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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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Edition | Availability |
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1
Visualizing the Data City: A New Foundation for Planning and Decision Making
2014, Springer International Publishing AG
in English
331902194X 9783319021942
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2
Visualizing the Data City: Social Media As a Source of Knowledge for Urban Planning and Management
2014, Springer London, Limited
in English
3319021958 9783319021959
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October 9, 2024 | Edited by MARC Bot | import existing book |
December 25, 2021 | Created by ImportBot | import new book |