 7 - Affordable and Clean Energy ; SDG 11 - Sustainable Cities and Communities ; SDG 12 - Responsible Consumption and Production
Publicat a:	Discover Sustainability, Vol. 6 (2025) , art. 750, ISSN 2662-9984

DOI: 10.1007/s43621-025-01685-w

16 p, 2.8 MB

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