000 03415nam a22005415i 4500
001 978-3-319-02195-9
003 DE-He213
005 20200421111848.0
007 cr nn 008mamaa
008 140217s2014 gw | s |||| 0|eng d
020 _a9783319021959
_9978-3-319-02195-9
024 7 _a10.1007/978-3-319-02195-9
_2doi
050 4 _aQA76.9.D343
072 7 _aUNF
_2bicssc
072 7 _aUYQE
_2bicssc
072 7 _aCOM021030
_2bisacsh
082 0 4 _a006.312
_223
100 1 _aCiuccarelli, Paolo.
_eauthor.
245 1 0 _aVisualizing the Data City
_h[electronic resource] :
_bSocial Media as a Source of Knowledge for Urban Planning and Management /
_cby Paolo Ciuccarelli, Giorgia Lupi, Luca Simeone.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aIX, 76 p. 24 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Applied Sciences and Technology,
_x2191-530X
505 0 _aIntroduction -- We Live in Informational Landscapes -- Depicting the Data City -- Methodological Framework -- Working in the Field -- Reflections on Potentialities and Shortcomings of Geo-Located Social Media Analysis -- List of Case Studies Used for Building the Matrix -- Excerpts from Conversations with Accurat, Lust and Mobivery.
520 _aThis 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.
650 0 _aComputer science.
650 0 _aData mining.
650 0 _aRegional planning.
650 0 _aUrban planning.
650 0 _aGraphic design.
650 1 4 _aComputer Science.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aLandscape/Regional and Urban Planning.
650 2 4 _aGraphic Design.
700 1 _aLupi, Giorgia.
_eauthor.
700 1 _aSimeone, Luca.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319021942
830 0 _aSpringerBriefs in Applied Sciences and Technology,
_x2191-530X
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-02195-9
912 _aZDB-2-SCS
942 _cEBK
999 _c55945
_d55945