Extracting Information from an Urban Network by Combining a Visibility Index and a City Data Set

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/92167
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Title: Extracting Information from an Urban Network by Combining a Visibility Index and a City Data Set
Authors: Agryzkov, Taras | Oliver, Jose-Luis | Tortosa, Leandro | Vicent, Jose F.
Research Group/s: Análisis y Visualización de Datos en Redes (ANVIDA)
Center, Department or Service: Universidad de Alicante. Departamento de Expresión Gráfica, Composición y Proyectos | Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial
Keywords: Urban networks | Visibility index | Dataset | Isovists
Knowledge Area: Composición Arquitectónica | Ciencia de la Computación e Inteligencia Artificial
Issue Date: 23-May-2019
Publisher: MDPI
Citation: Agryzkov T, Oliver JL, Tortosa L, Vicent JF. Extracting Information from an Urban Network by Combining a Visibility Index and a City Data Set. Symmetry. 2019; 11(5):704. doi:10.3390/sym11050704
Abstract: Cities can be represented by spatial networks, and the mathematical structure that defines a spatial network is a graph. Taking into account this premise, this paper is focused on analysing information on an urban scale by combining a new ray-casting visibility index with a data set of the urban street network. The visibility index provides information about the most visible buildings or areas. We relate this index with other data extracted from the city, with the aim of generating and analysing information about urban elements. To corroborate this idea, real data are analysed. The dataset is related to the heritage conservation of the buildings of the Villaflora suburb, located in the city of Quito (Ecuador). This information is processed, together with the visibility index, with the aim of determining the conservation degree of the urban areas most visually exposed to pedestrians or visitors. The combination of both values—heritage conservation and visibility index—is carried out by means of two new indices, IP and IN , which are defined using two-variable exponential functions.
Sponsor: This research is partially supported by the Spanish Government, Ministerio de Economía y Competividad, grant number TIN2017-84821-P.
URI: http://hdl.handle.net/10045/92167
ISSN: 2073-8994
DOI: 10.3390/sym11050704
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Peer Review: si
Publisher version: https://doi.org/10.3390/sym11050704
Appears in Collections:INV - ANVIDA - Artículos de Revistas

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