The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.12 - December (2011 vol.44)
pp: 63-68
Laura Ferrari , University of Modena and Reggio Emilia, Italy
Marco Mamei , University of Modena and Reggio Emilia, Italy
ABSTRACT
Researchers can use kernel density estimation to analyze spatiotemporal data from mobile devices to uncover human mobility patterns in urban spaces. Such analysis can support various applications ranging from location-based services to urban planning.
INDEX TERMS
Mobility patterns, Urban and environmental planning, Social dynamics, Data mining, Mobile applications
CITATION
Laura Ferrari, Marco Mamei, "Discovering City Dynamics through Sports Tracking Applications", Computer, vol.44, no. 12, pp. 63-68, December 2011, doi:10.1109/MC.2011.136
REFERENCES
1. M. Massimi et al., , "Understanding Recording Technologies in Everyday Life," IEEE Pervasive Computing, July-Sept. 2010, pp. 64-71.
2. F. Zambonelli, "Pervasive Urban Crowdsourcing: Visions and Challenges," Proc. 2011 IEEE Int'l Conf. Pervasive Computing and Comm. Workshops (PerCom 11 Workshops), IEEE, 2011, pp. 578-583.
3. F.A. Twaroch, C.B. Jones, and A.I. Abdelmoty, "Acquisition of a Vernacular Gazetteer from Web Sources," Proc. 1st Int'l Workshop Location and the Web (LocWeb 08), ACM, 2008, pp. 61-64.
4. C.M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006.
5. P. Timothée et al., "A Network-Based Kernel Density Estimator Applied to Barcelona Economic Activities," Proc. 2010 Int'l Conf. Computational Science and Its Applications (ICCSA 10), LNCS 6016, Springer, 2010, pp. 32-45.
6. D.R. Tabangin, J.C. Flores, and N.F. Emperador, "Investigating Crime Hotspot Places and Their Implication to Urban Environmental Design: A Geographic Visualization and Data Mining Approach," Proc. World Academy of Science, Eng., and Technology, Dec. 2008, pp. 16-24.
7. Y. Zheng and X. Xie, "Learning Travel Recommendations from User-Generated GPS Traces," ACM Trans. Intelligent Systems and Technology, Jan. 2011, article no. 2; http://research.microsoft.com/pubs/131039 p1-zheng.pdf.
8. F. Girardin et al., "Digital Footprinting: Uncovering Tourists with User-Generated Content," IEEE Pervasive Computing, Oct.-Dec. 2008, pp. 36-43.
9. L. Hollenstein and R. Purves, "Exploring Place through User-Generated Content: Using Flickr to Describe City Cores," J. Spatial Information Science, no. 1, 2010, pp. 21-48.
10. M. Piórkowski, "Sampling Urban Mobility through On-Line Repositories of GPS Tracks," Proc. 1st ACM Int'l Workshop Hot Topics of Planet-Scale Mobility Measurements (HotPlanet 09), article no. 1, ACM, 2009.
11. A. Kaltenbrunner et al., "Bicycle Cycles and Mobility Patterns—Exploring and Characterizing Data from a Community Bicycle Program," Computing Research Repository, 2008; http://arxiv.org/abs0810.4187.
12. J. Froehlich, J. Neumann, and N. Oliver, "Sensing and Predicting the Pulse of the City through Shared Bicycling," Proc. 21st Int'l Joint Conf. Artificial Intelligence (IJCAI 09), Morgan Kaufmann, 2009, pp. 1420-1426.
19 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool