@techreport{TD:7TBHE6,
	att_abstract={{Pervasive systems produce massive amounts of data
as by-products of their interaction with users. Cell phone calls
can inform us on how many people are present in a given area and
how many are entering or leaving it. Geotagged photos can tell us
where tourists go within the city and how much time they spend
in each place. Descriptions of events, products, and services allow
us to characterize places based on their most popular activities,
products, and services.
In this paper we illustrate a research agenda that aims at
developing a holistic framework for the study of urban traces
and the profiling of urban processes and their dynamics which
will enable us to better understand how cities function and to
develop more efficient urban policies. We also present the results
of a preliminary case study in New York City where we analyzed
the correlation between cell phone network handovers and traffic
volumes and between semantic indexes of public events and
local variations in cell phone activity. The results showed that
there exist causal relationships between these types of data, and
confirmed that there is strong promise in the holistic study of
urban traces.}},
	att_authors={ag1971},
	att_categories={},
	att_copyright={{IEEE}},
	att_copyright_notice={{This version of the work is reprinted here with permission of IEEE for your personal use. Not for redistribution. The definitive version was published in Proc. IEEE Conference on Intelligent Transportation Systems (ITSC),  2009. . {{, 2009-10-04}}
}},
	att_donotupload={},
	att_private={false},
	att_projects={},
	att_tags={Digital Footprints, Urban Dynamics, Urban Traces, Urban Processes},
	att_techdoc={true},
	att_techdoc_key={TD:7TBHE6},
	att_url={http://web1.research.att.com:81/techdocs_downloads/TD:7TBHE6_DS1_2010-08-18T15:40:19.861Z.pdf},
	author={Andrea Vaccari and Liang Liu and Assaf Biderman and Carlo Ratti and Francisco Pereira and Joao Oliveirinha, Universidade de Coimbra and Alexandre Gerber},
	institution={{in Proc. IEEE Conference on Intelligent Transportation Systems (ITSC)}},
	month={October},
	title={{A holistic framework for the study of urban traces and the profiling of urban processes and dynamics}},
	year=2009,
}