Multi-criteria sustainability assessment of solid waste management in Jordan.

This study comprehensively evaluates Jordan's municipal solid waste (MSW) management sector from 2022 to 2030, in alignment with Jordan Vision 2030. This study introduces new sustainability indicators and innovative waste management alternatives to address the challenges of rapid industrialization and population growth. Four strategic scenarios-1) recycling, composting, and sanitary landfilling; 2) recycling, anaerobic digestion, and sanitary landfilling; 3) incineration and sanitary landfilling; and 4) sanitary landfilling alone-were assessed against the business-as-usual scenario. Using multi-criteria decision analysis (MCDA) and sensitivity analysis, this study evaluates net greenhouse gas emissions, annual operating expenses, revenue streams, and employment rates to measure environmental, economic, and social sustainability. The results indicate that Scenario 1 is the optimal scenario for integrating a material recovery facility (MRF) with a composting plant and sanitary landfill, achieving the lowest greenhouse gas emissions, annual costs, and employment opportunities. This study offers practical and sustainable solutions to Jordan's waste management challenges, provides novel insights through the developed MCDA and sensitivity analysis, and significantly contributes to sustainability research.

Overview of waste bank application in Indonesian regencies.

Managing municipal solid waste (MSW) is a critical for Indonesia, as the country produces a substantial amount of waste annually. However, Indonesia's recycling rate remains limited, less than 25% of its waste, with the rest ending up in landfills. To address this, waste banks have emerged as a community-based solution to enhance MSW management through recycling. Although waste banks currently contribute only 7% to recyclable waste management, they hold promising potential, especially considering their close ties to households, the primary waste producers in Indonesia. Unfortunately, documentation of waste bank successes in Indonesian regencies is scarce, as most success stories are limited to major cities. This article conducts a literature review on waste bank implementations across various regencies, evaluating their accomplishments, obstacles and potential contributions to local MSW management. The review draws upon scholarly publications and various government reports, regulations and websites dedicated to updates on waste bank activities. Waste banks play a crucial role in enhancing environmental quality by promoting proper waste disposal and reducing landfill waste. They create economic opportunities, increasing income for both customers and administrators. Additional services, such as banking facilities encompassing savings, loans, daily necessities and bill payments, amplify their significance. To fully harness the potential of waste banks, support is imperative. Establishing adequate infrastructure and providing capacity-building for administrators are essential. Although regulatory frameworks offer opportunities, the impact of regency-level regulations on waste bank growth varies and necessitates further examination. Support mechanisms should be tailored to align with local characteristics and requirements.

Unlocking the significant worldwide potential of better waste and resource management for climate mitigation: with particular focus on the Global South.

Numbers do matter; the Intergovernmental Panel on Climate Change (IPCC)'s 2010 data that the waste sector is responsible for just 3% of global greenhouse gas (GHG) emissions has led to the misperception that solid waste management (SWM) has little to contribute to climate mitigation. Global efforts to control methane emissions and divert organic waste from landfills had already reduced direct emissions. But end-of-pipe SWM has also been evolving into more circular waste and resource management, with indirect GHG savings from the 3Rs (reduce, reuse, recycle) which IPCC accounts for elsewhere in the economy. The evidence compiled here on both direct emissions and indirect savings demonstrates with high confidence that better waste and resource management can make a significant contribution to climate mitigation, and must form a core part of every country's nationally determined contribution. Even the most advanced countries can still achieve much from the 3Rs. In the Global South, the challenge of extending waste collection to all and stopping open dumping and burning (sustainable development goal 11.6.1), essential to improve public health, can be turned into a huge opportunity. Moving early to divert waste from landfill by separation at source and collecting clean organic and dry recycling fractions, will mitigate global GHG emissions, slash ocean plastics and create decent livelihoods. But this can only happen with targeted climate, plastics and extended producer responsibility finance; and help to local communities to help themselves.

How publications and patents are contributing to the development of municipal solid waste management: Viewing the UN Sustainable Development Goals as ground zero.

Academia and industry have strengthened each other under the guidelines of regulatory institutions to contribute theoretical knowledge and practical solutions for society, which can be presented in a combination of publishing research and filing patents. In the case of municipal solid waste management (MSWM), a great transformation from a linear to a circular view has been in process. In this study, we investigated the role of the United Nations Sustainable Development Goals (SDGs) in MSWM-related development and transformation. The authors examined the contributions of academic and industrial spheres to MSWM in the past 70 years by examining Web of Science's Core Collection and Derwent Innovations Index. The results showed that SDGs not only accelerated the research on MSWM but also pulled MSWM-related knowledge and innovation to new fronts that focus on sustainable and circular methods. Based on the current findings, we derived implications for academia, industry, and policymakers.

A hybrid machine learning-mathematical programming optimization approach for municipal solid waste management during the pandemic.

This paper provides a mathematical optimization strategy for optimal municipal solid waste management in the context of the COVID-19 epidemic. This strategy integrates two approaches: optimization and machine learning models. First, the optimization model determines the optimal supply chain for the municipal waste management system. Then, machine learning prediction models estimate the required parameters over time, which helps generate future projections for the proposed strategy. The optimization model was coded in the General Algebraic Modeling System, while the prediction model was coded in the Python programming environment. A case study of New York City was addressed to evaluate the proposed strategy, which includes extensive socioeconomic data sets to train the machine learning model. We found the predicted waste collection over time based on the socioeconomic data. The results show trade-offs between the economic (profit) and environmental (waste sent to landfill) objectives for future scenarios, which can be helpful for possible pandemic scenarios in the following years. Supplementary Information: The online version contains supplementary material available at 10.1007/s10668-023-03354-2.

Municipal solid waste management with recyclable potential in developing countries: Current scenario and future perspectives.

Municipal solid waste (MSW) is a complex challenge to be solved worldwide, intensified in developing countries since in addition to economic and environmental aspects there is also the social aspect represented by the collector individual. From an integrative bibliographic review this study longitudinally analyses the socio-productive inclusion of collectors in the municipal solid waste management (MSWM) at an international level. Aiming: (a) to identify relevant articles describing/studies on MSWM with social inclusion of scavengers around the world; (b) to analyse these articles in order to present its main characteristics; (c) to describe municipal solid waste management with recyclable potential (MSWRP) with socio-productive inclusion of collectors; (d) the study provides a more detailed summary of MSWRP management in some developing countries: Brazil, China, India, Indonesia, Mexico, Nigeria and Pakistan; and (e) to provide a framework indicating the future practices and perspectives of MSWRP. As result, this study presents the paradigms and future questions for an effective improvement of WSWM, such as: Professional Training of Scavengers, Cultural Issues, Empowerment of Scavenger, Recycling Cooperatives and Cooperativism, Policy Issues and Recycling Chain, Management Systems and Process Improvement, Quality of Services Provided, Circular Economy and Informal Sector, Health Quality and Safety at Work, Barriers and Solutions for the Inclusion of the Informal Sector, Environmental, Economic and Social Benefits.

Analysis of input set characteristics and variances on k-fold cross validation for a Recurrent Neural Network model on waste disposal rate estimation.

The use of machine learning techniques in waste management studies is increasingly popular. Recent literature suggests k-fold cross validation may reduce input dataset partition uncertainties and minimize overfitting issues. The objectives are to quantify the benefits of k-fold cross validation for municipal waste disposal prediction and to identify the relationship of testing dataset variance on predictive neural network model performance. It is hypothesized that the dataset characteristics and variances may dictate the necessity of k-fold cross validation on neural network waste model construction. Seven RNN-LSTM predictive models were developed using historical landfill waste records and climatic and socio-economic data. The performance of all trials was acceptable in the training and validation stages, with MAPE all less than 10%. In this study, the 7-fold cross validation reduced the bias in selection of testing sets as it helps to reduce MAPE by up to 44.57%, MSE by up to 54.15%, and increased R value by up to 8.33%. Correlation analysis suggests that fewer outliers and less variance of the testing dataset correlated well with lower modeling error. The length of the continuous high waste season and length of total high waste period appear not important to the model performance. The result suggests that k-fold cross validation should be applied to testing datasets with higher variances. The use of MSE as an evaluation index is recommended.

Optimal waste management during the COVID-19 pandemic.

There have been many problems generated by the COVID-19 pandemic. One of them is the worrying increase in the generation of medical waste due to the great risk they represent for health. Therefore, this work proposes a mathematical model for optimal solid waste management, proposing a circular value chain where all types of waste are treated in an intensified industrial park. The model selects the processing technologies and their production capacity. The problem was formulated as a mixed-integer linear programming problem to maximize profits and the waste processed, minimizing environmental impact. The proposed strategy is applied to the case study of the city of New York, where the increase in the generation of medical waste has been very significant. To promote recycling, different tax rates are proposed, depending on the amount of waste sent to the landfill. The results are presented on a Pareto curve showing the trade-off between profits and processed waste. We observed that the taxes promote recycling, even of those wastes that are not very convenient to recycle (from an economic point of view), favoring profits, reducing the environmental impact, and the risk to health inherent to the medical waste.

Application of machine learning algorithms in municipal solid waste management: A mini review.

Population growth and the acceleration of urbanization have led to a sharp increase in municipal solid waste production, and researchers have sought to use advanced technology to solve this problem. Machine learning (ML) algorithms are good at modeling complex nonlinear processes and have been gradually adopted to promote municipal solid waste management (MSWM) and help the sustainable development of the environment in the past few years. In this study, more than 200 publications published over the last two decades (2000-2020) were reviewed and analyzed. This paper summarizes the application of ML algorithms in the whole process of MSWM, from waste generation to collection and transportation, to final disposal. Through this comprehensive review, the gaps and future directions of ML application in MSWM are discussed, providing theoretical and practical guidance for follow-up related research.

Source separation in municipal solid waste management: Practical means to its success in Asian cities.

Source separation plays a pivotal role in sustainable and integrated Municipal Solid Waste Management (MSWM) and in achieving a circular economy in Asia. However, it is still not an official practice, and many cities continue to utilise open dumping, involving receiving mixed waste without pre-treatment. This paper, therefore, examines the advantages of source separation of MSW and explores the main factors for success in the planning and implementation of official source separation programmes in cities in Asia. Analysis of the results for two case studies in India and Japan could be used to strengthen capacities of policymakers in designing and implementing official source separation systems to facilitate material recovery and achieve sustainable development in Asia.

Interrelationships among critical success factors for the planning of municipal solid waste management PPP projects in India using structural equation modelling.

This research aims at investigating the interrelationships between critical success factors (CSFs) in municipal solid waste management (MSWM) projects taken up in public-private partnership (PPP) mode in India and studies the extent to which they can affect project success. A three-step procedure was followed to identify the CSFs in MSWM. A conceptual structural equation model (SEM) was developed using cluster groupings of the identified CSFs to show their interrelationships. Data collection from the public sector and private sector waste management managers was done through a questionnaire survey. The respondents' data were analysed in analysis of moment structures (AMOS) using structural equation modelling. The SEM analysis of the respondents' data gives the most exemplary fitting measurement model with the 17 CSFs taken as components of five latent variables: external environment, financial characteristics, project planning and procurement, project operation and management and project stakeholders. The model shows the relationships between the constructs of CSFs for project success. This study contributes to current ideas by empirically identifying the interrelationships between the MSWM CSFs, which can help waste management professionals handle the CSFs rationally. Furthermore, the study shows that all the groups have a direct and positive impact on project success. The findings may only portray the opinion of solid waste management managers in India.

Municipal solid waste management in refugee hosting communities: Analysis of a case study in northern Jordan.

The Syrian civil war, which broke out in 2011, caused the displacement of more than one million refugees to Jordan. Most of them settled in the Northern Govenorates of Jordan. Due to this, the local services and infrastructures of the hosting communities, in particular the solid waste management (SWM), were put under great pressure. The aim of this study is to evaluate how the off-camp refugees impacted the SWM in the Greater Irbid Municipality (GIM; in the Irbid Governorate), both quantitatively and qualitatively. Data and results obtained from the studies carried out before the Syrian crisis are compared with data collected by the authors in 2016 using similar or comparable methodologies. Moreover, local citizen perceptions of and satisfaction with the solid waste (SW) service level were assessed. A deterioration of the SWM in GIM between 2011 and 2016 was observed in terms of service performance indicators (e.g., an increase of SW collection and transportation costs by 2.5 times and of fines for improper SW disposal by 2.2 times) and of citizens' views (a decline in SWM quality was felt by 59% of the respondents). An attempt to cope with this situation has been made in recent years with international donors mobilizing efforts and resources to enable municipalities to meet the growing demand in basic SW services. There is however, still much to be done.

Implementation effect of municipal solid waste mandatory sorting policy in Shanghai.

In Shanghai, the biggest metropolis in China, the source classification of domestic waste began in the 1990s but achieved little success over the past thirty years. Surprisingly, the compulsory classification provision of Shanghai residents' domestic waste since 2019 has been successful. In this work, the overall status, and challenges of municipal solid waste (MSW) management in Shanghai under compulsory waste sorting rules are investigated. We tracked the classification efficiency of municipal solid waste, physicochemical characteristics of separated waste, and the carbon emissions arising from waste disposal system. It was found that almost 83.62 % of household food waste has been effectively separated with high purity of 99.50 %, while the lower heating value (LHV) of residual waste was increased by 96.4 % compared to previous years. With effective waste classification, the net carbon emission of separated processing was reduced to 0.11 ton CE/ton waste. However, this system generated some negative outcomes as well such as the lower recovery value of metal in bottom ash and the higher chloride content in fly ash. Moreover, we have documented and discussed several challenges of sustainable waste management system in Shanghai in the text. In order to overcome those challenges, we recommend to: (i) establish a finer source separation and recycling system; (ii) develop highly-efficient resource recovery technologies of byproducts from waste disposal system; and (iii) propose optimization adjustment strategy for overcapacity in incineration facilities.

Assessment of urban solid waste management systems for Industry 4.0 technology interventions and the circular economy.

The ongoing fourth industrial revolution, Industry 4.0 (I4.0), is transforming various industries across the globe. At the same time, resource scarcity with high consumption rates has led to the development of the circular economy. Both concepts advocate for sustainable growth and waste minimization. In developing countries, the integrated solid waste management framework is undergoing modification under I4.0 and the circular economy. Urban local bodies are often unable to measure the readiness of their waste management systems to transform under I4.0 and the circular economy. Here the novel concept of Waste 4.0 is developed. 'Waste 4.0' is a readiness assessment tool to promote the comprehensive transformation of municipal solid waste management under I4.0 and circular economy. This tool has eight determinants for assessing the municipal solid waste management of urban local bodies. To validate Waste 4.0 the urban local bodies of Indore and Sagar, India were used as case studies. The readiness index for I4.0 in the municipal solid waste management system in Indore and Sagar was 0.72 and 0.14, respectively. The readiness index for circular economy focus in Indore and Sagar was 0.65 and 0.13, respectively. The Indore urban local body was classified as an 'Experienced' player for I4.0 Intervention and a 'circular economy fast adopter' for circular economy focus under I4.0 readiness. The Sagar urban local body was classified as a 'Hesitator' player for I4.0 Intervention and achieved the 'Business as usual' tag for circular economy focus under I4.0 readiness. With the Waste 4.0 assessment results urban local bodies can better plan and thus transform their municipal solid waste management systems under I4.0 and the circular economy.

Application of life cycle assessment for municipal solid waste management options in Hohhot, People's Republic of China.

With increasing population and urbanization levels in the People's Republic of China, environmental problems related to the management of municipal solid waste (MSW) are inevitable. This study aimed to determine the environmental impact of the current MSW management system in Hohhot City and to establish an optimum future strategy for it by applying life cycle assessment (LCA) methodology. Four scenarios were compared using the CML-IA impact characterization method, which took into account their potential contribution to global warming, ozone depletion, human toxicity, photochemical ozone creation, acidification, and eutrophication potentials. The system boundaries included the collection and recycling, transfer and transportation of MSW, and its disposal by incineration, landfilling, and carbon dioxide (CO2) capture methods. The results showed that the scenario involving landfill and incineration in a ratio of 1:5 was the optimal waste management option; however, increasing the proportion of waste incinerated led to a significant increase in global warming potential. Additional technologies are thus required to overcome this problem, and it was found that the use of CO2 capture technology resulted in a 30% reduction in the total environmental impact potential. This study's results indicate that LCA is a valuable and practical tool to support decision-making that can be used to suggest problematic areas in current waste management strategies and to determine an optimal alternative to the solid waste management option.

The nine development bands: A conceptual framework and global theory for waste and development.

Solid waste management (SWM) is an essential utility service. More than two to three billion people worldwide still lack basic services, whereas some countries are already moving beyond SWM towards waste and resource management (WaRM) and a circular economy. This paper sets out a novel conceptual framework and global theory of waste and development, providing a road map, allowing a country or city to locate their current position and plot their way ahead. We identify nine development bands (9DBs) with significant commonalities in terms of critical challenges and developmental pressure points. DB1-DB4 reflect stepwise improvement towards the new baseline of meeting the SDG 11.6.1 indicators of universal collection and management in controlled facilities (DB5). Countries can then choose to move towards environmentally sound management and the 'reduce, reuse, recycle' (3Rs) (DB6-9), with an ultimate aspiration of 'zero waste'. We test the 9DBs conceptual framework against historical journeys of higher income countries. The main application will be in low- and middle-income countries striving towards SDG 11.6.1, where it fills a key gap in the practitioners' toolkit by enabling initial framing/scoping of the problem and smarter interventions to be designed and sense checked. Key insights include targeted governance/institutional reforms, appropriate and affordable systems/technology and adapting solutions to a diversity of local needs and realities.

An integrated approach to the selection of municipal solid waste landfills through GIS, K-Means and multi-criteria decision analysis.

Selecting the proper site for disposing of solid waste is one of the serious environmental and public health concerns in metropolises. This multifaceted issue encompasses environmental, economic, social, geographical, technical, and legal criteria. Some of these criteria, however, are less influenced by experts' subjective judgments because they display scientific specifications. This study drew on a novel, integrated method for the selection of municipal solid waste (MSW) landfills in the Iranian metropolis, Shiraz; the study relied on the GIS and multi-criteria decision-making methods, which helped to reduce the number of comparisons in collecting experts' opinions, simplified the selection process, and enhanced the assessment method. The method proposed was regulated by DEMATEL and ANP. Primarily 13 criteria were identified in five groups through the Delphi method. Next, using the integrated method, the weight of each criterion was determined and was assigned to the corresponding layer in ArcGIS 10.5. By combining these layers through a fuzzy logic, the sites satisfying the disposal conditions were identified. The sites were then divided into six areas through the k-means clustering algorithm, while MOORA, WASPAS and COPRAS methods were used to discover the best sites based on their priorities. Finally, to confirm the reliability of the results, compare and verify them, and conduct sensitivity analysis on them, 13 scenarios were used.

A multi-criteria decision support framework for municipal solid waste landfill siting: a case study of New South Wales (Australia).

Sanitary waste disposal and site selection for establishing landfills are challenging problems for environmental planners. This paper aims to take environmental, socio-economic, geological, geomorphological, hydrological and ecological factors into consideration to provide a decision support framework for landfill siting. Analytical hierarchy process (AHP) and Decision Making Trial and Evaluation Laboratory (DEMATEL) are coupled to develop an efficient multi-criteria decision-making method to be utilized in a Geographic Information System (GIS) environment for evaluating the suitability for landfill siting. As the first attempt to employ DEMATEL effectively in a landfill site selection problem, the proposed method is tested with landfill siting scenarios in New South Wales (NSW), Australia. Regional analysis is also performed to identify the potentially most suitable statistical divisions for landfill siting in NSW. The top two ranked zones covering 0.7% and 22% of the study area, respectively, are considered as the optimal areas for establishing landfills, while the bottom two ranked zones are not recommended for further consideration. Further detailed analysis is also conducted on the existing landfills, which shows that 1.0% and 37.0% of them are ranks 1 and 2, respectively. The scenario-based analysis implies that, among the contributing factors; geological and economic factors are highly important.

A fuzzy optimization approach to the capacitated node-routing problem for municipal solid waste collection with multiple tours: A case study.

In many countries, municipal solid waste management is considered a very important challenge, and the most relevant costs in this field are dedicated to the collection process. Therefore, this study aimed to propose a mathematical model with multiple depots and multiple intermediate facilities to minimize fixed and variable costs of waste collection. Intermediate facilities are used in the developed countries in their waste collection network, because these facilities reduce the long-term costs of waste management and increase the quality of the waste collection process. Also, in reality, the amount of waste generated per day is not deterministic, so, to cope with the issue of uncertainty in the amount of waste, a fuzzy optimization approach was considered. Furthermore, a system where vehicles that could collect the wastes in multiple tours, with a maximum number of tours for each vehicle, was also considered. Due to the high complexity of this model, a genetic algorithm was elaborated. Further, the efficiency of the proposed algorithm was confirmed by comparison with the exact solution in small dimensions. It should be noted that the initial solution of this algorithm was obtained by a proposed heuristic algorithm. Finally, a case study on the vehicle routing of municipal solid waste was conducted in a district of Tehran, Iran. Moreover, the solutions of the model were validated by comparing the results of the proposed model and the current real-life situation. The contractors could improve vehicle routes and reduce costs by implementing the results of the proposed model, without any additional cost.

Decentralization of solid waste management services in rural Lebanon: Barriers and opportunities.

Rapid urbanization, closure of dumps, and insufficient infrastructure funding in Lebanon have resulted in improper municipal solid waste management (MSWM), creating a continuing trash crisis in recent years. In Beirut and Mount Lebanon, MSWM was carried out in centralized waste processing and disposal facilities operated by the government. The trash crisis and failure of the centralized system prompted several municipal authorities to decentralize MSWM by establishing local facilities, paid by the council taxes charged to beneficiary households. To study the feasibility of decentralized MSWM, a survey of 228 households in a rural village in Lebanon explored households' willingness to pay (WTP) for a local MSWM service. For data analysis, a multivariate Tobit model was used to examine the determinants of the WTP amount. Results showed that 79% of surveyed households in the studied village were willing to support local MSWM improvements by contributing an average yearly fee of US$48, representing a 30% increase in their current council taxes. Analysis showed a significant positive association between the WTP amount and the household monthly income level, the residents perceived needs for urgency to act on solid waste management, and the households' responsibility to be involved in MSWM. An interview with the municipality mayor later revealed that financial, technical, and land resources are lacking to enable consideration of a decentralized project for MSWM in the village. Municipalities in rural areas have limited resources and are unable to sustain a decentralized MSWM service unless adjacent towns join effort in supporting and financing MSWM initiatives.