Depopulation has become a significant issue for local culture and built heritage conservation of many European rural areas. In San Giovanni Lipioni, a province of Chieti (Italy), this phenomenon has increased to the point that, nowadays, there are only 150 inhabitants and no significant economic activities. In this regard, the present paper aims to describe the crucial role of nature-oriented tourism in an economic, social, and revitalization strategy; how digital tools can be used to map and create a territorial trail system between municipalities; and, finally, outline the operations necessary for reactivation. The proposed methodology consists of a first digital survey phase using GPS receivers and outdoor navigation apps. The second phase would create a web platform with a system of virtual itineraries between villages, named “The Golden Leaves Paths”. After that, the last phase concerns the creation of analysis factsheets to guide the maintenance of paths and the design of iconic signage with artistic illustrations based on the oak leaves leitmotif to be installed along the paths. A local social promotion association will employ the outcomes, technical drawings, and strategies to reactivate paths as an attractive element for nature-oriented tourism and create a digital platform to foster the village’s territorial and cultural heritage.
Adapting outdated building stocks’ operations to meet current environmental and economic demands poses significant challenges that, to be faced, require a shift toward digitalization in the architecture, engineering, construction, and operation sectors. Digital tools capable of acquiring, structuring, sharing, processing, and visualizing built assets’ data in the form of knowledge need to be conceptualized and developed to inform asset managers in decision-making and strategic planning. This paper explores how building information modeling and building performance simulation technologies can be integrated into digital decision support systems (DSS) to make building data accessible and usable by non-digital expert operators through user-friendly services. The method followed to develop the digital DSS is illustrated and then demonstrated with a simulation-based application conducted on the heritage case study of the Faculty of Engineering in Bologna, Italy. The analysis allows insights into the building’s energy performance at the space and hour scale and explores its relationship with the planned occupancy through a data visualization approach. In addition, the conceptualization of the DSS within a digital twin vision lays the foundations for future extensions to other technologies and data, including, for example, live sensor measurements, occupant feedback, and forecasting algorithms.
The residential heritage that was built during the great expansion of real estate after the Second World War has severe deficiencies in structural safety, fire resistance, energy efficiency, and accessibility and these cannot be solved with sustainable renovation measures. This study focuses on replacement interventions and promotes a management model that addresses three areas (technical, social, and economic) and it refers to the application of the circularity principle to the construction sector for the goal of climate neutrality by 2050. The final objective is to define a protocol—namely, the guidelines—to reference in a decision-making process that promotes urban regeneration by comparing demolition with reconstruction and renovation. The proposed methodology allows for the determination of suitable areas in Bologna for replacement and the joining of the municipal geodatabase with data from archival research on building permits in 1949–1965 by using GIS software. This digital archive can be implemented in a digital twin for an urban block, which can become a predictive tool for urban planning and the management of the whole life of a building. The main result is the characterization of urban blocks by identifying typical features belonging to specific building libraries that are validated with density analyses. These urban clusters and building archetypes can be used to assess targeted intervention measures by using specific tools, such as predictive maps and 3D city models.
Abstract. The paper describes an operational working methodology to be applied for surveys with phase-shift laser scanning, which allows defining a guidelines system to optimize in-field data collection. While reducing the number of scan positions still using the same quality, it is possible to obtain smaller files, in order to limit the computational requirements during editing and post-production. Nonetheless, this methodology guarantees results that are qualitatively comparable to the standard data collection process. Consequently, the angle ranges have been analyzed to find a value that guarantees for the survey a point cloud lighter and more manageable and, at the same time, that maintains a reasonable accuracy. Subsequently, two parameters were defined, “redundancy” and “closeness”, to find an operational process that allows to schematize what is usually achieved with the help of experience in the field: to evaluate the minimum number of scan points that can ensure the necessary overlap for optimal coverage of the entire building surveyed. After defining the study of the ideal situation, the model is applied in a case study, situated in a densely built context, typical of European historical urban centers: the main façade of the G. Ciamician Institute of Chemistry of the University of Bologna (Italy).
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