2022
DOI: 10.54055/ejtr.v32i.2627
|View full text |Cite
|
Sign up to set email alerts
|

Indicators for measuring tourism intensification in urban areas through their associative network: Case studies from the Spanish Mediterranean coast

Abstract: Clustering of tourism-related activities leads to tourism gentrification because of urban tourism. This study proposes a methodology for identifying pattern of tourism intensification in cities. The main objectives were to conduct an in-depth measurement of tourism intensification and to consider the conflict of interest between stakeholders involved. The proposed indicator system is based on several variables measured by neighbourhoods as territorial units: citizen initiatives, population and tourist accommod… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0
1

Year Published

2022
2022
2024
2024

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 9 publications
(10 citation statements)
references
References 13 publications
0
4
0
1
Order By: Relevance
“…These include an analysis of its connection with social issues, the polarization occurring within gentrified areas, the involvement of governmental entities, and the phenomenon of displacement. The most recent publication in journal "Sustainability", focused on the interrelationships of Touristification (tantamount with tourist gentrification) and conflicts of interest in tourist areas [21]. A new publication by Cities attempts to provide a scholarly analysis of the political and economic factors influencing the state's involvement in touristification in Lisbon [22].…”
Section: Assessment Of Contributing Journalsmentioning
confidence: 99%
“…These include an analysis of its connection with social issues, the polarization occurring within gentrified areas, the involvement of governmental entities, and the phenomenon of displacement. The most recent publication in journal "Sustainability", focused on the interrelationships of Touristification (tantamount with tourist gentrification) and conflicts of interest in tourist areas [21]. A new publication by Cities attempts to provide a scholarly analysis of the political and economic factors influencing the state's involvement in touristification in Lisbon [22].…”
Section: Assessment Of Contributing Journalsmentioning
confidence: 99%
“…En relación con Barcelona, algunas investigaciones evidencian la importancia del turismo en esta ciudad (Álvarez-Sousa, 2021;Chamizo-Nieto et al, 2023;Liberato et al, 2022;López-Gay et al, 2022;Sánchez-Aguilera & González-Pérez, 2021), en particular, en el centro de esta (Crespi-Vallbona & Domínguez-Pérez, 2021), lo que ha ocasionado el desplazamiento de los sectores más vulnerables en beneficio de los más acomodados. En las últimas décadas la industria turística mundial se ha visto transformada por un rápido crecimiento que ha llevado a muchos destinos -como Barcelona-a cuantificar y caracterizar el estado de Fuente: Generalitat de Catalunya (2019a).…”
Section: Barcelona Como Caso De Estudiounclassified
“…The proposed indicator system (see Table 2) is based on two sets of variables: sociodemographics (I1-3) and tourism intensification (I4-9). Despite the fact that the first three indicators defined do not in themselves measure the degree of tourism intensification, the last two have been considered in recent studies and show the following common urban pattern: the Airbnb offer spreads over those mainly residential areas where (1) protest and resistance movements have emerged against tourism gentrification [83], (2) there was a higher resident population before the eruption of P2P accommodation phenomenon [47], and (3) traditional accommodation such as hotels are in direct competition with shortterm rentals [30]. Thus, data have been aggregated by census tracts as territorial unit of analysis and standardised mainly taking into account the number of residents per 100,000 inhabitants, and just the surface area in hectares in the case of the population (I2) index.…”
Section: Indicator Systemmentioning
confidence: 99%