Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.8
3.3
Journals
Sustainability
Special Issues
Sustainable Solid Waste Management and Resource Recycling
sustainability-logo
Submit to Sustainability Review for Sustainability Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Sustainable Solid Waste Management and Resource Recycling

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Resources and Sustainable Utilization".

Deadline for manuscript submissions: closed (1 December 2021) | Viewed by 15193

Special Issue Editors

Prof. Dr. Ming-Lang Tseng

E-Mail Website
Guest Editor
Institute of Innovation and Circular Economy, Asia University, Taichung 41345, Taiwan
Interests: municipal solid wastes; green supply chain management; corporate sustainability
Special Issues, Collections and Topics in MDPI journals
Dr. Mohd Helmi Ali

E-Mail Website
Guest Editor
Faculty of Economics and Management, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi 43600, Malaysia
Interests: circular economy; corporate sustainability
Special Issues, Collections and Topics in MDPI journals
Dr. Yeneneh Tamirat Negash

E-Mail Website
Guest Editor
Institute of Innovation and Circular Economy, Asia University, Taichung 41345, Taiwan
Interests: circular economy; corporate sustainability
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Sustainable solid waste management (SSWM) is an emerging problem in an increasing number of countries due to the misconnection among management networks. SSWM requires the incorporation of economic benefits, environmental impacts, and social assessment perspectives as it often encounters difficulties since authorities cannot confront the multiperspectives (Bui et al., 2020). Authorities are necessary for all phases of the resource recycling system, including planning, design, restructuring, organization and response—to preserve environmental quality for future development goals. Still, different technical resource recycling practices in urban or suburban environments are needed to address the economic features, ecological conservation, and social conventions toward sustainable development. This SI aims to collect academic models/methodologies/practical solutions that support an appropriate SSW to handle the huge volume of generated waste, provide high economic benefits, and stabilize the local social situation.

In addition, SSWM plays fundamental roles in utilizing resources while producing new commercial prospects by renovating new resource-management practices and encourages private-sector participation by generating more employment and business opportunities. Proper SSWM is important to its TBL impact, and different approaches are necessary to reflect the attributes of human consumption and guarantee the sustainability of the biological environment through appropriate waste management activities. Waste management processes involve basic waste management such as assortment, transport, treatment, and disposal. The current literature is lacking when it comes to effectively and efficiently enhancing resource recycling and depends on internal resources but also requires resources from outside stakeholders. This Special Issue seeks advanced research to enhance or guide sustainable solid waste management and resource recycling.

Interesting topics include but are not limited to:

  • Systematic frameworks for sustainable solid waste management and their influential attributes to resources recycling;
  • A proper practical approach or method for promoting sustainable solid waste management and resource recycling;
  • Innovative approaches for sustainable solid waste management and resource recycling;
  • Novel theories and methods for sustainable solid waste management and resource recycling;
  • Decision making on sustainable solid waste management and resource recycling.

Prof. Dr. Ming-Lang Tseng
Dr. Mohd Helmi Ali
Dr. Yeneneh Tamirat Negash
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • sustainable solid waste
  • solid-waste management
  • sustainable solid-waste management
  • resource recycling
  • total resource management

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (4 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

19 pages, 8768 KiB  
Article
Use of Off-ASTM Class F Fly Ash and Waste Limestone Powder in Mortar Mixtures Containing Waste Glass Sand
by Chang-Seon Shon, Aidyn Tugelbayev, Ramazan Shaimakhanov, Nariman Karatay, Dichuan Zhang and Jong R. Kim
Sustainability 2022, 14(1), 75; https://doi.org/10.3390/su14010075 - 22 Dec 2021
Cited by 10 | Viewed by 3349
Abstract
Developing sustainable concrete with less ordinary Portland cement is a growing issue in the construction industry. Incorporating industrial by-products (such as fly ash or slag) or municipal solid wastes (such as waste glass or recycled concrete aggregate) into the concrete becomes an effective [...] Read more.
Developing sustainable concrete with less ordinary Portland cement is a growing issue in the construction industry. Incorporating industrial by-products (such as fly ash or slag) or municipal solid wastes (such as waste glass or recycled concrete aggregate) into the concrete becomes an effective way to reduce the consumption of natural sources and carbon dioxide emission if a proper mix design is provided. The present study examines the influence of the combined use of off-ASTM Class F fly ash (FFA) and waste limestone powder (LSP) on flowability, compressive strength, and expansion characteristics of mortar mixtures containing waste glass sand (WGS). FFA and LSP were used as cement replacement while WGS was used as partial reactive siliceous river sand replacement. Material variables included different WGS replacement ratios (25%, 50%, and 75%) with river sand, LSP contents (25%, 50%, and 75%), FFA contents (15%, 30%, and 45%), and different combinations of FFA-LSP (15–10%, 15–15%, 15–30%, and 15–35%). It is shown that the single use of FFA or LSP reduces both compressive strength and flowability of mortar mixture as its replacement level increases. However, mixtures combined with FFA and LSP provide higher or comparable strength to the single LSP or FFA mixture. For the expansion characteristics due to alkali-silica reaction, the single-use of more than 30% FFA or 75% LSP has less than 0.1% expansion, which is a non-reactive aggregate criterion based on the C1260/C1567 when the test period is extended to 56 days. Moreover, the combination of FFA and LSP has a considerable reduction in expansion rate compared to the single FFA or LSP mixture. Full article
(This article belongs to the Special Issue Sustainable Solid Waste Management and Resource Recycling)
►▼ Show Figures

Figure 1

15 pages, 1191 KiB  
Article
Extended Theory of Planned Behavior for Predicting the Willingness to Pay for Municipal Solid Waste Management in Beijing
by Jiahao He, Zhefan Yu and Hiroatsu Fukuda
Sustainability 2021, 13(24), 13902; https://doi.org/10.3390/su132413902 - 16 Dec 2021
Cited by 13 | Viewed by 3854
Abstract
Municipal solid waste (MSW) management has become a problem in China, mainly since there is no uniform standard for MSW management charges, causing conflict between local residents and the government. An intelligent garbage sorting system (IGSS) is an effective sorting approach for MSW [...] Read more.
Municipal solid waste (MSW) management has become a problem in China, mainly since there is no uniform standard for MSW management charges, causing conflict between local residents and the government. An intelligent garbage sorting system (IGSS) is an effective sorting approach for MSW management. To explore the predictors of local residents’ willingness to pay (WTP) for the IGSS, this study applied an extended theory of planned behavior (TPB) model by adding an antecedent environmental concern (EC) prior to the main predictors of the TPB model (attitudes, subject norms, perceived behavioral control). The WTP of Beijing residents for MSW management and the determinants of WTP were analyzed. The specific amount of WTP was predicted by a contingent valuation method (CVM) in an online questionnaire, and the mean WTP was estimated to be USD 49.93 per household per year. The results showed a positive connection between EC and residents’ WTP, and most of the participants were willing to pay for the IGSS for MSW management. Full article
(This article belongs to the Special Issue Sustainable Solid Waste Management and Resource Recycling)
►▼ Show Figures

Figure 1

14 pages, 1631 KiB  
Article
Recycling Waste Classification Using Vision Transformer on Portable Device
by Kai Huang, Huan Lei, Zeyu Jiao and Zhenyu Zhong
Sustainability 2021, 13(21), 11572; https://doi.org/10.3390/su132111572 - 20 Oct 2021
Cited by 24 | Viewed by 4798
Abstract
Recycling resources from waste can effectively alleviate the threat of global resource strain. Due to the wide variety of waste, relying on manual classification of waste and recycling recyclable resources would be costly and inefficient. In recent years, automatic recyclable waste classification based [...] Read more.
Recycling resources from waste can effectively alleviate the threat of global resource strain. Due to the wide variety of waste, relying on manual classification of waste and recycling recyclable resources would be costly and inefficient. In recent years, automatic recyclable waste classification based on convolutional neural network (CNN) has become the mainstream method of waste recycling. However, due to the receptive field limitation of the CNN, the accuracy of classification has reached a bottleneck, which restricts the implementation of relevant methods and systems. In order to solve the above challenges, in this study, a deep neural network architecture only based on self-attention mechanism, named Vision Transformer, is proposed to improve the accuracy of automatic classification. Experimental results on TrashNet dataset show that the proposed method can achieve the highest accuracy of 96.98%, which is better than the existing CNN-based method. By deploying the well-trained model on the server and using a portable device to take pictures of waste in order to upload to the server, automatic waste classification can be expediently realized on the portable device, which broadens the scope of application of automatic waste classification and is of great significance with respect to resource conservation and recycling. Full article
(This article belongs to the Special Issue Sustainable Solid Waste Management and Resource Recycling)
►▼ Show Figures

Figure 1

23 pages, 2192 KiB  
Article
Household Waste Separation Intentions in Mongolia: Persuasive Communication Leads to Perceived Convenience and Behavioral Control
by Yeneneh Tamirat Negash, Abdiqani Muse Hassan, Bayarjargal Batbaatar and Pei-Kuan Lin
Sustainability 2021, 13(20), 11346; https://doi.org/10.3390/su132011346 - 14 Oct 2021
Cited by 6 | Viewed by 2206
Abstract
This study contributes by developing a set of household waste separation (HWS) attributes to address waste mishandling and to enhance waste separation intentions in households. In Mongolia, a lack of waste separation at the household level needs to be addressed to improve municipal [...] Read more.
This study contributes by developing a set of household waste separation (HWS) attributes to address waste mishandling and to enhance waste separation intentions in households. In Mongolia, a lack of waste separation at the household level needs to be addressed to improve municipal solid waste management systems. However, prior studies have not established attributes in a hierarchical structure, nor do they understand their cause-effect interrelationships. First, the fuzzy Delphi method (FDM) was used to screen out the unnecessary attributes in qualitative information. The fuzzy decision-making trial and evaluation laboratory (FDEMATEL) was then applied to understand the hierarchical structure of the attributes and their cause-effect interrelationships. The study identifies a valid set of attributes consisting of five aspects and 17 criteria under uncertainties. A hierarchical framework consisting of environmental attitudes, social norms, perceived behavioral control, perceived convenience, and persuasive communication is provided. The findings reveal that persuasive communication and environmental attitudes are causal group aspects. Furthermore, persuasive communication has a strong causal impact and higher importance in improving HWS intentions, and it leads to perceived convenience and behavioral control. For policymakers, credibility of information, knowledge and information, awareness of consequences, willingness to sort, and perceived policy effectiveness are the key causal criteria for enhancing HWS intentions. Theoretical and practical policy implications are discussed. Full article
(This article belongs to the Special Issue Sustainable Solid Waste Management and Resource Recycling)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-4
Back to TopTop