TY - GEN
T1 - Data-driven study of urban infrastructure to enable city-wide ubiquitous computing
AU - Thakur, Gautam S.
AU - Hui, Pan
AU - Helmy, Ahmed
PY - 2013
Y1 - 2013
N2 - Engineering a city-wide ubiquitous computing system requires a comprehensive understanding of urban infrastructure including physical motorways, vehicular traffic, and human activities. Many world cities were built at different time periods and with different purposes that resulted in diversified structures and characteristics, which have to be carefully considered while designing ubiquitous computing facilities. In this paper, we propose a novel technique to study global urban infrastructure, with enabling city-wide ubiquitous computing as the aim, using a massive data-driven network of planet-scale online web-cameras and a location-based online social network service, Foursquare. Our approach examines six metropolitan regions' infrastructure that includes more than 800 locations, 25 million vehicular mobility records, 220k routes, and two million Foursquare check-ins. We evaluate the spatio-temporal correlation in traffic patterns, examine the structure and connectivity in regions, and study the impact of human mobility on vehicular traffic to gain insight for enabling city-wide ubiquitous computing.
AB - Engineering a city-wide ubiquitous computing system requires a comprehensive understanding of urban infrastructure including physical motorways, vehicular traffic, and human activities. Many world cities were built at different time periods and with different purposes that resulted in diversified structures and characteristics, which have to be carefully considered while designing ubiquitous computing facilities. In this paper, we propose a novel technique to study global urban infrastructure, with enabling city-wide ubiquitous computing as the aim, using a massive data-driven network of planet-scale online web-cameras and a location-based online social network service, Foursquare. Our approach examines six metropolitan regions' infrastructure that includes more than 800 locations, 25 million vehicular mobility records, 220k routes, and two million Foursquare check-ins. We evaluate the spatio-temporal correlation in traffic patterns, examine the structure and connectivity in regions, and study the impact of human mobility on vehicular traffic to gain insight for enabling city-wide ubiquitous computing.
KW - Network science
KW - Urban infrastructure
KW - Vehicular traffic
UR - http://www.scopus.com/inward/record.url?scp=84890584918&partnerID=8YFLogxK
U2 - 10.1145/2501221.2501231
DO - 10.1145/2501221.2501231
M3 - Conference contribution
AN - SCOPUS:84890584918
SN - 9781450323246
T3 - Proc. of 2nd Int. Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2013 - Held in Conj. with SIGKDD 2013 Conf.
SP - 71
EP - 78
BT - Proc. of 2nd Int. Workshop on Big Data, Streams and Heterogeneous Source Mining
PB - Association for Computing Machinery
T2 - 2nd Int. Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2013 - Held in Conj. with SIGKDD 2013 Conf.
Y2 - 11 August 2013 through 11 August 2013
ER -
