What Affects Garment Lifespans? International Clothing Practices Based on a Wardrobe Survey in China, Germany, Japan, the UK, and the USA

Kirsi Laitala and Ingun Grimstad Klepp

Abstract

Increasing the length of clothing lifespans is crucial for reducing the total environmental impacts. This article discusses which factors contribute to the length of garment lifespans by studying how long garments are used, how many times they are worn, and by how many users. The analysis is based on quantitative wardrobe survey data from China, Germany, Japan, the UK, and the USA. Variables were divided into four blocks related respectively to the garment, user, garment use, and clothing practices, and used in two hierarchical multiple regressions and two binary logistic regressions.

The models explain between 11% and 43% of the variation in clothing lifespans. The garment use block was most indicative for the number of wears, while garment related properties contribute most to variation in the number of users. For lifespans measured in years, all four aspects were almost equally important. Some aspects that affect the lifespans of clothing cannot be easily changed (e.g., the consumer’s income, nationality, and age) but they can be used to identify where different measures can have the largest benefits. Several of the other conditions that affect lifespans can be changed (e.g., garment price and attitudes towards fashion) through quality management, marketing strategies, information, and improved consumer policies.

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Clothing Lifespans: What Should Be Measured and How

Ingun Grimstad Klepp, Kirsi Laitala & Stephen Wiedemann

Abstract

Increasing the use of each product, most often called longer lifespans, is an effective environmental strategy. This article discusses how garment lifespans can be described in order to be measured and compared. It answers two sub-questions: (1) what to measure (units), and (2) how to measure (methods). We introduce and define terms related to clothing lifespans and contribute to discussions about an appropriate functional unit for garments in life cycle assessments (LCA) and other environmental accounting tools. We use a global wardrobe survey to exemplify the units and methods.

Clothing lifespans can be described and measured in years, the number of wears, cleaning cycles, and users. All have an independent value that show different and central aspects of clothing lifespans. A functional unit for LCAs should emphasise both the number of wears for all users as well as the service lifespan in years. Number of wears is the best measure for regular clothing, while number of years is most suited for occasion wear, because it is important to account for the need of more garments to cover all the relevant occasions during a specified time period. It is possible to study lifespan via carefully constructed surveys, providing key data relating to actual garment use.

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Making Clothing Last: A Design Approach for Reducing the Environmental Impacts

Kirsi Laitala, Casper Boks & Ingun Grimstad Klepp

Abstract

This article discusses the extent it is possible to delay clothing disposal through improved design, thus reducing negative environmental impacts. This has been done by including user centered design methods into more traditional quantitative consumer research to give new insights for design. Empirical data on reasons for disposal of 620 clothing items from 35 persons in 16 Norwegian households was collected. In total, 70 different disposal reasons were registered, which were combined into seven main categories.

Changes in garments as well as size and fit issues dominated, while functional, situational, taste, and fashion related reasons were less common. The article concludes with design solutions on four levels related to the important disposal reasons including product design (material and shape), service design, and systems design, but also shows that consumer behaviour is crucial. In addition, the combination of results obtained with various qualitative and quantitative methods proved to be suitable for giving rich data that can be used to drive design research forward.

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