A fuzzy approach for adaptive reuse selection of industrial buildings in Hong Kong

Yongtao Tan, Li yin Shen, Craig Langston

Research output: Contribution to journalArticleResearchpeer-review

16 Citations (Scopus)

Abstract

With rapid economic development and restructuring, there are an increasing number of aged or obsolete buildings in large cities, such as Hong Kong. Adaptive reuse of these buildings provides an alternative for property stakeholders towards more sustainable practices instead of redevelopment or destruction. Adaptive reuse can also make great contributions to sustainable development by reducing construction waste and saving natural resources. As a result of industrial restructuring, manufacturing plants were migrated from Hong Kong to Mainland China during the 1980s and 1990s. Many industrial buildings then became vacant or under-utilised. Adaptive reuse of these industrial buildings is considered a viable way forward for all parties, including government, property stakeholders and the community. However, the problem is how to deal with multiple criteria to assess how these buildings can be reused for residential living, retail, training centres, or other purposes. Adaptive reuse of industrial buildings is discussed in this paper, and a fuzzy adaptive reuse selection model is developed for decision-making. A hypothetical example is used to demonstrate the application of the method and show its effectiveness. © 2014

Original languageEnglish
Pages (from-to)66-76
Number of pages11
JournalInternational Journal of Strategic Property Management
Volume18
Issue number1
DOIs
Publication statusPublished - 2014

Fingerprint

Reuse
Hong Kong
Stakeholders
Multiple criteria
Decision making
Economic development
Industrial restructuring
Government
Selection model
Manufacturing
Economic restructuring
Sustainable development
Retail
Redevelopment
Mainland China
Natural resources

Cite this

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A fuzzy approach for adaptive reuse selection of industrial buildings in Hong Kong. / Tan, Yongtao; Shen, Li yin; Langston, Craig.

In: International Journal of Strategic Property Management, Vol. 18, No. 1, 2014, p. 66-76.

Research output: Contribution to journalArticleResearchpeer-review

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