Urban development and evolution of Valencian seaside destinations

Amaya, Alicia García; Cordovez, Rafael Ramón Temes; Simancas-Cruz, Moisés; Peñarrubia-Zaragoza, María Pilar

doi:10.4324/9781003140788-2

Cited by 1 publication

(1 citation statement)

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“…However, a higher correlation coefficient was expected despite the possible colinearity mentioned above. This moderate correlation might have been due to the limited growth of new hotel bed capacity in the old town since 2018 and the Russafa and Cabanyal-Canyamelar neighbourhoods from 2016 to 2018 and 2019 respectively (García-Amaya et al, 2021).…”

Section: Pearson Correlation Analysismentioning

confidence: 99%

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

Chamizo-Nieto¹,

Salazar²,

Jiménez³

et al. 2022

EJTR

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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 accommodations and facilities. All indicators were tested in two Spanish port cities: Malaga and Valencia. Geographic Information System mapping showed common patterns in both cities, such as tertiary use concentrated in the old town, new tourist offers around it, and emerging clusters far away. Statistical analysis showed a high spatial correlation between neighbourhoods with several citizen initiatives and a wide range of Airbnb listings or cultural facilities. The spatial analysis and correlations between tourism intensification indicators may serve as a basis for local administrations to propose an urban policy that deals with overtourism in the short and medium terms. This work serves as a basis for new research on urban tourism: redefinition and addition of variables, as well as further development of comparative case studies or field studies that check the datasets.

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Section: Pearson Correlation Analysismentioning

confidence: 99%