دورية أكاديمية

Using automated design appraisal to model building-specific devaluation risk due to land-use change.

التفاصيل البيبلوغرافية
العنوان: Using automated design appraisal to model building-specific devaluation risk due to land-use change.
المؤلفون: Swietek, Adam R.
المصدر: Sustainable Cities & Society; Aug2024, Vol. 109, pN.PAG-N.PAG, 1p
مصطلحات موضوعية: ARCHITECTURAL design, BUILDING performance, ECONOMIC indicators, MARKET prices, VALUE at risk
مستخلص: • ADA learns preferences from market data and predicts price of newly generated building design. • Integrate ADA with 3D building simulation to study price gain and value at risk. • Changes to Visual Capital identify the exposure and financial sensitivity to land-use change. • Blueprint for integrating economic evaluation within site-selection, design optimization. Uncertainty of spillover effects – including property devaluation - from proposed land-use change elicits opposition to local development. This hinders cities' ability to implement land-use policy aimed at housing affordability and environmental sustainability. The uncertainty arises from the limitation of current methods to quantify both the physical exposure and financial sensitivity to changes in urban environmental characteristics and amenities. Hence, this paper introduces an integrated approach to quantify the direct and indirect effects of a proposed urban development, using parametric modeling, building performance simulation and automated design appraisal (ADA). ADA, a novel aspect of this study, predicts the market price of a generated building design concept within a local urban context. To demonstrate its practical utility, this paper examines property value at risk due to nearby development associated with changes to visual landscape quality. The results shed light on the importance and spatial variability of the price-amenity gradient, identifying properties that are financially at risk to the visual impacts of local development. Beyond building-specific risk modeling for the development planning stage, this work serves as a blueprint for architectural design optimization procedures, in which economic performance is evaluated based on learned preferences derived from financial market data. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Supplemental Index
الوصف
تدمد:22106707
DOI:10.1016/j.scs.2024.105529