This book investigates novel methods and technologies for the collection, analysis, and representation of real-time user-generated data at the urban scale in order to explore potential scenarios for more participatory design, planning, and management processes. For this purpose, the authors present a set of experiments conducted in collaboration with urban stakeholders at various levels (including citizens, city administrators, urban planners, local industries, and NGOs) in Milan and New York in 2012. It is examined whether geo-tagged and user-generated content can be of value in the creation of meaningful, real-time indicators of urban quality, as it is perceived and communicated by the citizens. The meanings that people attach to places are also explored to discover what such an urban semantic layer looks like and how it unfolds over time. As a conclusion, recommendations are proposed for the exploitation of user-generated content in order to answer hitherto unsolved urban questions. Readers will find in this book a fascinating exploration of techniques for mining the social web that can be applied to procure user-generated content as a means of investigating urban dynamics.
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From the book reviews:
"The authors present how social media interactions, like Twitter comments, Pickles reviews, and Foursquare check-ins, can help researchers and urban planners to analyze the urban space. ... There are numerous potentially captivating figures and tables illustrating the presented concepts and case studies. ... This book serves as a handy overview of this interesting emerging field." (D. Spinellis, Computing Reviews, July, 2014)
"The authors present how social media interactions, like Twitter comments, Pickles reviews, and Foursquare check-ins, can help researchers and urban planners to analyze the urban space. ... There are numerous potentially captivating figures and tables illustrating the presented concepts and case studies. ... This book serves as a handy overview of this interesting emerging field." (D. Spinellis, Computing Reviews, July, 2014)