Mapping Urban Practices Through Mobile Phone Data (Paperback, 2015 ed.)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	PoliMI SpringerBriefs
Release date:	February 2015
First published:	2015
Authors:	Paola Pucci • Fabio Manfredini • Paolo Tagliolato
Dimensions:	235 x 155 x 5mm (L x W x T)
Format:	Paperback
Pages:	90
Edition:	2015 ed.
ISBN-13:	978-3-319-14832-8
Categories:	Books > Business & Economics > Economics > Political economy Books > Professional & Technical > Technology: general issues > Engineering: general Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS) Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing Books > Earth & environment > Regional & area planning > Urban & municipal planning > General Books > Computing & IT > Applications of computing > Databases > Data mining
LSN:	3-319-14832-X
Barcode:	9783319148328

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!