Human Mobility Modelling: Exploration and Preferential Return Meet the Gravity Model

Modeling the properties of individual human mobility is a challenging task that has received increasing attention in the last decade. Since mobility is a complex system, when modeling individual human mobility one should take into account that human movements at a collective level influence, and are influenced by, human movement at an individual level. In this paper the authors propose the d-EPR model, which exploits collective information and the gravity model to drive the movements of an individual and the exploration of new places on the mobility space. They implement their model to simulate the mobility of thousands synthetic individuals, and compare the synthetic movements with real trajectories of mobile phone users and synthetic trajectories produced by a prominent individual mobility model. The authors show that the distributions of global mobility measures computed on the trajectories produced by the d-EPR model are much closer to empirical data, highlighting the importance of considering collective information when simulating individual human mobility.

• Record URL:
  https://doi.org/10.1016/j.procs.2016.04.188
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1877050916302216
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/18770509
• Supplemental Notes:
  • © 2016 Luca Pappalardo et al. Published by Elsevier B.V. 5th International Workshop on Agent-based Mobility, Traffic and Transportation Models, Methodologies and Applications (ABMTRANS)
• Authors:
  • Pappalardo, Luca
  • Rinzivillo, Salvatore
  • Simini, Filippo
• Publication Date: 2016

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: pp 934-939
• Serial:
  • Procedia Computer Science
  • Volume: 83
  • Publisher: Elsevier
  • ISSN: 1877-0509
  • Serial URL: http://www.sciencedirect.com/science/journal/18770509
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Forecasting; Mobility; Simulation; Transportation planning
• Subject Areas: Planning and Forecasting; Transportation (General);

Filing Info

• Accession Number: 01603969
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 30 2016 9:20AM