EPJ Data Science: Thematic Series on Individual and Collective Human Mobility: Description, Modelling, Prediction
- Published on Saturday, 06 May 2017 21:12
The widespread diffusion of personal electronic devices, like smartphones and GPS handsets, which are capable to collect detailed information about the trajectories and activities of millions of individuals with an unprecedented spatiotemporal resolution, has provided researchers with an accurate probe to quantitatively investigate complex collective phenomena arising from the interactions of many individuals, such as spreading processes, the development of urban systems, traffic congestions. The availability of these large and detailed datasets has generated a new interest for human mobility in various disciplines including applied mathematics, statistical physics, data mining and computer science, transport engineering, urban geography, social sciences and economics.
The body work produced by this interdisciplinary effort can be broadly divided into three main topics that are often intertwined:
i) Description: discovery of patterns and general statistical laws in human mobility data, as well as identifying relationships between human mobility, human activity and socio-economic interactions; ii) Modelling: develop generative models of individual and collective human mobility to explain the emergent patterns; iii) Prediction: forecast and nowcast human mobility and related phenomena.
This special issue aims at collecting contributions on the recent advances in human mobility description, modelling and prediction, as well as presenting novel interdisciplinary applications. This issue welcomes submissions of high quality articles containing original research results and survey articles of exceptional merit.
Potential topics include, but are not limited to:
- Human trajectories: generative models, next location prediction
- Individual activity patterns: activity-based models, mobility motifs
- Human mobility and spreading processes
- Human mobility and social networks
- Spatial flows: trip demand estimation, commute flows, migration flows
- Traffic: congestion and road usage, optimal vehicle routing, traffic forecast
- Pedestrian dynamics: crowd dynamics, indoor and short distance mobility
- Shared mobility: public transport, car and ride sharing, self-organised mobility
- Human mobility and nowcasting (unemployment, well-being, dynamic population mapping)
- Human mobility and smart cities, multi-modal mobility
Lead guest editor: Filippo Simini, University of Bristol, UK
Guest editors: Gourab Ghoshal, University of Rochester, USA Luca Pappalardo, University of Pisa, Italy Michael Szell, Hungarian Acad. of Sci., Hungary Philipp Hövel, Institute of Theoretical Physics of TU Berlin, Germany
Submission deadline: 31 December 2017
Submission guideline: Before submission, authors should carefully read over the submission guidelines, which are located at https://epjdatascience.springeropen.com/submission-guidelines. Prospective authors should submit an electronic copy of their complete manuscript through the SpringerOpen submission system according to the submission schedule. They should choose the correct Thematic Series in the “sections” box upon submitting. In addition, they should specify the manuscript as a submission to the “Thematic Series on Individual and Collective Human Mobility: Description, Modelling, Prediction” in the cover letter. All submissions will undergo initial screening by the Guest Editors for fit to the theme of the Thematic Series.