Mobility Data Science: Perspectives and Challenges
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.
- Published in:
ACM Transactions on Spatial Algorithms and Systems Flora; Sarwat - Type:
Article - Authors:
Mokbel, Mohamed and Sakr, Mahmoud and Xiong, Li and Züfle, Andreas and Almeida, Jussara and Anderson, Taylor and Aref, Walid and Andrienko, Gennady and Andrienko, Natalia and Cao, Yang and Chawla, Sanjay and Cheng, Reynold and Chrysanthis, Panos and Fei, Xiqi and Ghinita, Gabriel and Graser, Anita and Gunopulos, Dimitrios and Jensen, Christian S. and Joon-Seok, K. I. M. and Kim, Kyoung-Sook and Kröger, Peer and Krumm, John and Lauer, Johannes and Magdy, Amr and Nascimento, Mario and Ravada, Siva and Renz, Matthias and Sacharidis, Dimitris and Salim, Flora and Sarwat, Mohamed and Schoemans, Maxime and Shahabi, Cyrus and Speckmann, Bettina and Tanin, Egemen and Teng, Xu and Theodoridis, Yannis and Torp, Kristian and Trajcevski, Goce and van Kreveld, Marc and Wenk, Carola and Werner, Martin and Wong, Raymond and Song, W. U. and Xu, Jianqiu and Youssef, Moustafa and Zeinalipour, Demetris and Zhang, Mengxuan and Zimányi, Esteban - Year:
2024
Citation information
Mokbel, Mohamed and Sakr, Mahmoud and Xiong, Li and Züfle, Andreas and Almeida, Jussara and Anderson, Taylor and Aref, Walid and Andrienko, Gennady and Andrienko, Natalia and Cao, Yang and Chawla, Sanjay and Cheng, Reynold and Chrysanthis, Panos and Fei, Xiqi and Ghinita, Gabriel and Graser, Anita and Gunopulos, Dimitrios and Jensen, Christian S. and Joon-Seok, K. I. M. and Kim, Kyoung-Sook and Kröger, Peer and Krumm, John and Lauer, Johannes and Magdy, Amr and Nascimento, Mario and Ravada, Siva and Renz, Matthias and Sacharidis, Dimitris and Salim, Flora and Sarwat, Mohamed and Schoemans, Maxime and Shahabi, Cyrus and Speckmann, Bettina and Tanin, Egemen and Teng, Xu and Theodoridis, Yannis and Torp, Kristian and Trajcevski, Goce and van Kreveld, Marc and Wenk, Carola and Werner, Martin and Wong, Raymond and Song, W. U. and Xu, Jianqiu and Youssef, Moustafa and Zeinalipour, Demetris and Zhang, Mengxuan and Zimányi, Esteban: Mobility Data Science: Perspectives and Challenges, Flora; Sarwat, ACM Transactions on Spatial Algorithms and Systems, 2024, 10, 2, https://dl.acm.org/doi/10.1145/3652158, Mokbel.etal.2024a,
@Article{Mokbel.etal.2024a,
author={Mokbel, Mohamed and Sakr, Mahmoud and Xiong, Li and Züfle, Andreas and Almeida, Jussara and Anderson, Taylor and Aref, Walid and Andrienko, Gennady and Andrienko, Natalia and Cao, Yang and Chawla, Sanjay and Cheng, Reynold and Chrysanthis, Panos and Fei, Xiqi and Ghinita, Gabriel and Graser, Anita and Gunopulos, Dimitrios and Jensen, Christian S. and Joon-Seok, K. I. M. and Kim, Kyoung-Sook and Kröger, Peer and Krumm, John and Lauer, Johannes and Magdy, Amr and Nascimento, Mario and Ravada, Siva and Renz, Matthias and Sacharidis, Dimitris and Salim, Flora and Sarwat, Mohamed and Schoemans, Maxime and Shahabi, Cyrus and Speckmann, Bettina and Tanin, Egemen and Teng, Xu and Theodoridis, Yannis and Torp, Kristian and Trajcevski, Goce and van Kreveld, Marc and Wenk, Carola and Werner, Martin and Wong, Raymond and Song, W. U. and Xu, Jianqiu and Youssef, Moustafa and Zeinalipour, Demetris and Zhang, Mengxuan and Zimányi, Esteban},
title={Mobility Data Science: Perspectives and Challenges},
booktitle={Flora; Sarwat},
journal={ACM Transactions on Spatial Algorithms and Systems},
volume={10},
number={2},
url={https://dl.acm.org/doi/10.1145/3652158},
year={2024},
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...}}
