The Use of Network Theory in Heritage Cities

Please use this identifier to cite or link to this item:
Información del item - Informació de l'item - Item information
Title: The Use of Network Theory in Heritage Cities
Authors: Oliver, Jose-Luis | Agryzkov, Taras | Tortosa, Leandro | Vicent, Jose F. | Santacruz Cutillas, Javier
Research Group/s: Análisis y Visualización de Datos en Redes (ANVIDA)
Center, Department or Service: Universidad de Alicante. Departamento de Expresión Gráfica y Cartografía | Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial
Keywords: Data visualization | Historic value | Spatial analysis | Urban networks
Knowledge Area: Composición Arquitectónica | Ciencia de la Computación e Inteligencia Artificial
Issue Date: Jan-2017
Publisher: World Academy of Science, Engineering and Technology (WASET)
Citation: International Journal of Civil, Environmental, Structural, Construction and Architectural Engineering. 2017, 11(1): 21-26
Abstract: This paper aims to demonstrate how the use of Network Theory can be applied to a very interesting and complex urban situation: The parts of a city which may have some patrimonial value, but because of their lack of relevant architectural elements, they are not considered to be historic in a conventional sense. In this paper, we use the suburb of La Villaflora in the city of Quito, Ecuador as our case study. We first propose a system of indicators as a tool to characterize and quantify the historic value of a geographic area. Then, we apply these indicators to the suburb of La Villaflora and use Network Theory to understand and propose actions.
ISSN: 1307-6892
Language: eng
Type: info:eu-repo/semantics/article
Rights: Creative Commons Attribution (CC BY) license
Peer Review: si
Publisher version:
Appears in Collections:INV - ANVIDA - Artículos de Revistas

Files in This Item:
Files in This Item:
File Description SizeFormat 
Thumbnail2017_Oliver_etal_WASET.pdf464,4 kBAdobe PDFOpen Preview

This item is licensed under a Creative Commons License Creative Commons