New multi-source waste co-incineration and clustering park operating model for small- and medium-sized city: A case study in China.

With improvements in urban waste management to promote sustainable development, an increasing number of waste types need to be sorted and treated separately. Due to the relatively low amount of waste generated in small- and medium-sized cities, separate treatment facilities for each waste type lack scale, waste is treated at a high cost and low efficiency. Therefore, industrial symbiosis principles are suggested to be used to guide collaborative waste treatment system of multi-source solid wastes, and co-incineration is the most commonly used technology. Most existing studies have focused on co-incineration of one certain waste type (such as sludge or medical waste) with municipal solid waste (MSW), but the systematic design and the comprehensive benefits on a whole city and park level have not been widely studied. Taking the actual operation of a multi-source waste co-incineration park in south-central China as an example, this study conducted a detailed analysis of the waste-energy-water metabolism process of MSW, sludge, food waste, and medical waste co-incineration. The environmental and economic benefits were evaluated and compared with the single decentralized waste treatment mode. The results showed that the multi-source waste co-incineration and clustering park operating model was comprehensively superior to the single treatment mode, greenhouse gases and human toxicity indicators were decreased by 11.87% and 295.74%, respectively, and the internal rate of return of the project was increased by 29.35%. This mainly benefits from the synergy of technical system and the economies of scale. Finally, this research proposed policy suggestions from systematic planning and design, technical route selection, and an innovative management mode in view of the potential challenges.

Solid waste management practices and challenges in Besisahar municipality, Nepal.

This study is a comprehensive assessment of the waste management system in Besisahar municipality. Information and some data have been collected from the municipality of Besisahar, followed by interviews with municipal officials responsible for waste management, stakeholders, waste workers, and residents. A total of 230 households, 20 schools, 10 government and private offices, 10 financial institutions, 60 commercial hotels, restaurants, and shops, and 20 medical shops and healthcare institutions, were selected in this study by random sampling. An extensive field study was conducted within all municipal wards and at dump sites. The results indicated that 42.14% of solid waste was collected through door-to-door collection services, 5.87% was mismanaged in open public places, 11.21% was used as compost manure, and the rest was discarded on riverbanks, dug up, and burned. A large component of the characterization of household waste consisted of organic waste (68.03%), followed by paper/paper products (8.13%), agricultural waste (5.5%), plastic (5.21%), construction (3.81%), textile (2.72%), metals (0.54%), glass (1.01%), rubber (0.10%), electronic (0.05%), pharmaceutical (0.1%) and others (4.78%) in the Besishahar municipality. Solid waste generation was found to be at 197.604 g/capita/day, as revealed by cluster sampling in 230 households. Around 4.285 tons-solid waste/day were generated in urban areas, while 16.13 tons-solid waste/day was estimated for the whole municipality. An important correlation between the parameters of solid waste was found by statistical analysis. Currently, solid waste is dumped on riverbanks, open fields, and springs, creating environmental and health hazards. The findings of this study will be useful to Besisahar municipality and its stakeholders in forming policies that facilitate waste management practices in this region and promote sustainable waste management systems.

Overview of municipal solid waste management in sub-tropical climatic region of North Eastern India.

Municipal solid waste management (MSWM) is perceived as a global issue regardless of the place of waste generation. The amount of unmanaged waste is increasing rapidly, along with its impact on the environment and human health. In hilly areas, specifically the North Eastern Region (NER) states of India, due to the unique topography coupled with socio-economic factors, there are inadequate waste management practices marked by insufficient infrastructure, minimal research studies, and limited data availability. This paper comprehensively reviews the existing status of MSWM practices and waste treatment technologies, identifies the challenges, and discusses the prospective approaches for MSWM in NER states of India. NER, is characterized by its hilly terrain and has the most diverse demographic profile in the country. The study highlights the notable increase in waste generation in the urban population in NER. The total amount of waste generated in NER is about 2907 tons per day, with a collection rate of 86.96%, treatment at 31.09%, and landfilling at 33.67%. The biodegradable fraction makes up the majority of waste composition (more than 50%) in NER, followed by recyclables and inert. The existing MSWM consists of waste collection, transportation, and disposal with limited source segregation and treatment. All the states of NER practice open dumping and burning as the primary waste treatment and disposal system. The study discusses the challenges and prospects to ensure effective MSWM in NER. This review is a region-specific study that considers cultural diversity, topography, and socio-economic dynamics. The outcome of this review will be helpful to the researchers and policymakers in making appropriate waste management plans and improve the MSWM system in NER.

Caste, mistrust and municipal inaction: The interwoven barriers for the integration of waste pickers in India.

Solid waste management in low- and middle-income countries like India faces significant challenges due to the increasing waste generation that surpasses the current capacity. Therefore, the informal waste sector (IWS) is more vital than ever in handling consumer waste alongside municipal solid waste management (SWM) systems. However, the integration of the IWS into formal waste management systems remains unresolved due to adverse social and economic conditions. This study focuses on identifying the root causes that hinder the integration of the IWS in India's waste management system, using the city of Chennai as a case study. Adopting an institutional perspective, we analyse the institutional landscape of the waste management system, considering both formal rules (in policy documents) and informal rules (i.e., social norms and routines). The institutional network analysis reveals a significant misalignment in perceptions among governance levels concerning the integration of the IWS. The study shows a considerable gap between rules-in-form and rules-in-use, leading to 1) Preclusion of waste pickers in collecting door-to-door source-segregated waste (i.e., recyclables). 2) Unfair pricing in transactions with small aggregators. 3) Lack of ID cards for waste pickers. These barriers are ultimately rooted in caste discrimination, misalignment between governance levels, and the exclusion of waste pickers in the policymaking process. In conclusion, understanding and rectifying the institutional gaps and discriminatory practices are essential steps towards effectively integrating the IWS in India's waste management system, promoting a more inclusive and sustainable approach to waste management.

DSYOLO-trash: An attention mechanism-integrated and object tracking algorithm for solid waste detection.

In a global context, the production of urban solid waste significantly varies with changes in living standards. This trend exhibits diversity across different countries and regions, reflecting shifts in lifestyles as well as varying needs and challenges in waste management strategies. However, current standards of waste recycling are too complex for the general public to follow. In this study, we propose a model called DSYOLO-Trash to identify solid waste by integrating the dual attention mechanisms convolutional block attention module (CBAM) and Contextual Transformer Networks(CotNet), which significantly enhance its ability to mine channel-related and spatial attention features while optimizing the learning process. We apply the deep simple online and realtime tracking (DeepSORT) object tracking algorithm to solid waste detection for the first time in the literature to enable the real-time identification and tracking of waste. We also develop a multi-label dataset of mixed solid waste, called MMTrash, to realistically simulate actual scenarios of waste classification. Our proposed DSYOLO-Trash delivered superior performance to classical detection algorithms on both the MMTrash and the TrashNet datasets. Our system combines the improved you only look once(YOLO) algorithm with DeepSORT technology by using industrial cameras and PLC-controlled robotic arms to intelligently sort waste. The work here constitutes an important contribution to intelligent waste management and the sustainable development of cities.

Evaluating the impact of China's MSW sorting pilot policy on urban sustainable development: Empirical evidence from 95 cities.

The escalating challenge of municipal solid waste (MSW) critically tests the sustainable development capacities of urban centers. In response, China initiated pilot policies in 2017 aimed at bolstering MSW management. The effectiveness of these initiatives, however, necessitates empirical scrutiny. This study leverages panel data spanning 95 cities at the prefectural level or higher, covering the period from 2006 to 2020, to assess the impact of the MSW sorting pilot policy on urban sustainable development using a difference-in-differences approach. The research found that the MSW sorting pilot policy has significantly increased the processing volume of MSW, thereby enhancing the sustainable development capabilities of cities. Further, the study identifies augmented fixed asset investments as a key mechanism through which pilot cities have enhanced their MSW management capabilities. Notably, the policy's stimulative effects are more pronounced in less densely populated and economically lagging regions. These findings provide critical insights for developing nations in shaping MSW sorting strategies and advancing urban sustainability.

Does gender affect environmentally virtuous behaviour? Evidence from selective waste collection.

This research analyses the issue, unexplored to date, of the causal relationship between women politicians and selective waste collection. Differing attitudes towards environmental issues between men and women may affect waste management at the municipal level, so an increase in women's political representation can be expected to enhance the effectiveness of selective waste collection. The analysis tests for this in Italy, exploiting a gender quota measure (Law 215/2012) as an exogenous shock to the percentage of female municipal councilors. Difference-in-differences instrumental variable analysis finds that an increase of one standard deviation in the percentage of female councilors increases the percentage of selective waste collection by 2.18 percentage points and the total tonnage of selective waste by 447.86. At the same time it reduces the amount of non-selective waste collection by 491.22 tonnes. The study comprises a number of sensitivity analyses for different model specifications, different definitions of dependent variables, different size of municipalities and different geographical areas.

Empirical analysis of cost-effective and equitable solid waste management systems: Environmental and economic perspectives.

The solid waste management (SWM) system is in a transitional phase in developing economies, and local municipalities and waste management companies are stepping toward integrating a waste treatment approach in the scheme of waste handling. However, there is an urgent need to explore cost-effective techniques, models, and potential revenue streams to sustain the state-run waste sector self-sufficiently. The proposed SWM model aims to support the local waste sector in Islamabad, the capital city of Pakistan, with 100% service area coverage to attain environmental and economic sustainability by defining dedicated waste collection streams to ensure quality material recovery under a cost-effective approach and modality. The innovative approach is applied to allocate the tonnage to various streams as per the city's current land use plan. The estimated/cost of the cleanliness services will be USD13.1 million per annum with an estimated per ton cost of USD 23. The establishment of the proposed material recovery facility (MRF) will process about 500 t/d of waste to produce 45 t/d compost and recover 130 t/d of recyclables. The environmentally friendly model saves 2.4 million tons of CO2‒eq/month from composting and recycling. The average economic potential from MRF and debris-crushing plants, including environmental benefit value, is calculated as USD 3.97 million annually. Recovery of services fee (70%) for various collection streams based on city land use and socio-economic conditions will generate revenue of USD 7.33 million annually. The total revenue will be USD 11.31 million (86% of total annual expenditures) to track the sector's self-sufficiency. To successfully reach the Sustainable Development Goals (SDGs) and Nationally Determined Contributions (NDCs), engaging the private sector from environmentally advanced economies to collaborate in the waste sector to enhance local technical capabilities is recommended.

Insights into the management of food waste in developing countries: with special reference to India.

Up to one third of the food that is purposely grown for human sustenance is wasted and never consumed, with adverse consequences for the environment and socio-economic aspects. In India, managing food waste is a significant environmental concern. Food waste output is increasing in Indian cities and towns as a result of the country's urban expansion, modernization, and population growth. Poor management of food waste can have negative consequences for the environment and pose a risk to the public's health issues. This review focuses on the current challenges, management strategies, and future perspectives of food waste management in India. The efficient management of food waste involves a comprehensive study regarding the characterization of food waste and improved waste management methods. In addition, the government policies and rules for managing food waste that is in effect in India are covered in this review.

Urbanization and solid waste production: prospects and challenges.

The increasing urban population and the restructuring of urban economies are the main aspects that determine urban development in the twenty-first century. Rapid urbanization is among the most significant anthropogenic factors that impact ecosystems and sustainability. Urbanization is a "double-edged sword." Even though it contributes to economic prosperity and social development, at the same time, it poses severe challenges to the natural environment and social system. The scientific community emphasizes the need to investigate the relationship between cities and the environment to comprehend their dynamic interactions related with problems such as climate change, consumption of natural resources, and life quality degradation. Population growth and urbanization are central considerations of the 2030 Agenda of the United Nations Sustainable Development Goals, particularly SDG 11, dealing with making cities inclusive, safe, resilient, and sustainable. Moreover, the new circular economy model is receiving increasing attention globally as a solution to the current production and consumption model, which is based on constant growth and increasing resource input. The objective of this paper was to identify the major challenges occurred due to the rapid urbanization in a coastal city though a qualitative and quantitative waste compositional analysis. The ultimate goal is to propose the waste compositional analysis as a new indicator in the literature for determination of the degree of metabolism in an island region. According to the compositional analysis, the higher the population density in a region, the greater the volume of garbage produced and, consequently, the infrastructure necessary for waste management. Also, the increased seasonal tourist activity leads to an increase in the number of tourist accommodations and services. The results provided may also be applicable in other cities with similar characteristics related with tourism habits and the challenges they may face as a result of the waste production.

Smart technological options in collection and transportation of municipal solid waste in urban areas: A mini review.

The rapid increase in quantities and the mismanagement of municipal solid waste (MSW) in developing countries are increasing the environmental impacts such as air, water and soil contamination. The present scenario of MSW management deals with numerous issues such as lack of technological resources, strategical management, social awareness, public participation, etc. Globally, numerous efforts in the form of new policies, schemes and regulatory acts have been made to develop a systematic collection and transportation (C&T) method using advanced, integrated technologies. However, very few studies have addressed this issue for low- and middle-income countries due to the lack of availability of reliable resources and data sets. This paper addresses the present challenges in C&T methods and highlights the application of information communication technology in monitoring, capturing, data management, planning, live tracking and communication. This systematic mini-review is based on the availability of technical resources, consumer acceptance and cost-effectiveness of different technologies in managing the processes. The study revealed that the C&T methods in most developed countries are designed based on their geographical stretch, climatic factors, waste characteristics and compatible technology, resulting in sustainable MSW management. However, developing countries have followed the same monotonous approach in managing their MSW, which fails in C&T process. The case study provides a valuable resource for researchers and policymakers to frame a better C&T process based on the recent technological interventions, infrastructure development, and social and economic status.

Sustaining environment through municipal solid waste: evidence from European Union economies.

As part of their pursuit to succeed the Sustainable Development Goals (SDGs), European Union (EU) countries have placed great importance on realizing SDG 11, which aims to create sustainable cities and communities. The relationship between environmental quality and municipal solid waste remains understudied despite its significant impact on achieving SDG-11. Consequently, this study seeks to peruse municipal solid waste, renewable energy consumption, human capital, and natural resources impact on load capacity as a comprehensive measure of environmental quality. By utilizing the CS-ARDL approach, this study reveals the inadequacy of municipal solid waste conversion in EU countries and highlights the favorable effect of human capital and renewable energy on enhancing environmental quality. Moreover, this study provides concrete evidence that natural resources contribute to environmental corruption. EU economies should adopt policies to bolster municipal solid waste conversion to improve environmental quality.

A system dynamics model and analytical hierarchy process: an integrated approach for achieving sustainable solid waste management system.

Waste management in low-income countries faces challenges with an average cost of $35/ton approximately 51% collection efficiency. Despite investments in treatment, processing, and recycling, the system remains unsustainable owing to poor planning and policies. The current analysis of Lahore's solid waste management (SWM) system, selected as a major city of a low-income country as a case study, focuses on collection efficiency and waste generation. However, it neglects the complex and dynamic nature of SWM systems. To capture the complexities and dynamic nature of the SWM system, system dynamic (SD) modeling is proposed for its effectiveness in modeling complex and dynamic systems. Unlike previous attempts at SD modeling that mostly consider only some components of the SWM system with varying success, this study attempts to use a holistic approach by considering all aspects of an integrated SWM system. In addition, this study explores different financial and management policies, highlighting the weaknesses of the system through a quantitative comparison of three scenarios: (1) business-as-usual (BAU) which considers the current trends in waste generation and practices of collection and disposal to landfill, (2) waste treatment system (WTS) in which various waste treatment systems are included to reduce burden on landfill, and (3) introduction of user fee with awareness campaigns (UFAC) which encourages community participation towards reduction in waste generation and financially supports the SWM. All three scenarios use four indices: waste generation, waste ending up in landfill, uncollected waste, and annual budget deficit as performance indices. These scenarios were simulated over a 25-year period using an SD model, covering all six components of the SWM system. The BAU scenario shows a 16% increase in waste generation, a 173% increase in landfill waste, an 11% reduction in uncollected waste, and a 64% increase in the budget deficit over the simulation period, indicating an unsustainable SWM system. The WTS scenario exhibits a 16% increase in waste generation, a 155% increase in landfill waste, an 11% reduction in uncollected waste, and a 61% increase in the budget deficit, showing a significant reduction in landfill waste and a slight reduction in deficit but it remains unsustainable. The UFAC scenario, however, results in a 40% reduction in waste generation, a 67% decrease in uncollected waste, an 8% decrease in landfill waste, and a 59% decrease in the budget deficit. These results demonstrate that instituting user fees for SWM services and incentivizing community participation towards waste reduction and segregation can make the SWM system of Lahore sustainable. This SD model provides insights for policymakers, aiding what-if analyses and long/short-term waste management plans for metropolitan cities in low-income countries. To validate the sustainability judgments based on performance indices, the analytical hierarchy process (AHP), a multi-criteria decision analysis (MCDA) tool commonly used for ranking policy decisions based on competing criteria, was employed. It considered the same four criteria as in the SD model. The results of the AHP analysis aligned with those of the SD model, ranking the UFAC scenario as the most sustainable option.

Decision-theoretic rough set model and spatial analysis-based waste-to-energy incineration plant site selection: a case study in first-tier cities of China.

Selecting a sustainable waste-to-energy (WTE) incineration plant site is important for handling huge challenges created by on-going municipal solid waste. However, many studies with WTE incineration plant site problems fail to determine alternative evaluation criteria and cities beforehand, which may increase decision costs and evaluation risks. This paper proposes a novel methodology based on decision-theoretic rough set model and suitable analysis for selecting the optimal WTE incineration plant site. Firstly, from the features of cities, alternative evaluation criteria are determined by three-phase method. Considering different geographical features, a geographical index system is established. Secondly, subjective and objective criteria weights are determined by an improved DEMATEL (Decision Making Trial and Evaluation Laboratory) method and TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method-based linear programming model under the hesitant fuzzy linguistic context, respectively. Subjective and objective criteria weights are combined to form the final criteria weights by building an optimization model. Thirdly, the decision-theoretic rough set model is utilized to select alternative WTE incineration plant sites. We utilize spatial analysis adopting Geographic Information System technology to rank all alternative cities to build facilities. Finally, a numerical case is performed to illustrate the feasibility of the proposed methodology. The sensitivity analysis with the parameter [Formula: see text] ranking from 0 to 1 is performed, the result confirms that the proposed methodology has better robustness. Compared with the multi-criteria decision-making methods, the effectiveness and superiority of the proposed methodology are demonstrated.

The optimal size of territorial units in the outsourcing of waste service: An empirical approach.

This study provides new insights into the relation between the size of the territorial units for which the provision of waste services is entrusted to external operators and their efficiency. The need for a deeper investigation of this relation arises from the fact that on the one hand, the European Union is pushing its Member States towards the adoption of laws aimed at ensuring competition for the market whenever competition in the market is possible; on the other, both the theoretical and the empirical literature cautions policymakers against the risks associated with contracting out. This problem is addressed here through an efficiency analysis of Italian municipalities in the organization of waste services. The stochastic frontier analysis (SFA) is applied to estimate efficiency scores for the municipalities. Then, a regression analysis is carried out to investigate the relation between the efficiency scores and the size of the municipality. This analysis has been carried out using data on a sample of 6,916 Italian municipalities (87.39% of the entire population) for the year 2019. The method adopted here can also support regulatory authorities in defining the size of the territorial units in which other types of local public service should be outsourced.

Effects of socio-economic status and daily variation on municipal solid waste composition: a preliminary analysis for sustainable planning and development in Aligarh City.

In the context of developing countries such as India, with great differences in people's living standards and different communities, municipal solid waste (MSW) management is one of the most promising problems in front of municipal organizations. Unlike every city in India, Aligarh City also faces the same problem of municipal solid waste management. This problem not only affects the esthetic view but is also hazardous to people nearby health. Currently, solid waste collected is either dumped in landfill unscientifically or partially treated by A to Z waste management (limited) by composting. In the present study, an effort was made to know about the per capita waste generation and variations in the quantity of different components of the MSW in five different regions of the city with dissimilar living standards. Also, weekly variation was analyzed in the study. One-way ANOVA analysis using Statistical Package for the Social Sciences is performed to investigate the variations in the mean composition of different components. The per capita solid waste generation in Aligarh City was found to be 0.42 kg/person/day. From the analysis, we came to know that compostable component (35.4%) is the highest, then inert (24.6%), plastic (12.2%), paper (10%), textile (9.2%), and sand (8.6%). After analysis, the results can help sort out the problem of MSW management in the city by selecting appropriate units as per the composition of MSW.

Pay-as-you-throw tariff and sustainable urban waste management: An empirical analysis of relevant effects.

Sustainable waste management presents a critical global challenge, necessitating the development of strategies for waste reduction and enhanced recycling. This study explores the impact of pay-as-you-throw tariffs (PAYTT) on promoting sustainable urban waste management. Propensity score matching was employed to analyse data from 7583 Italian municipalities. The study assesses the effects of PAYTT on both total and unsorted urban waste and evaluates their influence on the quantity and quality of separate waste collection. The findings indicate that the implementation of PAYTT effectively aligns with EU waste hierarchy policies. Municipalities adopting PAYTT experience reduced total and unsorted waste generation, along with improved quantity and quality of separate waste collections. Consequently, PAYTT holds significant potential for widespread application throughout the EU, contributing to enhanced separate waste collection efforts.

Sustainable solid waste management system using technology-enabled end-of-pipe strategies.

Ever Increasing accumulation of solid waste, attributed to population growth and rapid urbanization, is a serious issue for all nations. This creates hindrance in implementing sustainable solid waste management systems (SWMS), which contribute to socio-economic-environmental-operational (SEEO) benefits for the nations and their citizens. Limited understanding of various solid waste management (SWM) practices, their operational sequence, and other system constraints pose numerous challenges for the concerned authorities and policymakers. This paper provides a framework depicting three broad categories of strategies for managing solid waste: preventive, end-of-pipe (EOP), and environmental restoration. Among these, the research emphasizes on EOP strategies, being suitable alternative as per current requirements, to deal with massive amounts of generated waste. It further adopts Grey-DEMATEL approach to models the causal relationship among EOP strategies to identify the most influential strategy, which influences other ones. The model suggests waste segregation to be the major enabler for other EOP strategies, as it has maximum overall significance value (R + C) between 1.18 and 1.41 and it is the only one with positive value in "net-effect" computation (R-C), compared to other strategies with negative (R-C) values. This would enable concerned authorities to understand and follow the sequence of actions. Finally, a comprehensive framework is proposed for effective, efficient, and sustainable methods of handling different types of solid waste using technology-enabled EOP strategies. A case study is performed to demonstrate the significance of waste segregation towards SEEO benefits. It indicates that technology-based solutions at decentralized depots and establishment of biogas plant in the vicinity of garbage collection point leads to reduction in transportation cost and energy saving in efficient manner. The ground level implementation of our research in an Indian city resulted in the reduction of daily vehicle requirement from 25 to 20 vehicles, leading to approx. 25% savings in overall transportation costs thereby cutting exchequer's bill by up to $ 2820/month. It also reveals that mechanized and decentralized solutions were not effective for inert waste, its disposal to landfill was more suited alternative.

Ecological risk assessment of heavy metals in bottom ashes generated by small-scale thermal treatment furnaces for domestic waste in villages and towns of China.

Small-scale Solid Waste Thermal Treatment (SSWTT) is prevalent in remote Chinese locations. However, the ecological threats associated with heavy metals in resultant bottom ash remain undefined. This research study scrutinized such ash from eight differing sites, assessing heavy metal content, chemical form, and leaching toxicity. Most bottom ash samples met soil contamination standards for development land (GB36600-2018). However, levels of As, Cd, Cr, Cu, Ni, Pb, and Zn in some samples exceeded agricultural land standards GB15618-2018) by 1591%, 64,478%, 1880%, 3886%, 963%, 1110%, and 2011% respectively. Additionally, the As and Cd contents surpassed the construction land control limit value by 383% and 13% respectively. The mean values of the combined oxidizable and residual fraction (F3 + F4) for each heavy metal in all samples exceeded 65%, with Cr, Cu, Ni, and Pb reaching over 95%. All sample leaching concentrations, obtained via the HJ/T 299 procedure, were less than limits set by the identification standards for hazardous wastes (GB5085.3-2007). However, only the leaching concentrations of three samples via the leaching procedure HJ/T 300 met the "Solid Waste Landfill Pollution Control Standard" (GB 16889-2008). The results indicate that the location and type of SSWTT equipment play a crucial role in determining an appropriate solution for bottom ash management.

Internet of Things enables smart solid waste bin management system for a sustainable environment.

Solid waste management (SWM) is a pressing concern and significant research topic that requires attention from citizens and government stakeholders. Most of the responsibility of waste management is on the municipal sector for its collection, reallocation, and reuse of other resources. The daily solid waste production is more than 54,850 tonnes in urban areas and is difficult to manage due to limited resources and different administrative and service issues. New technologies are playing their role in this area but how to integrate the technologies is still a question, especially for developing countries. This paper is divided into two main phases including a detailed investigation and a technological solution. In the first phase, the data is collected by using the qualitative method to investigate and identify the issues related to waste management. After a detailed investigation and results, the gap is identified by using statistical analysis and proposed a technological solution in the second phase. The technology-based solution is used to control and manage waste with a low-cost, fast, and manageable solution. The new sensor-based technologies, cellular networks, and social media are utilized to monitor the trash in the areas. The trash management department receives notification via cellular services to locate the dustbin when the dustbin reaches a maximum level so the department may send a waste collector vehicle to the relevant spot to collect waste. The smart and fast solution will connect all stakeholders in the community and reduce the cost and time and make the collection process faster. The experiment results indicated the issues and effectiveness of the proposed solution.