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An Approach for Tackling the Risk of the Residential Building Stocks at the Urban Scale Exploiting Spatial and Typological Archive Data

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Innovation in Urban and Regional Planning (INPUT 2021)

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 146))

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Abstract

Today, the concept of risk is increasingly entering the broad scope of environmental and spatial planning, including the exposure of the existing building stocks to seismic risk. In a structural vulnerability assessment at the urban or regional scale, the first step is the identification of recurring structural typologies and their characteristic features. We propose a novel procedure for gathering and classifying typological, constructive and structural data which are relevant in terms of building performance (seismic and structural vulnerability, energy performance, serviceability) from different sources. The data have been gathered at different levels of detail, both for structural and typological components, using the CARTIS scheme developed as part of the ReLUIS 2018–2021 project. The procedure has been tested in the town of Bisceglie, in Italy. This approach aims to offer a new interpretative model of urban settlements allowing a definition of classes of different typology useful for investigating building performance. The method provided the implementation of a rapid analysis procedure useful for defining the characteristics of the existing building stocks with regard to different performance requirements. In this sense, the model is suitable for integrating planning approaches for energy and environmental risk at the urban scale.

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Correspondence to V. Leggieri .

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Uva, G., Leggieri, V., Mastrodonato, G. (2021). An Approach for Tackling the Risk of the Residential Building Stocks at the Urban Scale Exploiting Spatial and Typological Archive Data. In: La Rosa, D., Privitera, R. (eds) Innovation in Urban and Regional Planning. INPUT 2021. Lecture Notes in Civil Engineering, vol 146. Springer, Cham. https://doi.org/10.1007/978-3-030-68824-0_19

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  • DOI: https://doi.org/10.1007/978-3-030-68824-0_19

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  • Print ISBN: 978-3-030-68823-3

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