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Sharing cities and sustainable consumption and production: towards an integrated framework

Open access
Cohen, Boyd, Muñoz, Pablo·2016·Journal of Cleaner Production

Abstract

Calls for a transformation towards more sustainable consumption and production (SCP) have been intensifying. As urban populations swell across the planet, cities are faced with increasing pressure on infrastructure, economic and ecological systems. Yet, with their high population densities and ubiquity of information and communication technologies, cities are becoming breeding grounds for a new, circular economy driven by emerging and long-standing sharing activities. This research provides a comprehensive view of SCP systems in cities by integrating and examining sharing economy activities in the context of two continuums, i.e. SCP and private/public orientation. Based on these two analytical dimensions, the paper evaluates and plots five groups of 18 sharing activities to create a Sharing Cities-SCP Typology comprised by five ideal types. Each of these five types represents a unique form of SCP activity, with the potential to directly impact SCP systems in the context of urban environments. By enabling diversity and hybridity in the SCP analysis, we allow for a theoretical expansion of SCP models and a new way of understanding how they may play out in cities.

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Metadata

Authors
Cohen, B., & Muñoz, P.
Venue
Journal of Cleaner Production
Publisher
Elsevier BV
Published
2016-10
Volume
134
Pages
87-97
ISSN
0959-6526 (ISSN-L)
OpenAlex
W1486242516
Cited by
361
References
4
FWCI
71.54
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Sharing cities and sustainable consumption and production: towards an integrated framework. https://app.cochat.ai/papers/10.1016/j.jclepro.2015.07.133
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Cohen, B., & Muñoz, P. (2016). Sharing cities and sustainable consumption and production: towards an integrated framework. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2015.07.133

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.