Textile waste in the concept of circularity

The fashion industry is facing increasing pressure to move toward sustainable development, especially with concern to cost and environmental sustainability. Innovative digital technologies are regarded as a promising solution for fashion companies to resolve this issue. In this context, this paper put forth a new 3D reverse garment design approach embedded with a garment fit prediction and structure self-adaptive adjustment mechanism, using machine learning (ML) techniques. Initially, the 3D basic garment was drawn directly on the scanned mannequin of a specific consumer. Next, a probabilistic neural network (PNN) was employed to predict the garment’s fit. Afterwards, genetic algorithms (GA) and support vector regression (SVR) were utilized to estimate and control the garment structural parameters following the feedback of fit evaluation and the consumer’s personalized needs. Meanwhile, a comprehensive evaluation was constructed to characterize the quantitative relationships between the consumer profile and the designed garment profile (garment fit and styles). Ultimately, the desired garment which met the consumer’s needs was obtained by performing the routine of “design–fit evaluation–pattern adjustment–comprehensive evaluation”, iteratively. The experimental results show that the proposed approach provides a new solution to develop quality personalized fashion products (garments) more accurately, economically, and in an environmentally friendly way. It is feasible to facilitate the sustainable development of fashion companies by simultaneously reducing costs and negative impacts on the environment.

/pdf/a-machine-learning-enhanced-3d-reverse-design-approach-to-2rno6hmd.pdf

A Machine Learning-Enhanced 3D Reverse Design Approach to Personalized Garments in Pursuit of Sustainability

By controlling the negative externalities of pollution, environmental regulation contributes to social welfare. This article introduces the most legislatively influential environmental regulation implemented in China, the Air Pollution Prevention and Control Action Plan, to explore the social welfare effect of environmental regulation. A theoretical model simulates variations in social welfare under environmental regulation, which is defined as a summation of economic welfare and environmental welfare. Then, the Atkinson social welfare function is applied to measure social welfare in 280 Chinese cities during 2007–2019, and difference-in-difference model confirms that environmental regulation improves social welfare, it makes greater promotion in economic welfare (0.1210) than in environmental welfare (0.0032), and these effects take 2 years to be effective. Overall, except for controlling pollution, environmental regulation improves social welfare by stimulating economic growth and alleviating income inequality, that is, the economic expansion and equal distribution. However, environmental regulation increasing social welfare has a siphon effect, since it only blesses resource-rich or market-active cities, and an adequate population is the basis for the growth of social welfare. It is required to be vigilant about deepened regional gap in social welfare caused by environmental regulation. 

The social welfare effect of environmental regulation: An analysis based on Atkinson social welfare function

Evaluating the environmental sustainability of durable products through life cycle assessment. The case of domestic refrigerators

PurposeThis study examines the relationship between green psychological benefits and green apparel purchase behavior using stimulus–organism–response (S-O-R) theory and a serial multiple mediation model.Design/methodology/approachData were collected from 250 Lithuanians using a standardized questionnaire. Convergent and discriminant validity analyses were performed to ensure validity and reliability, and variable relationships were assessed using structural equation modeling.FindingsThe findings revealed utilitarian environmental benefits and warm glow benefits positively impacted Generation Z's (Gen Z's) attitudes toward green apparel. In contrast, the self-expressive benefits had no effect. In addition, attitude and purchase intention significantly predict green apparel purchase behavior. Attitudes and purchase intentions are crucial as serial mediators between green psychological benefits and green apparel purchase behavior.Originality/valueThese findings provide valuable insights for policymakers in Lithuania and highlight the importance of emphasizing the psychological benefits to encourage the purchase of green apparel. Moreover, policymakers and marketers should design apparel products that appeal to Gen Z, promoting green apparel adoption. By leveraging the stimulus–organism–response (S-O-R) theory, this research contributes to understanding pro-environmental behavior. It bridges the gap between attitudes, intentions and actual behavior in sustainable fashion research.

Exploring the psychological benefits of green apparel and its influence on attitude, intention and behavior among Generation Z: a serial multiple mediation study applying the stimulus–organism–response model

The purpose of this paper is to explore the sustainability properties of imposing a durability standard in clothing markets. In turn, our analysis provides economic theory support for clothing libraries as a form of collaborative consumption and as an incentive-compatible way for firms to comply with durability standards. Our insights to economic sustainability complement previous research that focuses upon strengthening environmental and social sustainability aspects of the textile market. We show that imposing a clothing durability standard in the textile industry, along with the credible threat that governments could instead impose Pigouvian taxes on clothing types, creates an incentive for clothing manufacturers to more strongly support clothing libraries. Manufacturer profit may fall less via clothing library participation than under the Pigouvian tax policy, and hence is relatively politically attractive to manufacturers. Environmental quality is lower under clothing libraries than under Pigouvian taxes; however, environmental quality is higher with clothing libraries than under ‘business as usual’ levels of market activity. Hence, we show that a durability standard may be considered a politically achievable improvement in overall (environmental, social and economic) sustainability and that such a standard is a compelling tool for promoting collaborative consumption via clothing libraries. 

Durability standards and clothing libraries for strengthening sustainable clothing markets

Popular Tasks used by Researchers

How can I help with your research?

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

We encountered an error while loading the panel. Please try refreshing the page.

Something went wrong

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

Anyone with the link can view this chat. You can switch it back to private anytime.

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Brendan Multala

Author Tools

Chat about Author

Papers

Durability standards and clothing libraries for strengthening sustainable clothing markets