Individual Mobility Patterns in Urban Environment
Pierpaolo Mastroianni, Bernardo Monechi, Vito D. P. Servedio, Carlo Liberto, Gaetano Valenti, Vittorio Loreto
2016
Abstract
The understanding and the characterization of individual mobility patterns in urban environments is important in order to improve liveability and planning of big cities. In relatively recent times, the availability of data regarding human movements have fostered the emergence of a new branch of social studies, with the aim to unveil and study those patterns thanks to data collected by means of geolocalization technologies. In this paper we analyze a large dataset of GPS tracks of cars collected in Rome (Italy). Dividing the drivers in classes according to the number of trips they perform in a day, we show that the sequence of the traveled space connecting two consecutive stops shows a precise behavior so that the shortest trips are performed at the middle of the sequence, when the longest occur at the beginning and at the end when drivers head back home. We show that this behavior is consistent with the idea of an optimization process in which the total travel time is minimized, under the effect of spatial constraints so that the starting points is on the border of the space in which the dynamics takes place.
References
- Octotelematics. https://www.octotelematics.com/en/. Accessed: 2014-10-03.
- Bazzani, A., Giorgini, B., Rambaldi, S., Gallotti, R., and Giovannini, L. (2010). Statistical laws in urban mobility from microscopic gps data in the area of florence. Journal of Statistical Mechanics: Theory and Experiment, 2010(05):P05001.
- Brockmann, D., Hufnagel, L., and Geisel, T. (2006). The scaling laws of human travel. Nature, 439(7075):462- 465.
- Calabrese, F., Diao, M., Di Lorenzo, G., Ferreira, J., and Ratti, C. (2013). Understanding individual mobility patterns from urban sensing data: A mobile phone trace example. Transportation research part C: emerging technologies, 26:301-313.
- Colizza, V., Barrat, A., Barthélemy, M., Valleron, A. J., and Vespignani, A. (2007). Modeling the worldwide spread of pandemic influenza: Baseline case and containment interventions. PLOS MEDICINE, 4(1):95- 110.
- Eluru, N., Sener, I., Bhat, C., Pendyala, R., and Axhausen, K. (2009). Understanding residential mobility: joint model of the reason for residential relocation and stay duration. Transportation Research Record: Journal of the Transportation Research Board, (2133):64-74.
- Eubank, H., Guclu, S., Kumar, V. S. A., Marathe, M., Srinivasan, A., Toroczkai, Z., and Wang, N. (2004).
- Controlling Epidemics in Realistic Urban Social Networks. Nature, 429.
- Flood, M. M. (1956). The traveling-salesman problem. Operations Research, 4(1):61-75.
- Gallotti, R. (2013). Statistical Physics and Modelling of Human Mobility. PhD thesis, Physics Department, University of Bologna.
- Gallotti, R., Bazzani, A., and Rambaldi, S. (2012). Towards a statistical physics of human mobility. International Journal of Modern Physics C, 23(09):1250061.
- Gallotti, R., Bazzani, A., and Rambaldi, S. (2015). Understanding the variability of daily travel-time expenditures using gps trajectory data. EPJ Data Science, 4(1):1-14.
- Gonzalez, M. C., Hidalgo, C. A., and Barabasi, A.-L. (2008). Understanding individual human mobility patterns. Nature, 453(7196):779-782.
- Gonzalez-Bailon, S. (2013). Social Science in the Era of Big Data. Social Science Research Network Working Paper Series.
- Lazer, D., Pentland, A., Adamic, L., Aral, S., Barabási, A.- L., Brewer, D., Christakis, N., Contractor, N., Fowler, J., Gutmann, M., Jebara, T., King, G., Macy, M., Roy, D., and Van Alstyne, M. (2009). Computational social science. Science, 323(5915):721-723.
- Mastroianni, P., Monechi, B., Liberto, C., Valenti, G., Servedio, V. D. P., and Loreto, V. (2015). Local optimization strategies in urban vehicular mobility. PLoS ONE, 10(12):e0143799.
- Mayer-Schonberger, V. and Cukier, K. (2013). Big Data: A Revolution That Will Transform How We Live, Work, and Think. Houghton Mifflin Harcourt, Boston.
- Rambaldi, S., Bazzani, A., Giorgini, B., , and Giovannini, L. (2007). Mobility in modern cities: Looking for physical laws. In Proceedings of the European Conference on Complex Systems, Dresden. ECCS07.
- Rubinstein, I. S. (2013). Big Data: The End of Privacy or a New Beginning? International Data Privacy Law. im Erscheinen, NYU School of Law, Public Law Research Paper Nr. 12-56.
- Simini, F., González, M. C., Maritan, A., and Barabási, A.- L. (2012). A universal model for mobility and migration patterns. Nature, 484(7392):96-100.
- Song, C., Koren, T., Wang, P., and Barabasi, A.-L. (2010). Modelling the scaling properties of human mobility. Nature Physics, 6(10):818-823.
- Tene, O. and Polonetsky, J. (2012). Big Data for All: Privacy and User Control in the Age of Analytics. Northwestern Journal of Technology and Intellectual Property.
- Treiber, M. and Kesting, A. (2013). Traffic flow dynamics. Traffic Flow Dynamics: Data, Models and Simulation, Springer-Verlag Berlin Heidelberg.
- Wang, X.-W., Han, X.-P., and Wang, B.-H. (2014). Correlations and scaling laws in human mobility. PLoS ONE, 9(1):e84954.
Paper Citation
in Harvard Style
Mastroianni P., Monechi B., Servedio V., Liberto C., Valenti G. and Loreto V. (2016). Individual Mobility Patterns in Urban Environment . In Proceedings of the 1st International Conference on Complex Information Systems - Volume 1: COMPLEXIS, ISBN 978-989-758-181-6, pages 81-88. DOI: 10.5220/0005907000810088
in Bibtex Style
@conference{complexis16,
author={Pierpaolo Mastroianni and Bernardo Monechi and Vito D. P. Servedio and Carlo Liberto and Gaetano Valenti and Vittorio Loreto},
title={Individual Mobility Patterns in Urban Environment},
booktitle={Proceedings of the 1st International Conference on Complex Information Systems - Volume 1: COMPLEXIS,},
year={2016},
pages={81-88},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005907000810088},
isbn={978-989-758-181-6},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 1st International Conference on Complex Information Systems - Volume 1: COMPLEXIS,
TI - Individual Mobility Patterns in Urban Environment
SN - 978-989-758-181-6
AU - Mastroianni P.
AU - Monechi B.
AU - Servedio V.
AU - Liberto C.
AU - Valenti G.
AU - Loreto V.
PY - 2016
SP - 81
EP - 88
DO - 10.5220/0005907000810088