DOI: 10.21950/hlf2us
title: Catalogue of residential buildings and classification according to seismic vulnerability in the city of Murcia (Spain).

description: &lt;p&gt;The residential building catalogue and seismic vulnerability classification is a supplementary dataset associated with the paper entitled “Classifying Buildings According to Seismic Vulnerability Using Cluster-ANN Techniques. Applied to the City of Murcia, Spain&lt;/p&gt;
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&lt;p&gt;The goal is to identify building patterns in construction typologies (CTs), related to both structural and non-structural elements that make up a building, called Building Typologies (BTs). The analysis identifies urban modifiers associated with different CTs, and using machine learning techniques, different building configurations are obtained, which are defined as Building Cluster Typologies (BCT).&lt;/p&gt;
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&lt;p&gt;The results of the BCT identification include the definition of BCT attributes, their representativeness in the study area, the spatial distribution and seismic vulnerability. 11 BCTs associated with 5 CTs are identified, as well as the distribution of seismic vulnerability ranges at the census section scale in the city of Murcia.&lt;/p&gt;
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&lt;p&gt;In conclusion, the identification of BCTs allows for exposure assessments that take into account the particular characteristics of buildings, grouped according to specific configurations, and facilitates future seismic vulnerability evaluations.&lt;/p&gt;
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&lt;p&gt;4. Description of the dataset&lt;/p&gt;
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&lt;p&gt;The dataset is the final data from the research titled: “Classifying Buildings According to Seismic Vulnerability Using Cluster-ANN Techniques. Applied to the City of Murcia, Spain.”&lt;/p&gt;
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&lt;p&gt;The database is the result of the identification of the different CTs and BCTs in the city of Murcia. The data is organized into 7631 records of residential buildings, which have urban modifier attributes associated with each CT. The combination of CTs and urban modifiers define the different BCTs. In total, for each building record (rows), a CT, the year of construction, ten urban modifiers, and the BCT identification result are associated (in columns).&lt;/p&gt;
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&lt;p&gt;In addition, the distribution of the Seismic Vulnerability Index (Iv) of the buildings at the census blocks scale is provided. The Iv is expressed in intervals. Minimum, maximum, and average values are provided.&lt;/p&gt;
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&lt;p&gt;1. Methodology&lt;/p&gt;
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&lt;p&gt;The methodology for obtaining the present database contains several steps:&lt;/p&gt;
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&lt;p&gt;1. Extraction of building data from the Spanish Cadastre (https://www.sedecatastro.gob.es/) and configuration of an initial database. &lt;/p&gt;
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&lt;p&gt;2. Identification of construction typologies (CT) using a typology membership probability matrix for Murcia (RISMUR, 2014). &lt;/p&gt;
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&lt;p&gt;3. Error detection and correction with remote field work.&lt;/p&gt;
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&lt;p&gt;4. Assignation of urban modifiers of the buildings in the study area (Martinez-Cuevas and Gaspar-Escribano 2016; Martinez-Cuevas et al., 2017) with remote field work in combination with different GIS processes (Lantada et. al. 2010). The coding of new attributes (urban modifiers) was done according to the GEM taxonomy (https://taxonomy.openquake.org/). &lt;/p&gt;
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&lt;p&gt;5. Application of a Two-Step Cluster analysis identify clusters. The resulting clusters (CTs with the corresponding urban modifiers) are called Building Cluster Typologies (BCT). The BCT field was assigned to every record of the database.&lt;/p&gt;
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&lt;p&gt;6. Assignation of vulnerability index (Iv) value to each building (Benedetti and Petrini, 1984; Angeletti et al., 1988; Milutinovic and Tredafiloski, 2003; Lagomarsino and Giovinazzi 2006) and calculation of the average Iv value for the census block level.&lt;/p&gt;
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&lt;p&gt;FILES&lt;/p&gt;
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&lt;p&gt;The dataset consists of two files in csv format. &lt;/p&gt;
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&lt;p&gt; -Buildings_01.csv: database with 7631 building records. Each record consists of an ID, centroid coordinates in ETRS_1989_UTM_Zone_30N and thirteen attributes.&lt;/p&gt;
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&lt;p&gt; -Iv_CB_02.csv: database with 158 records corresponding to the census blocks of the study area. Each record consists of an ID, centroid coordinates in ETRS_1989_UTM_Zone_30N, census block code and three attributes.&lt;/p&gt;
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description: This work is part of the activities of the TERRA Research Group (Geomatics, Natural Hazards and Risks) of Universidad Politécnica de Madrid.
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