A Fuzzy Logic-Based Model for Measuring Perception of Urban Spaces During Walking Experience

The perception of urban spaces during walking experiences is influenced by an individual’s social conditions, personal characteristics, and the spatial features of the route being walked. This study proposes a methodological approach that focuses on the individual and spatial factors affecting perception of urban spaces during walking experiences, incorporating subjective data that influence perception. The aim of this research is to measure both qualitative and quantitative data that affect the perception of urban spaces during the walking experience in a comprehensive and systematic manner, using fuzzy logic. Within the scope of the research, a field survey was conducted with 25 university students in Değirmendere Yalı Neighbourhood (Kocaeli) and Bahçelievler Neighbourhood (Yalova), and the data obtained from the survey were analysed using the fuzzy logic method to test the applicability and validity of the method. The results of the analysis performed using the fuzzy logic model showed that individual factors affecting the perception of urban space during the walking experience, the walkability characteristics of the space, and the perceptual characteristics of the space can be comprehensively evaluated using the fuzzy logic method, and that the perception of urban spaces can be measured quantitatively.