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From Maslow to Architectural Spaces: The Assessment of Reusing Old Industrial Buildings

Autor(en):
ORCID
ORCID
Medium: Fachartikel
Sprache(n): Englisch
Veröffentlicht in: Buildings, , n. 11, v. 12
Seite(n): 2033
DOI: 10.3390/buildings12112033
Abstrakt:

In many cases, the purpose of reusing old industrial buildings is to serve the public. Converting a building that had a particular function and is unfamiliar to the public to a civic building is a great challenge. Significantly, the public’s curiosity towards a special-purpose industrial building alone is not enough to give the building a long life following its conversion and regeneration. To be sustainable in public life, the design of reused old industrial buildings should also meet the needs of the public. It is important to realise, however, that everyone’s needs are different. This paper will therefore analyse whether Abraham Maslow’s (1943) famous psychological theory, the Hierarchy of Needs, which not only summarized the content of human needs, but also divided them into levels, can be applied to the reuse of former industrial buildings. The paper translates this into the field of architecture to develop an assessment framework for the reuse of old industrial buildings. This assessment framework is able to combine mathematical models for quantitative assessment of future projects, and uses Shanghai 1933 Old Millfun, China as a case study for its demonstration. This provides an evaluation of a completed project and identifies challenges for further development, as well as providing guidance for future adaptive reuse projects.

Copyright: © 2022 by the authors; licensee MDPI, Basel, Switzerland.
Lizenz:

Dieses Werk wurde unter der Creative-Commons-Lizenz Namensnennung 4.0 International (CC-BY 4.0) veröffentlicht und darf unter den Lizenzbedinungen vervielfältigt, verbreitet, öffentlich zugänglich gemacht, sowie abgewandelt und bearbeitet werden. Dabei muss der Urheber bzw. Rechteinhaber genannt und die Lizenzbedingungen eingehalten werden.

  • Über diese
    Datenseite
  • Reference-ID
    10699744
  • Veröffentlicht am:
    10.12.2022
  • Geändert am:
    15.02.2023
 
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