The operational municipal solid waste management policy focuses on identifying waste generation behavior across multiple levels in mega cities, a case study
Abstract 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...
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| Language: | English |
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Springer
2025-08-01
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| Series: | Discover Sustainability |
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| Online Access: | https://doi.org/10.1007/s43621-025-01685-w |
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| author | Hamed Alimoradiyan Ahmad Hajinezhad Hossein Yousefi Mario Giampietro |
| author_facet | Hamed Alimoradiyan Ahmad Hajinezhad Hossein Yousefi Mario Giampietro |
| author_sort | Hamed Alimoradiyan |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-ee2c1d3efc834abc82e51b1a8b26e23a |
| institution | Kabale University |
| issn | 2662-9984 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Sustainability |
| spelling | doaj-art-ee2c1d3efc834abc82e51b1a8b26e23a2025-08-20T03:45:43ZengSpringerDiscover Sustainability2662-99842025-08-016111610.1007/s43621-025-01685-wThe operational municipal solid waste management policy focuses on identifying waste generation behavior across multiple levels in mega cities, a case studyHamed Alimoradiyan0Ahmad Hajinezhad1Hossein Yousefi2Mario Giampietro3Department of Renewable Energies and Environmental Engineering, Faculty of New Sciences & Technologies, University of TehranDepartment of Renewable Energies and Environmental Engineering, Faculty of New Sciences & Technologies, University of TehranDepartment of Renewable Energies and Environmental Engineering, Faculty of New Sciences & Technologies, University of TehranInstitut de Ciència I Tecnologia Ambientals, Universitat Autònoma de BarcelonaAbstract 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.https://doi.org/10.1007/s43621-025-01685-wMunicipal waste managementWaste metabolic networksImpact indicatorTehran city |
| spellingShingle | Hamed Alimoradiyan Ahmad Hajinezhad Hossein Yousefi Mario Giampietro The operational municipal solid waste management policy focuses on identifying waste generation behavior across multiple levels in mega cities, a case study Discover Sustainability Municipal waste management Waste metabolic networks Impact indicator Tehran city |
| title | The operational municipal solid waste management policy focuses on identifying waste generation behavior across multiple levels in mega cities, a case study |
| title_full | The operational municipal solid waste management policy focuses on identifying waste generation behavior across multiple levels in mega cities, a case study |
| title_fullStr | The operational municipal solid waste management policy focuses on identifying waste generation behavior across multiple levels in mega cities, a case study |
| title_full_unstemmed | The operational municipal solid waste management policy focuses on identifying waste generation behavior across multiple levels in mega cities, a case study |
| title_short | The operational municipal solid waste management policy focuses on identifying waste generation behavior across multiple levels in mega cities, a case study |
| title_sort | operational municipal solid waste management policy focuses on identifying waste generation behavior across multiple levels in mega cities a case study |
| topic | Municipal waste management Waste metabolic networks Impact indicator Tehran city |
| url | https://doi.org/10.1007/s43621-025-01685-w |
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