Mobility Data
Modeling, Management, and Understanding

This book surveys the myriad facets of monitoring people in motion, from spatio-temporal data modeling, to data aggregation and warehousing, to data analysis.

Chiara Renso (Edited by), Stefano Spaccapietra (Edited by), Esteban Zimányi (Edited by)

9781107021716, Cambridge University Press

Hardback, published 14 October 2013

378 pages, 95 b/w illus. 14 colour illus. 6 tables
24.2 x 16.2 x 2.4 cm, 0.69 kg

Mobility of people and goods is essential in the global economy. The ability to track the routes and patterns associated with this mobility offers unprecedented opportunities for developing new, smarter applications in different domains. Much of the current research is devoted to developing concepts, models, and tools to comprehend mobility data and make it manageable for these applications. This book surveys the myriad facets of mobility data, from spatio-temporal data modeling, to data aggregation and warehousing, to data analysis, with a specific focus on monitoring people in motion (drivers, airplane passengers, crowds, and even animals in the wild). Written by a renowned group of worldwide experts, it presents a consistent framework that facilitates understanding of all these different facets, from basic definitions to state-of-the-art concepts and techniques, offering both researchers and professionals a thorough understanding of the applications and opportunities made possible by the development of mobility data.

Part I. Mobility Data Modeling and Representation: 1. Trajectories and behavior representation: an overview Stefano Spaccapietra, Christine Parent and Laura Spinsanti
2. Trajectory collection and reconstruction Gerasimos Marketos, Maria Damiani, Nikos Pelekis, Yannis Theodoridis and Zhixian Yan
3. Trajectory databases Ralf Hartmut Güting, Christian Düntgen and Thomas Behr
4. Trajectory data warehousing Alejandro Vaisman and Esteban Zimányi
5. Mobility and uncertainty Claudio Silvestri, Esteban Zimányi and Alessandra Raffaetà
Part II. Mobility Data Understanding: 6. Mobility data mining Mirco Nanni
7. Understanding human mobility using mobility data mining Chiara Renso and Roberto Trasarti
8. Visual analytics of movement: a review of methods, tools, and procedures Natalia Andrienko and Gennady Andrienko
9. Mobility data and privacy Dino Pedreschi and Anna Monreale
Part III. Mobility Applications: 10. Car traffic monitoring Davy Janssens, Salvatore Rinzivillo and Mirco Nanni
11. Maritime applications Thomas Devogele, Laurent Etienne, Cyril Ray and Christophe Claramunt
12. Air traffic analysis Christophe Hurter, Gennady Andrienko, Natalia Andrienko, Ralf Güting and Mahmoud Sakr
13. Animal movement Stefano Focardi and Francesca Cagnacci
14. Person monitoring with Bluetooth tracking Mathias Versichele, Tijs Neutens and Nico Van de Weghe
Part IV. Future Challenges and Conclusions: 15. A complexity science perspective on human mobility Fosca Giannotti, Luca Pappalardo, Dino Pedreschi and Dashun Wang
16. Mobility and geo-social networks Laura Spinsanti, Michele Berlingerio and Luca Pappalardo
17. Conclusions Chiara Renso, Stefano Spaccapietra and Esteban Zimanyi.

Subject Areas: Data mining [UNF], Data warehousing [UND], Data capture & analysis [UNC], Databases [UN], Data analysis: general [GPH]