LEADER 03967nam 22007695 450 001 9910299442503321 005 20250822180220.0 010 $a3-319-14833-8 024 7 $a10.1007/978-3-319-14833-5 035 $a(CKB)3710000000359107 035 $a(EBL)1998190 035 $a(SSID)ssj0001452062 035 $a(PQKBManifestationID)11801487 035 $a(PQKBTitleCode)TC0001452062 035 $a(PQKBWorkID)11478731 035 $a(PQKB)10840971 035 $a(DE-He213)978-3-319-14833-5 035 $a(MiAaPQ)EBC1998190 035 $a(PPN)184495385 035 $a(EXLCZ)993710000000359107 100 $a20150218d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMapping Urban Practices Through Mobile Phone Data /$fby Paola Pucci, Fabio Manfredini, Paolo Tagliolato 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (94 p.) 225 1 $aPoliMI SpringerBriefs,$x2282-2585 300 $aDescription based upon print version of record. 311 08$a3-319-14832-X 320 $aIncludes bibliographical references and indexes. 327 $aMobility practices and mobile phone data -- Mobile phone data to describe urban dynamics: an overview in the literature -- Daily mobility practices through mobile phone data: an application in Lombardy region -- Implications on traditional data sources -- Implications on the urban and mobility policy. 330 $aThis book explains the potential value of using mobile phone data to monitor urban practices and identify rhythms of use in today?s cities. Drawing upon research conducted in the Italian region of Lombardy, the authors demonstrate how maps based on mobile phone data, which are better tailored to the dynamic processes at work in cities, can document urban practices, provide new insights into spatial and temporal patterns of mobility, and assist in recognizing different communities of practice. The described methodology permits detailed visualization of the spatial distribution of mobility flows and offers a more extensive and refined description of the distribution of urban activity than is provided by traditional travel surveys. The book also details how maps derived by processing mobile phone data can assist in the definition of urban policies that will deliver services that match cities? needs, facilitate the management of large events (inflow, outflow, and monitoring), and reflect time-dependent phenomena not included in traditional analyses. 410 0$aPoliMI SpringerBriefs,$x2282-2585 606 $aGeographic information systems 606 $aData mining 606 $aRegional economics 606 $aSpace in economics 606 $aIndustrial management 606 $aSociology, Urban 606 $aGeographical Information System 606 $aData Mining and Knowledge Discovery 606 $aRegional and Spatial Economics 606 $aIndustrial Management 606 $aUrban Sociology 615 0$aGeographic information systems. 615 0$aData mining. 615 0$aRegional economics. 615 0$aSpace in economics. 615 0$aIndustrial management. 615 0$aSociology, Urban. 615 14$aGeographical Information System. 615 24$aData Mining and Knowledge Discovery. 615 24$aRegional and Spatial Economics. 615 24$aIndustrial Management. 615 24$aUrban Sociology. 676 $a910.285 700 $aPucci$b Paola$4aut$4http://id.loc.gov/vocabulary/relators/aut$034900 702 $aManfredini$b Fabio$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aTagliolato$b Paolo$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910299442503321 996 $aMapping Urban Practices Through Mobile Phone Data$92520572 997 $aUNINA