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Record W4402961831 · doi:10.3724/j.fjyl.202405260296

Adaptive Reuse Approach to the Conservation of Historic Urban Landscape: Evolution and Role of Facadism

2024· article· en· W4402961831 on OpenAlexaboutno aff
Emilee CHEN, kaiyi Zhu

Bibliographic record

VenueLandscape Architecture · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsAdaptive reuseReuseEnvironmental planningGeographyLandscape architectureEnvironmental resource managementUrban landscapeArchitectural engineeringEnvironmental ethicsCivil engineeringArchaeologyEngineeringEnvironmental scienceEcologyBiologyPhilosophy

Abstract

fetched live from OpenAlex

Objective Facadism is an adaptive reuse approach — removing internal redundancies and remodeling heritage buildings while preserving their historic façades. Criticized but also widely applied in heritage practice, the concept of Facadism has evolved towards heritage conservation principles, leaving important examples for heritage practitioners involved in the conservation and transformation practice of historic urban landscapes in contemporary metropolitan development. Historic urban landscapes and built cultural heritage therein have become key drivers for urban renewal in many historic towns and regions worldwide. Since the 1980s, to alleviate housing pressures, Facadism has become a common adaptive reuse approach evolving to balance historic landscape conservation and urban development in real estate developments in North America, and has been controversial due to the physical destruction of heritage authenticity. In China, an adaptive reuse approach similar to Facadism has also come to the forefront since the late 1990s through the practice of conservation and renovation in the Xintiandi redevelopment project in Shanghai. The Facadism approach reflects the tension between conservation and development, history and modernity, and tradition and innovation, launching a call for in-depth research. Methods/process This research first analyzes the theoretical origins of Facadism and its evolution in heritage discourse by understanding and defining it. It also studies the impact generated by Facadism on heritage authenticity in practice. Secondly, since many cases of Toronto’s Facadism practice have received widespread recognition for their treatment of building − street linkage, this research identifies and reviews typical cases with the aim of exploring the factors that make Facadism successful in a particular context. By tracing the evolution of Facadism practice on Toronto’s Yonge Street over the course of the 21st century, the research reveals why Facadism has become the default strategy for adaptive reuse of historic buildings in Toronto, and its multiple impacts on heritage values, genius loci, collective identity, spatial perception, urban development and social justice. By reviewing public discussions, municipal decisions and theoretical perspectives, this research aims to analyze and explain the potential reasons for the successful practices of the Facadism strategy in adaptive reuse and its evolutionary path during implementation. To further explore the theoretical applicability of the concept of Facadism in China’s urban renewal under contextual transformation, this research introduces Shanghai’s extensive adaptive reuse practices and the use of related terms for comparative analysis. Results/conclusion Through an analysis of the adaption of the Bank of Montreal, the McLaughlin Showroom, and a row of Victorian buildings, this research categorizes the façade-led design strategies for adding high-rises on existing historic buildings into three groups: Sheet mode, podium mode, and attachment mode. The research also identifies similar approaches in adaptive reuse practices in Shanghai, such as the redevelopment of Jianyeli, Shangxianfang, and arcades on East Jinling Road. However, this research notes that although practitioners have used Facadism approache in Shanghai’s heritage adaption, the term “Facadism” is not introduced and known to the academia and the general public as a term or a keyword to describe a retrofitting strategy. Furthermore, in the China Knowledge Network database, there is no evidence of any papers or other results related to “Facadism” through keyword search. This research further suggests that the general idea of “adaptive reuse” for summarizing various heritage approaches can directly lead to two drawbacks in heritage conservation practice. On the one hand, it allows stakeholders to obfuscate concepts, to use slogans such as “conservation development” to disguise actual destructive operation of heritage in a speculative manner and to lower the public’s psychological line of defense against the destruction of cultural heritage. On the other hand, this leads to a lack of respect for the designation of significant heritage and conservation planning by stakeholders, requiring adjustments of legally valid conservation planning in implementation. This research further argues that the most alarming aspect of Facadism approach is not its outcome, but the impact on the integrated conservation of historic landscapes and the choice of values in the extensive urbanism process. In China’s post-2021 urban renewal, an increasing number of historic blocks, neighborhoods, and roads selected into the heritage list are facing the challenge of being transformed. This research argues for the introduction of more pragmatically oriented adaptive reuse concepts in contemporary urban renewal in China, preventing the hybridization and misuse of conservation concepts by stakeholders and maintaining the purity of heritage conservation principles. Overall, this research emphasizes the implications of Facadism in contemporary urban renewal from the perspective of heritage integrity and authenticity of the conservation of historic urban landscape.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.066
Threshold uncertainty score0.135

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.020
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.194
Teacher spread0.166 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2024
Admission routes1
Has abstractyes

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