Abstract
This chapter introduces the ‘Urban Emotions’ approach. It focuses on integrating humans’ emotional responses to the urban environment into planning processes. The approach is interdisciplinary and anthropocentric, i.e. citizens and citizens’ perceptions are highlighted in this concept. To detect these emotions/perceptions, it combines methods from spatial planning, geoinformatics and computer linguistics to give a better understanding of how people perceive and respond to static and dynamic urban contexts in both time and geographical space. For collecting and analyzing data on the emotional perception to urban space, we use technical and human sensors as well as georeferenced social media posts, and extract contextual emotion information from them. The resulting novel information layer provides an additional, citizen-centric perspective for urban planners. In addition to technical and methodological aspects, data privacy issues and the potential of wearables are discussed in this chapter. Two case studies demonstrate the transferability of the approach into planning processes. This approach will potentially reveal new insights for the perception of geographical spaces in spatial planning.
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Acknowledgments
The authors would like to express their gratitude to the German Research Foundation (DFG—Deutsche Forschungsgemeinschaft) for supporting the project Urban Emotions, reference number ZE 1018/1-1 and RE 3612/1-1. This research has been supported by the Klaus Tschira Stiftung GmbH. We would also like to thank Linda Dörrzapf, Anja Summa, Martin Sudmanns, Daniel Broschart, Johann Wilhelm, Claire Dodd and Dennis J. Groß for their support.
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Zeile, P., Resch, B., Exner, JP., Sagl, G. (2015). Urban Emotions: Benefits and Risks in Using Human Sensory Assessment for the Extraction of Contextual Emotion Information in Urban Planning. In: Geertman, S., Ferreira, Jr., J., Goodspeed, R., Stillwell, J. (eds) Planning Support Systems and Smart Cities. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-18368-8_11
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