RT Conference Proceedings T1 Spatial correlations between tourism indicators to identify neighbourhoods under touristification processes. Mediterranean port cities as case studies A1 Chamizo-Nieto, Francisco José A1 Nebot-Gómez-de-Salazar, Nuria A1 Rosa-Jiménez, Carlos A1 Reyes-Corredera, Sergio Jesús K1 Turismo urbano AB The present work aims to define spatial correlations between indicators based ontourism variables which are quantitative and qualitative in nature. The main objective isto identify neighbourhoods where there is a conflict of interest between residents,tourists, hosts, catering sector and other stakeholders involved because of urbantourism. The methodology proposed is based on static and dynamic variables –population, short-term rentals, regulated tourist accommodations, catering facilities,cultural equipment and citizen initiatives– to measure the degree of overtourism.Research instruments are web scraping, open access data from local and regionalgovernments, and most read local newspapers to create a database through GeographicInformation System (GIS). Data collection has been analysed on a case-by-case basiswith SPSS statistical treatment programme. These methods have been tested in threeport cities from the Mediterranean arc: Malaga, Valencia and Palma de Mallorca; whereaverage population is over half a million inhabitants. The key finding is the spatialcorrelations between indicators which show common patterns in the urban areasanalysed by GIS mapping. On that basis, touristification thresholds have beenestablished in order to measure "tourism gentrification" (Gotham, 2005) in-depth. Thediagnosis presented may serve as a road map for local and regional administration tostruggle with touristification through urban policy in the short- and medium-term.Furthermore, this work is open to new research considering new variables or redefiningthe existing ones, as well as new tourist destinations as case studies in order to build acomprehensive model which allows qualifying the scopes defined. YR 2021 FD 2021-09-15 LK https://hdl.handle.net/10630/23038 UL https://hdl.handle.net/10630/23038 LA eng NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech DS RIUMA. Repositorio Institucional de la Universidad de Málaga RD 4 mar 2026