Record Display for the EPA National Library Catalog

RECORD NUMBER: 18 OF 32

OLS Field Name OLS Field Data
Main Title Mapping Urban Practices Through Mobile Phone Data [electronic resource] /
Type EBOOK
Author Pucci, Paola.
Other Authors
Author Title of a Work
Manfredini, Fabio.
Tagliolato, Paolo.
Publisher Springer International Publishing : Imprint: Springer,
Year Published 2015
Call Number GA1-1776
ISBN 9783319148335
Subjects Geography. ; Data mining. ; Geographical information systems. ; Engineering economy. ; Regional economics.
Internet Access
Description Access URL
http://dx.doi.org/10.1007/978-3-319-14833-5
Collation VIII, 90 p. 33 illus., 12 illus. in color. online resource.
Notes
Due to license restrictions, this resource is available to EPA employees and authorized contractors only
Contents Notes
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.