The Open UniversitySkip to content
 

London's Olympic legacy and the Imagine methodology

Bell, Simon and Farren Bradley, Judi (2012). London's Olympic legacy and the Imagine methodology. Local Economy, 27(1) pp. 68–77.

Full text available as:
[img]
Preview
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (1418Kb)
DOI (Digital Object Identifier) Link: http://doi.org/10.1177/0269094211425325
Google Scholar: Look up in Google Scholar

Abstract

In 2010 Future of London commissioned academics to work with representatives from the London Boroughs, to consider the legacy of the Olympic Village taking shape in Stratford, in the East End of London. The exercise, in the form of a workshop, was to: review the current context/situation; prioritize issues; envisage future options; explore and develop relevant sustainability indicators; develop a forward plan for community development. This article describes the process adopted in the analysis of the Olympic Village’s transformation from World Media Site to a sustainable part of the Greater London metropolis. The methodology applied, Imagine, is described and some of the key outputs from the analysis and design of legacy process are described. In conclusion the article examines the oeuvre of projects of this kind when set against the challenges of longer term sustainability.

Item Type: Journal Article
Copyright Holders: 2012 The Authors
ISSN: 0269-0942
Keywords: Imagine methodology, Olympic legacy, sustainable community
Academic Unit/Department: Mathematics, Computing and Technology > Engineering & Innovation
Mathematics, Computing and Technology
Item ID: 30531
Depositing User: Simon Bell
Date Deposited: 26 Jan 2012 09:12
Last Modified: 23 Feb 2016 22:41
URI: http://oro.open.ac.uk/id/eprint/30531
Share this page:

Altmetrics

Scopus Citations

► Automated document suggestions from open access sources

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk