Analysis of the Gentrification Phenomenon Using GIS to Support Local Government Decision Making

Orellana-Alvear, Boris; Calle-Jimenez, Tania

doi:10.1007/978-3-030-51328-3_48

Cited by 4 publications

(1 citation statement)

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“…Open source ArcGIS 10.8 software is used to enter the different data combined in a model created for case study analysis [28]. The data obtained for the analysis of social aspects was mostly from the Instituto Nacional de Estadística-INE [Spanish Statistical Office] [24] whose data coincide with those found in the Instituto de Estadística y Cartografía de Andalucía-IECA [Institute of Statistics and Cartography of Andalusia], as well as the Municipal Census and Municipal Register for the city of Seville, made available by the Statistics Service of the Ayuntamiento de Sevilla [29].…”

Section: Methodsmentioning

confidence: 99%

Analysis of Touristification Processes in Historic Town Centers: The City of Seville

Herruzo-Domínguez,

Aladro-Prieto,

Rey-Pérez

2023

Architecture

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Encouraged by the administration, the gen9otrification process has been useful in economic terms for the reactivation of the socio-cultural fabrics of historic urban spaces in decline. What was initially considered an advantage has led to the touristification of historic centers, and in turn to the alteration of their original use. In these settings, the demographic void caused by increasingly shunning local identity has combined with pressure from excessive tourism and the obsolescence of heritage protection bodies in charge of conservation. Given the crisis affecting the definitions of the current system, this study aims to review the environmental agents of heritage value in relation to the processes of touristification and gentrification. Data obtained from different methodologies are analyzed using a multidisciplinary database, a model which enables the analysis of the relevant information from the different interacting fields. This case study focuses on the historic town center of Seville, specifically between 2015 and 2020. Elements are defined as indicators for these processes and the analysis of this case study will comprise the main results of this research.

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Section: Methodsmentioning

confidence: 99%