Mobility Data Science: Perspectives and Challenges
Mokbel, M., Sakr, M., Xiong, L. , Züfle, A., Almeida, J., Anderson, T., Aref, W., Andrienko, G. 
ORCID: 0000-0002-8574-6295, Andrienko, N. ORCID: 0000-0003-3313-1560, Cao, Y., Chawla, S., Cheng, R., Chrysanthis, P., Fei, X., Ghinita, G., Graser, A., Gunopulos, D., Jensen, C. S., KIM, J-S., Kim, K-S., Kröger, P., Krumm, J., Lauer, J., Magdy, A., Nascimento, M., Ravada, S., Renz, M., Sacharidis, D., Salim, F., Sarwat, M., Schoemans, M., Shahabi, C., Speckmann, B., Tanin, E., Teng, X., Theodoridis, Y., Torp, K., Trajcevski, G., van Kreveld, M., Wenk, C., Werner, M., Wong, R., WU, S., Xu, J., Youssef, M., Zeinalipour, D., Zhang, M. & Zimányi, E. (2024).
Mobility Data Science: Perspectives and Challenges.
ACM Transactions on Spatial Algorithms and Systems, 10(2),
pp. 1-35.
doi: 10.1145/3652158
Abstract
Mobility data captures the locations of moving objects such as humans, animals, and cars. With the availability of GPS-equipped mobile devices and other inexpensive location-tracking technologies, mobility data is collected ubiquitously. In recent years, the use of mobility data has demonstrated significant impact in various domains including traffic management, urban planning, and health sciences. In this paper, we present the domain of mobility data science. Towards a unified approach to mobility data science, we present a pipeline having the following components: mobility data collection, cleaning, analysis, management, and privacy. For each of these components, we explain how mobility data science differs from general data science, we survey the current state of the art, and describe open challenges for the research community in the coming years.
| Publication Type: | Article |
|---|---|
| Additional Information: | © Author | ACM 2024. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ACM Transactions on Spatial Algorithms and Systems, https://doi.org/10.1145/3652158 |
| Subjects: | G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology |
| Departments: | School of Science & Technology School of Science & Technology > Computer Science |
| SWORD Depositor: |
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