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A Quantitative Approach for Identifying Adaptive Reuse Option for Industrial Buildings

conference contribution
posted on 2024-10-31, 09:29 authored by Yongtao TanYongtao Tan, Liyin Shen, Craig Langston
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-utilized. 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 centers, 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.

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Related Materials

  1. 1.
    DOI - Is published in 10.1007/978-3-662-46994-1_41
  2. 2.
    ISBN - Is published in 9783662469934 (urn:isbn:9783662469934)

Start page

495

End page

505

Total pages

11

Outlet

Proceedings of the 19th International Symposium on Advancement of Construction Management and Real Estate (CRIOCM 2014)

Editors

Liyin Shen; Kunhui Ye; Chao Mao

Name of conference

CRIOCM 2014

Publisher

Springer

Place published

Germany

Start date

2014-11-07

End date

2014-11-09

Language

English

Copyright

© Springer-Verlag Berlin Heidelberg 2015

Former Identifier

2006092719

Esploro creation date

2020-06-22

Fedora creation date

2019-12-17

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