Sunday, August 27, 2017
Urban Emotions - Integrating Emotion Measurements into Urban Planning Processes
Suggested by: Bernd Resch
Short description: How people in the city perceive their surroundings depends on a variety of dynamic and static context factors such as road traffic, the feeling of safety, urban architecture, etc. Such subjective and context-dependent perceptions can trigger different emotions which enable additional insights into spatial and temporal configuration of urban structures.
This thesis aims to assess the public's perception of the Quality of Life (QoL) a city in terms of safety, traffic, environment, etc. This shall be achieved by correlating emotion measurements (physiological sensing) with citizens' subjective impressions ("People as Sensors") and emotion information extracted from crowdsourced data (VGI - Twitter, Flickr, Instagram). The results of this anthropocentric analysis can be applied in urban planning and management to take appropriate measures for more citizen-centric planning.
Literature: Resch, B., Summa, A., Sagl, G., Zeile, P. and Exner, J.-P. (2015) Urban Emotions - Geo-semantic Emotion Extraction from Technical Sensors, Human Sensors and Crowdsourced Data. In: Gartner, G. and Haosheng Huang (eds.) (2015) Progress in Location-Based Services 2014, Springer International Publishing, Switzerland, pp. 199-212.
Tonkin, E., Pfeiffer, H. D., Tourte, G. (2012): Twitter, Information Sharing and the London Riots? Bulletin of the American Society for Information Science and Technology 38/2: 49-57
Resch, B. (2013) People as Sensors and Collective Sensing - Contextual Observations Complementing Geo-Sensor Network Measurements. In: Krisp, J. (2013) Advances in Location-Based Services, ISBN 978-3-642-34202-8, Springer, Berlin Heidelberg, pp. 391-406.
Prerequisites/qualifications: experience with analysing VGI, preferably background in empirical studies and knowledge in spatio-temporal geo-analysis