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People's subjective response to any thermal environment is commonly investigated by using rating scales describing the degree of thermal sensation, comfort, and acceptability. Subsequent analyses of results collected in this way rely on the assumption that specific distances between verbal anchors placed on the scale exist and that relationships between verbal anchors from different dimensions that are assessed (e.g. thermal sensation and comfort) do not change. Another inherent assumption is that such scales are independent of the context in which they are used (climate zone, season, etc.). Despite their use worldwide, there is indication that contextual differences influence the way the scales are perceived and therefore question the reliability of the scales’ interpretation. To address this issue, a large international collaborative questionnaire study was conducted in 26 countries, using 21 different languages, which led to a dataset of 8225 questionnaires. Results, analysed by means of robust statistical techniques, revealed that only a subset of the responses are in accordance with the mentioned assumptions. Significant differences appeared between groups of participants in their perception of the scales, both in relation to distances of the anchors and relationships between scales. It was also found that respondents’ interpretations of scales changed with contextual factors, such as climate, season, and language. These findings highlight the need to carefully consider context-dependent factors in interpreting and reporting results from thermal comfort studies or post-occupancy evaluations, as well as to revisit the use of rating scales and the analysis methods used in thermal comfort studies to improve their reliability.My individual contribution: Runa T. Hellwig: Conceptualization, Methodology, Visualization, Writing - Original Draft \ my contribution like all authors Investigation, Writing - Review & Editing, ResourcesInvestigation, Writing - Review & Editing, ResourcesRuna T. Hellwig: Conceptualization,Methodology, Visualization, Writing - Original DraftRuna T. Hellwig: Conceptualization,Methodology, Visualization, Writing - Original DraftRuna T. Hellwig: Conceptualization,Methodology, Visualization, Writing - Original DraftAuthor statementAll authors: Investigation, Writing - Review & Editing, Resources Marcel Schweiker: Conceptualization,Methodology, Visualization, Formal analysis, Writing - Original Draft Rucha Amin: Conceptualization,Methodology Susanne Becker: Conceptualization, Methodology, Writing - Original Draft Joon-Ho Choi:Conceptualization, Methodology Chungyoon Chun: Conceptualization, Methodology Lyrian Daniel:Writing - Original Draft Renata De Vecchi: Writing - Original Draft Stephanie Gauthier:Conceptualization, Methodology, Writing - Original Draft Runa T. Hellwig: Conceptualization,Methodology, Visualization, Writing - Original Draft Gesche M Huebner: Conceptualization,Methodology, Writing - Original Draft Jungsoo Kim: Conceptualization, Methodology Jakub Kolarik:Writing - Original Draft M.C. Jeffrey Lee: Conceptualization, Methodology Karin Schakib-Ekbatan:Conceptualization, Methodology Despoina Teli: Conceptualization, Methodology Conrad Voelker:Writing - Original Draft

The aim of this research was to implement a geographical information system with multi-criteria decision making methods, to select the most feasible location for installing wind power plants in continental Ecuador. In addition, a standardization process was performed, which consists of establishing an overall performance index to evaluate the results. Finally, the Pearson correlation coefficient is used to analyze mutual correspondence between multi-criteria decision making methods. In this research, different selection criteria which include meteorological parameters (wind speed, air density), relief (slope), location (distances to substations, road network, urban areas, transmission lines, charging ports) and environmental parameters (vegetation coverage), have been considered. The results of this research revealed that the site with the highest overall performance index is the Andean region of Ecuador, with an area of more than 617.5 km 2 . The outcome of the overall performance index indicates that the four selected multi-criteria decision making methods provided similar results, where the value was equal to or greater than 75% of the maximum punctuation of an ideal location. In this context, the methods analyzed converge to similar solutions and indicate that the multi-criteria decision making method is a powerful tool for selecting ideal locations for wind farms.