An Interpretive Ruination Model of the Built Heritage in Inner Areas: The Case Study of the Neighbourhood Granfonte in Leonforte

IF 2 0 HUMANITIES, MULTIDISCIPLINARY Heritage Pub Date : 2023-10-27 DOI:10.3390/heritage6110364
Deborah Sanzaro, Maria Rosa Trovato, Chiara Circo
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Abstract

In Italy, the current geography of abandonment is defined by the classification of the National Strategy of Inner Areas (NSIA). The support measures envisaged by the NSIA could contribute to reducing the marginality of inner areas and promote the protection, conservation, and enhancement of historic centres. In this perspective, actions on historical buildings should be selected based on a cognitive process aimed at specifying the phenomena that have led to the progressive abandonment of historical centres and a process aimed at identifying the values and dis-values. This research proposes a ruination model aimed at highlighting the risks that the built heritage of the inner areas are exposed to. This model was implemented for the case of the historic neighbourhood of Granfonte in Leonforte. The model was developed based on a qualitative–quantitative approach aimed at detecting the preservation state and built heritage use; analysing the building fabric development; identifying the ruination drivers; building a building units database; defining a ruination pattern of the building units based on a multivariate regression model; and analysing the predicted ruination scenario. The model can support decision-making processes aimed at the selection of actions to protect and preserve heritage built in marginal areas.
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内城区建筑遗产的解释性破坏模式——以莱昂福特街区格兰方特为例
在意大利,目前的弃置地理是由国家内部地区战略(NSIA)的分类确定的。NSIA设想的支助措施可有助于减少内陆地区的边缘化程度,并促进保护、保存和加强历史中心。从这个角度来看,对历史建筑的行动应该基于一个认知过程来选择,这个过程旨在明确导致历史中心逐渐被抛弃的现象,并旨在识别价值和非价值。本研究提出了一个破坏模型,旨在突出内部区域的建筑遗产所面临的风险。该模型在莱昂福特的Granfonte历史街区的案例中得到了实施。该模型基于定性定量方法,旨在检测建筑遗产的保存状态和使用情况;建筑织物发展分析;确定破坏驱动因素;建立建筑单元数据库;基于多元回归模型确定建筑单元的毁灭模式;并分析了预测的毁灭情景。该模型可以支持旨在选择保护和保存边缘地区遗产的行动的决策过程。
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来源期刊
Heritage
Heritage Multiple-
CiteScore
2.90
自引率
17.60%
发文量
165
审稿时长
10 weeks
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