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Mapping urban practices through mobi...

Manfredini, Fabio.

Mapping urban practices through mobile phone data

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mapping urban practices through mobile phone databy Paola Pucci, Fabio Manfredini, Paolo Tagliolato.
Author:	Pucci, Paola.
other author:	Manfredini, Fabio.
Published:	Cham :Springer International Publishing :2015.
Description:	viii, 90 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Data mining.
Online resource:	http://dx.doi.org/10.1007/978-3-319-14833-5
ISBN:	9783319148335 (electronic bk.)

Mapping urban practices through mobile phone data
Pucci, Paola.

Mapping urban practices through mobile phone data[electronic resource] /by Paola Pucci, Fabio Manfredini, Paolo Tagliolato. - Cham :Springer International Publishing :2015. - viii, 90 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in applied sciences and technology, PoliMI SpringerBriefs,2191-530X. - SpringerBriefs in applied sciences and technology. |p PoliMI SpringerBriefs..

Mobility 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.

This 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.

ISBN: 9783319148335 (electronic bk.)

Standard No.: 10.1007/978-3-319-14833-5doiSubjects--Topical Terms:

184440
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Mapping urban practices through mobile phone data
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100 1 $a Pucci, Paola. $3 714131
245 1 0 $a Mapping urban practices through mobile phone data $h [electronic resource] / $c by Paola Pucci, Fabio Manfredini, Paolo Tagliolato.
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300 $a viii, 90 p. : $b ill. (some col.), digital ; $c 24 cm.
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505 0 $a Mobility 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.
520 $a This 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.
650 0 $a Data mining. $3 184440
650 0 $a Cell phone systems. $3 455911
650 0 $a Geospatial data. $3 339520
650 1 4 $a Geography. $3 174760
650 2 4 $a Geographical Information Systems/Cartography. $3 273999
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Regional/Spatial Science. $3 338471
650 2 4 $a Engineering Economics, Organization, Logistics, Marketing. $3 274009
650 2 4 $a Urban Geography / Urbanism (inc. megacities, cities, towns). $3 714135
700 1 $a Manfredini, Fabio. $3 714132
700 1 $a Tagliolato, Paolo. $3 714133
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