Literature DB >> 26871002

Material Stock Demographics: Cars in Great Britain.

André Cabrera Serrenho1, Julian M Allwood1.   

Abstract

Recent literature on material flow analysis has been focused on quantitative characterization of past material flows. Fewer analyses exist on past and prospective quantification of stocks of materials in-use. Some of these analyses explore the composition of products' stocks, but a focus on the characterization of material stocks and its relation with service delivery is often neglected. We propose the use of the methods of human demography to characterize material stocks, defined herein as stock demographics, exploring the insights that this approach could provide for the sustainable management of materials. We exemplify an application of stock demographics by characterizing the composition and service delivery of iron, steel, and aluminum stocks of cars in Great Britain, 2002-2012. The results show that in this period the stock has become heavier, it is traveling less, and it is idle for more time. The visualization of material stocks' dynamics demonstrates the pace of product replacement as a function of its usefulness and enables the formulation of policy interventions and the exploration of future trends.

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Year:  2016        PMID: 26871002     DOI: 10.1021/acs.est.5b05012

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  3 in total

1.  The impact of reducing car weight on global emissions: the future fleet in Great Britain.

Authors:  André Cabrera Serrenho; Jonathan B Norman; Julian M Allwood
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2017-06-13       Impact factor: 4.226

2.  Industry 1.61803: the transition to an industry with reduced material demand fit for a low carbon future.

Authors:  Julian M Allwood; Timothy G Gutowski; André C Serrenho; Alexandra C H Skelton; Ernst Worrell
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2017-06-13       Impact factor: 4.226

3.  Regional distribution and losses of end-of-life steel throughout multiple product life cycles-Insights from the global multiregional MaTrace model.

Authors:  Stefan Pauliuk; Yasushi Kondo; Shinichiro Nakamura; Kenichi Nakajima
Journal:  Resour Conserv Recycl       Date:  2017-01       Impact factor: 10.204

  3 in total

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