Introduction:Navigation systems help us make decisions in environments. The outputs are route calculations on the basis of objective data. However, environments are perceived not only according to physical features but also in terms of their affective qualities (Russell, 2003). Information about the external world is translated into an internal affective state that indicates whether approach or withdrawal is required (Feldman Barrett et al., 2007). Hence, we argue that the affective perception of space moderates individual's decisions in space and thus also route decisions. However, route calculations on the basis of affective data about space, is a novel approach. Before we can provide this kind of user-centered navigation services, we first need to understand how urban space is perceived. This paper reports on results from quantitative and qualitative studies, conducted in the project EmoMap (funded by the BMVIT program line ways2go), exploring people’s emotions and affective qualities in response to urban space. Method:We assembled sets of emotions and affective qualities deriving from literature. A focus group selected all terms relevant to urban space and amended missing or inaccurate ones, resulting in two extended sets of 68 emotions and 67 affective qualities. Subsequently, online questionnaires were carried out, with the aim to reduce the sets of emotions and affective qualities to the most relevant terms. Participants were instructed to use a rating procedure to indicate frequency and importance of emotions or affective qualities for pedestrians in Vienna. Results & Discussion:Results of the online questionnaire on emotions (N=99) suggest that the most relevant positive emotions evoked in Vienna are in relation to the categories of excitement (e.g., feeling curious, interested, stimulated, inspired) and safety; whereas negative emotions refer to experiences of stress (e.g., tensed, rushed, confined). Results of the online questionnaires on affective qualities (N=102) suggest highest ratings for the positive categories of diversity, interest and attractiveness, and highest ratings of the negative affective qualities of traffic, noise and stress. In our research, we applied retrospective methods for obtaining information about subjective experiences in urban space. However, these methods are susceptible to cognitive biases. Hence, future work of the project EmoMap will focus on subjective experiences not only about space but in it. Affective data will be gathered georeferenced and in real-time. The future aim of the project is not only to gather a great number of affective space-data, but also to enrich navigation systems with them and therewith improve services for wayfinding.