Data analytics of social media publicity to enhance household waste management

Boosting beach clean-up participation through community resilience hypothetical scenarios

Engaging coastal communities in beach clean-up initiatives is crucial for the sustainability of marine ecosystems and the support of the blue economy. This study aims to examine the influence of various resilience attributes on community willingness to participate in these activities. It uses choice experiment framework to test three distinct scenarios: (1) cultural recycling education, (2) social media task force, and (3) resilience debris recovery. The study surveyed 647 valid samples from metropolitan Bali, Indonesia to assess their preferences across these scenarios. Advanced econometric models, specifically the Random Parameter Logit (RPL) and Latent Class Model (LCM), were used to analyze the data. The results indicate that integrating cultural and digital engagement strategies can significantly enhance community participation in beach clean-ups, providing a model that can be applied in various coastal regions. Each scenario improves community engagement by aligning beach clean-up efforts with broader economic and cultural dynamics.

How to promote municipal household waste management by waste classification and recycling? A stochastic tripartite evolutionary game analysis

Municipal household waste management (MHWM) is crucial for urban governance and sustainable development. Currently, Chinese governments at all levels are making great effort to implement MHWM through waste classification and recycling (WCR). However, the major participants in WCR, such as urban residents, property management companies and government departments, may act in their self-interest and hinder the MHWM goals. Therefore, it has become an imperative initiative to promote MHWM by effectively coordinate their conflicts of interest. Considering that external factors with complexity and uncertainty may also affect participants' behaviors, we develop a stochastic tripartite evolutionary game to model behavioral interaction of the three participants. Then we derive theoretical results and simulate different scenarios to examine the effects of key factors on participants' strategy evolution. The results show that stochastic interference, cost reduction and rules simplification contribute to WCR of MHWM, and reward and performance improvement benefits have different incentive effects. Moreover, credit-based punishment and disclosure of non-compliance are more effective than financial-based penalty. To promote MHWM, policymakers should not only simplify classification rules, lower participation cost and enhance credit-based punishment system, but also encourage anonymous report and apply well-designed financial-based incentive and penalty.

A critical review on sustainable hazardous waste management strategies: a step towards a circular economy

Globally, industrialisation and urbanisation have led to the generation of hazardous waste (HW). Sustainable hazardous waste management (HWM) is the need of the hour for a safe, clean, and eco-friendly environment and public health. The prominent waste management strategies should be aligned with circular economic models considering the economy, environment, and efficiency. This review critically discusses HW generation and sustainable management with the strategies of prevention, reduction, recycling, waste-to-energy, advanced treatment technology, and proper disposal. In this regard, the major HW policies, legislations, and international conventions related to HWM are summarised. The global generation and composition of hazardous industrial, household, and e-waste are analysed, along with their environmental and health impacts. The paper critically discusses recently adapted management strategies, waste-to-energy conversion techniques, treatment technologies, and their suitability, advantages, and limitations. A roadmap for future research focused on the components of the circular economy model is proposed, and the waste management challenges are discussed. This review stems to give a holistic and broader picture of global waste generation (from many sources), its effects on public health and the environment, and the need for a sustainable HWM approach towards the circular economy. The in-depth analysis presented in this work will help build cost-effective and eco-sustainable HWM projects.

Using a unified model of TPB, NAM and SOBC to understand students’ energy-saving behaviors: moderation role of group-level factors and media publicity

Purpose

This study aims to integrate the theory of planned behavior (TPB), norm activation model (NAM) and stimulus–organism–behavior–consequences theory (SOBC) with the moderators to investigate the main determinants of energy-saving behaviors as well as how group-level factors and media publicity significantly facilitate the energy-saving intention-behavior linkage among dormitory students in higher education institutions (HEIs).

Design/methodology/approach

A valid sample of 325 dormitory students resided in universities of Vietnam and a three-step analysis approach via SPSS 28.0 and AMOS 25.0 were used to test the hypothesized model.

Findings

This study yields that external stimuluses (subjective norms and perceived behavioral control) positively and strongly stimulate energy–energy attitude, while internal stimuluses (ascription of responsibility, awareness of consequences) arouse personal norms. Both internal and external stimuluses were found to have serially mediation effects on energy-saving behaviors via attitude toward energy saving, personal norms and energy-saving intention. Remarkably, group interaction and media publicity exert prominent positive moderation effects on the energy-saving intention–behavior relationship.

Practical implications

The findings of this research can be valuable for HEIs and policymakers to inspire university students’ energy conservation behavior for sustainable development goals.

Originality/value

This study contributed to the proenvironmental literature by adopting the SOBC paradigm that strengthens the integration of TPB and NAM models to explore the main determinants of dormitory students’ energy-saving behaviors, explain the underlying mediation mechanisms of organisms and behavioral responses and illustrate the moderation role of group-level factors and media publicity.

Promoting public engagement with household waste separation through government social media: A case study of Shanghai

Government agencies around the world are increasingly using social media to promote public engagement with government-initiated activities, such as Household Waste Separation (HWS). However, existing studies fail to examine how governments can use their official social media accounts to promote public engagement with HWS. This pioneering study investigates the effects of dialogic loop, media richness, content theme, and emotional valence on public engagement with HWS through Government Social Media (GSM). Moreover, the influencing mechanisms are explored by examining the moderating role of social media capital. In total, 1795 posts were scraped from the official Sina Weibo accounts of seventeen Shanghai governments and later analyzed. Results reveal that dialogic loop positively predicts public engagement with HWS through GSM, but media richness negatively affects public engagement. Content themes have significantly different impacts on the level of public engagement with HWS through GSM. Unexpectedly, the effect of emotional valence is not significant. This study is the first of its kind to demonstrate the moderating role of social media capital which is seen to weaken the positive effect of dialogic loop on public engagement with HWS through GSM and mitigate the negative effect of media richness.

Physicochemical methods for process wastewater treatment: powerful tools for circular economy in the chemical industry

In the chemical industry, a typical problem is the appropriate treatment of the process wastewaters. The biological treatment cannot be usually applied because of the high content of organochemical compounds. However, phsycicochemical methods can significantly contribute to the proper treatment of the process wastewater and usually also allows the recovery of the polluting materials. This phenomenon opens the application area of physicochemical methods for the treatment of process wastewater and can contribute not only to the aims of the circular economy but also to the zero liquid discharge. Besides literature studies, authors’ own results and innovations have been also presented. The treatment strategy for pharmaceutical process wastewater is reviewed in detail, which also serves to point out that hybrid methods can be usually efficient to solve the primary goal–maximum recovery and reuse of polluting materials.

Household waste management in Singapore and Shanghai: Experiences, challenges and opportunities from the perspective of emerging megacities

Due to rapid economic development and urbanisation, emerging megacities with dense populations have witnessed a significant increase in waste generation. Megacities face challenges in developing sustainable waste management systems. Considerable heterogeneity exists across megacities in management strategies. The two selected emerging megacities, Singapore (a city-state) and Shanghai, have similar developmental characteristics, but their waste management modes differ strikingly. This study assessed the two modes in terms of management strategies, environmental effects, economic costs, and social outcomes. Environmental footprint analysis and cost quantification were employed for the assessment based on public data. The research results would permit a deeper understanding of the long-term sustainability of each mode while considering the feasibility of implementation across different contexts. It was found that the waste management system in Singapore had a relatively lower environmental impact than Shanghai before Shanghai's new waste segregation and recycling policy in 2019. However, when the effect of fossil fuel substitution is taken into account, the environmental burden in Shanghai can be lowered more substantially than the one in Singapore. Although Shanghai had more economic burden for the waste segregation at source, it tended to implement the circular economy principles (e.g., reduce, reuse, and recycling) better and improve its sense of community significantly. Based on the practical experiences from the two representative megacities, suggestions for better waste management practices were provided for Singapore, Shanghai, and other emerging megacities with similar circumstances. In addition, challenges and opportunities related to household waste segregation and recycling were identified to guide future practices in emerging megacities.

Investigating the influencing factors of incentive-based household waste recycling using structural equation modelling

Household waste recycling management is one of the primary challenges of urban development. Incentive-based recycling systems have been used worldwide to increase the willingness of residents to take part in waste recycling. However, the factors that influence the amount of recyclables collected under the current incentive-based recycling systems have not been investigated thoroughly. In this study, the relationships between influencing factors and recycling behaviour were analysed using partial least squares structural equation modelling under a proposed analysis framework. A real-world case study in Shanghai of China was employed to demonstrate the framework's effectiveness. Six major observations were uncovered based on the studied communities: (1) The amount of recyclables collected increased by 190.9% during the pilot period of the new incentive-based recycling policy. (2) The recycling promotion effect of the new policy reached a peak after approximately three months during the pilot period. (3) Recycling motivation and publicity efforts improved recycling behaviour significantly, but the sense of community belonging and exogenous factors like rainy days and holidays did not necessarily have direct impacts on recycling behaviour. (4) Recycling motivation significantly mediated the relationship between the sense of community belonging and waste recycling behaviour. (5) Although publicity efforts in the studied communities did not necessarily enhance recycling motivation, publicity efforts promoted recycling behaviour significantly in the incentive-based recycling system in Shanghai. (6) Although the studied recycling company has made substantial efforts to formulate attractive recycling prices, its current pricing mechanism still has much room for improvement. This analysis framework and our observations offer insights for government authorities to move towards an enhanced incentive-based recycling system.

An Investigation of the Policies and Crucial Sectors of Smart Cities Based on IoT Application

As smart cities (SCs) emerge, the Internet of Things (IoT) is able to simplify more sophisticated and ubiquitous applications employed within these cities. In this regard, we investigate seven predominant sectors including the environment, public transport, utilities, street lighting, waste management, public safety, and smart parking that have a great effect on SC development. Our findings show that for the environment sector, cleaner air and water systems connected to IoT-driven sensors are used to detect the amount of CO2, sulfur oxides, and nitrogen to monitor air quality and to detect water leakage and pH levels. For public transport, IoT systems help traffic management and prevent train delays, for the utilities sector IoT systems are used for reducing overall bills and related costs as well as electricity consumption management. For the street-lighting sector, IoT systems are used for better control of streetlamps and saving energy associated with urban street lighting. For waste management, IoT systems for waste collection and gathering of data regarding the level of waste in the container are effective. In addition, for public safety these systems are important in order to prevent vehicle theft and smartphone loss and to enhance public safety. Finally, IoT systems are effective in reducing congestion in cities and helping drivers to find vacant parking spots using intelligent smart parking.

Forecasting plastic waste generation and interventions for environmental hazard mitigation

Plastic waste and its environmental hazards have been attracting public attention as a global sustainability issue. This study builds a neural network model to forecast plastic waste generation of the EU-27 in 2030 and evaluates how the interventions could mitigate the adverse impact of plastic waste on the environment. The black-box model is interpreted using SHapley Additive exPlanations (SHAP) for managerial insights. The dependence on predictors (i.e., energy consumption, circular material use rate, economic complexity index, population, and real gross domestic product) and their interactions are discussed. The projected plastic waste generation of the EU-27 is estimated to reach 17 Mt/y in 2030. With an EU targeted recycling rate (55%) in 2030, the environmental impacts would still be higher than in 2018, especially global warming potential and plastic marine pollution. This result highlights the importance of plastic waste reduction, especially for the clustering algorithm-based grouped countries with a high amount of untreated plastic waste per capita. Compared to the other assessed scenarios, Scenario 4 with waste reduction (50% recycling, 47.6% energy recovery, 2.4% landfill) shows the lowest impact in acidification, eutrophication, marine aquatic toxicity, plastic marine pollution, and abiotic depletion. However, the global warming potential (8.78 Gt CO₂eq) is higher than that in 2018, while Scenario 3 (55% recycling, 42.6% energy recovery, 2.4% landfill) is better in this aspect than Scenario 4. This comprehensive analysis provides pertinent insights into policy interventions towards environmental hazard mitigation.

AI-Crime Hunter: An AI Mixture of Experts for Crime Discovery on Twitter

Maintaining a healthy cyber society is a great challenge due to the users’ freedom of expression and behavior. This can be solved by monitoring and analyzing the users’ behavior and taking proper actions. This research aims to present a platform that monitors the public content on Twitter by extracting tweet data. After maintaining the data, the users’ interactions are analyzed using graph analysis methods. Then, the users’ behavioral patterns are analyzed by applying metadata analysis, in which the timeline of each profile is obtained; also, the time-series behavioral features of users are investigated. Then, in the abnormal behavior detection and filtering component, the interesting profiles are selected for further examinations. Finally, in the contextual analysis component, the contents are analyzed using natural language processing techniques; a binary text classification model (SVM (Support Vector Machine) + TF-IDF (Term Frequency—Inverse Document Frequency) with 88.89% accuracy) is used to detect if a tweet is related to crime or not. Then, a sentiment analysis method is applied to the crime-related tweets to perform aspect-based sentiment analysis (DistilBERT + FFNN (Feed-Forward Neural Network) with 80% accuracy), because sharing positive opinions about a crime-related topic can threaten society. This platform aims to provide the end-user (the police) with suggestions to control hate speech or terrorist propaganda.

Public Perceptions of Waste Management in Sri Lanka: A Focus Group Study

The prevention, reduction, recycling and reuse of waste is promoted by the United Nation’s 2030 Agenda for Sustainable Development, but many countries lack both necessary resources and infrastructure for sound waste management. While literature pinpoints the need for an engaged public and suggests a range of factors and supportive actions that may impact citizens’ waste behaviour, qualitative in-depth studies for engaging in waste management practices remain scarce. This study aimed to investigate perceptions of waste management and underlying behaviours for waste practices in the context of household waste management in Sri Lanka. Six focus group interviews were held with 23 residents across 6 regions in Sri Lanka. A thematic analysis of the interview transcripts revealed perceptions of four waste management systems, together with five motivational aspects of waste practices in urban, suburban, and rural areas. The analysis further considers how the motivational aspects are interlinked with practices within citizens’ perceived systems. In addition to the novel thematic contribution to the field, the findings can be used as a foundation to inform strategies to communicate with selected target audiences about their local challenges for sustainable waste management practices, in an attempt to influence citizen behaviours.

Designing a smart incentive-based recycling system for household recyclable waste

Household waste recycling is a significant challenge for society. Cities worldwide have been exploring how to reduce waste through recycling. Incentive mechanism is one of the promising measures to improve the participation of residents in waste recycling activities. However, several defects have been observed in the incentive-based waste recycling systems: (1) inefficient allocation of resources in recycling services, (2) deficient systems lacking future planning, and (3) limitations in circulating responsive feedback amongst stakeholders. For overcoming these defects, a smart incentive-based recycling system is designed using the Internet of Things and data analysis technologies. Four key components in the designed system-namely, amount pattern discovery, price adjustment suggestion, waste-collection amount forecasting, and information sharing amongst stakeholders-assist in constructing a smarter system to enhance waste recycling. A basic incentive-based recycling system in Shanghai, with data on 19 specific recyclable items from 21 August 2018 to 20 March 2019, was improved to demonstrate the effectiveness of the designed system. For the case of a pilot community, the recyclable waste-collection amount increased 229.3%, but the weekly pattern of collection amount got imbalanced, especially at weekends. The weekly pattern analyses suggested adjusting the pricing for cardboard, strawboard, plastic bottles, and old clothing amongst the six identified items (i.e. taking ~80.0% by weight) to balance the collection amount and allocate resources better for waste-collection operations. The two-month trend analysis and fortnight forecasting help to make plans rationally for recycling businesses. Under the new information-sharing platform, stakeholders could collaborate smoothly in household waste recycling and reduction.

Impacts of COVID-19 on energy demand and consumption: Challenges, lessons and emerging opportunities

COVID-19 has caused great challenges to the energy industry. Potential new practices and social forms being facilitated by the pandemics are having impacts on energy demand and consumption. Spatial and temporal heterogeneities of impacts appear gradually due to the dynamics of pandemics and mitigation measures. This paper overviews the impacts and challenges of COVID-19 pandemics on energy demand and consumption and highlights energy-related lessons and emerging opportunities. The discussion on energy-related issues is divided into four main sections: emergency situation and its impacts, environmental impacts and stabilising energy demand, recovering energy demand, and lessons and emerging opportunities. The changes in energy requirements are compared and analysed from multiple perspectives according to available data and information. In general, although the overall energy demand declines, the spatial and temporal variations are complicated. The energy intensity has presented apparent changes, the extra energy for COVID-19 fighting is non-negligible for stabilising energy demand, and the energy recovery in different regions presents significant differences. A crucial issue has been to allocate and find energy-related emerging opportunities for the post pandemics. This study could offer a direction in opening new avenues for increasing energy efficiency and promoting energy saving.

An update of COVID-19 influence on waste management

COVID-19 has been sweeping the world. The overall number of infected persons has been increased from 5 M in March 2020 to over 22 M in August 2020 and growing, which seems not to get its peak at the current stage. This has contributed to waste generation and different phases of challenges in waste management practices. The impacts including change in waste amount, composition, timing/frequency (temporal), distribution (spatial) and risk, which affects the handling and treatment practices. Recent impacts, challenges and developments on waste management in the response of COVID-19 have been assessed in this update. Singapore, the cities of Shanghai in China and Brno in the Czech Republic (a member state of the European Union), representing different pandemic development situation and also various cultural attitudes, are specifically analysed and discussed with current data. However, it should be noted that it is still fast developing. A varying trend in term of the waste amount is identified. Shanghai is showing a ~23% decline in household waste amount; however, Singapore is showing a ~3% increase, and Brno is showing a ~1% increase in household waste amount but ~40% decline in business and industrial waste. Manual sorting and recycling have been reported as restricted due to safety precaution. This is supported by the interview communication with ZEVO SAKO (the largest incineration plant in the Czech Republic). This study highlighted that the practices or measures at each place could serve as a guideline and reference. However, adaption is required according to the geographical and socioeconomic factors.

Coronavirus disease 2019 (COVID-19) induced waste scenario: A short overview

The COVID-19 pandemic and lockdown situation have shown both positive and negative effects on the environmental aspects. With an unprecedented rate the different types of waste volume have up surged along with the COVID-19 contamination rate. As the situation has mandated people as well as the most infected persons to stay at home, the amount of generated hazardous waste is 3.40 kg that can be expected daily from each infected person. China and other countries have seen a massive increment in the hazardous waste generation (about 600 % increase in Hubei province) amount. While dealing with this sudden increase in waste amount, the conventional incineration facilities have been outstripped and waste management industry is facing an immense pressure over handling hazardous waste generated from COVID-19 infected patients. Alongside with the hazardous waste volume, single-use plastic items and personal protective equipment (PPEs) have induced a new type of "PPE pollution" in the land and aquatic environment. The current review provides a countrywide waste generation amount, estimated using the infected number of cases for some selected countries. In contrast with the poor waste management noticed during this pandemic, some suggested approaches towards a better waste management service and future implications of waste management are discussed with viable consideration for the waste workers.