Research on the welcoming experience of the museum's arrival space

Guo, Sifan; Zheng, Xuesen

doi:10.1080/09647775.2022.2132994

Cited by 2 publications

(1 citation statement)

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“…People in unfamiliar surroundings can feel uneasy, as can users entering a building for the first time [42]. In public buildings, users want to become familiar with their environment as soon as possible [42,43]. This familiarity with the environment is primarily a sense of orientation to the layout of the building, otherwise, they will rapidly lose confidence in experiencing the building [44].…”

Section: • Legibilitymentioning

confidence: 99%

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

2022

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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.

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Section: • Legibilitymentioning

confidence: 99%