Architectural Quality and the Housing Market: Values of the Late Twentieth Century Built Heritage

Barreca, Alice

doi:10.3390/su14052565

Cited by 6 publications

(2 citation statements)

References 53 publications

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“…The efficiency and quality of architectural designs have been unsatisfactory [4,[16][17][18]. In this context, this research proposes a method to generate architectural design based on text prompts.…”

Section: Significance Of Researchmentioning

confidence: 99%

Using Artificial Intelligence to Generate Master-Quality Architectural Designs from Text Descriptions

Chen,

Wang,

Shao

et al. 2023

Buildings

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The exceptional architecture designed by master architects is a shared treasure of humanity, which embodies their design skills and concepts not possessed by common architectural designers. To help ordinary designers improve the design quality, we propose a new artificial intelligence (AI) method for generative architectural design, which generates designs with specified styles and master architect quality through a diffusion model based on textual prompts of the design requirements. Compared to conventional methods dependent on heavy intellectual labor for innovative design and drawing, the proposed method substantially enhances the creativity and efficiency of the design process. It overcomes the problem of specified style difficulties in generating high-quality designs in traditional diffusion models. The research results indicated that: (1) the proposed method efficiently provides designers with diverse architectural designs; (2) new designs upon easily altered text prompts; (3) high scalability for designers to fine-tune it for applications in other design domains; and (4) an optimized architectural design workflow.

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Section: Significance Of Researchmentioning

confidence: 99%

Using Artificial Intelligence to Generate Master-Quality Architectural Designs from Text Descriptions

Chen,

Wang,

Shao

et al. 2023

Buildings

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“…The third reason is one of policy-making: Government land laws and regulations on zoning [48,49], environmental preservation [50][51][52], heritage [53][54][55], and building designs [44] often have a strong influence in the formation of housing market structure and housing prices. As such, a certain degree of compatibility with existing neighborhoods is often imposed on new developments in order to maintain structural homogeneity that is usually manifested in the forms of resident densities, aesthetic requirements, and considerations concerning local public interests.…”

Section: Literature Reviewmentioning

confidence: 99%

Factors Affecting Spatial Autocorrelation in Residential Property Prices

Chau

Wong

et al. 2022

Land

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Within housing literature, the presence of spatial autocorrelation (S.A.) in housing prices is typically examined horizontally in a two-dimensional setting. However, in the context of apartment buildings, there is also a vertical component of S.A. for housing units located on different floor levels. This paper therefore explores the determinants of both horizontal and vertical S.A. within residential property prices. First, we posit that S.A. in housing prices is a consequence of the price discovery process of real estate, in which property traders acquire price information from recent market transactions (i.e., comparables) to value a subject property. Furthermore, we contend that the extent to which property traders rely on comparables to determine housing prices is governed by the liquidity and volatility conditions of the market, which in turn affects the magnitude of the S.A. By developing and testing several spatial autoregressive hedonic models using open market transaction data for the Hong Kong residential property market, we find that market liquidity tends to increase both vertical and horizontal S.A., whilst market volatility is more prone to increase vertical S.A. but depress horizontal S.A.

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