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A methodology to identify and classify centres based on mobility data was applied to Metropolitan Stockholm in Sweden using multi-modal public transport passenger flows.
The use of social media traces as a proxy for human movements has been extensively investigated in the literature [34 38], however, a comprehensive and quantitative assessment of their predictive power at different granularities and under cross-validation when compared out-of-sample against official mobility data was still lacking.
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The mobility data were extracted from two different MD techniques as a function of temperature and misorientation.
In a first step, mobility licenses and mobility data were collected with the help of travel diaries including specific information on travel accompaniment.
Growth and mobility data were used for simulation of irradiation protocols in a commercial facility (10 MeV e-beam linear accelerator) using radiation theory.
Ion mobility data are described by the amount of time an ion spends in the drift cell, which is directly related to an ion's collision cross section (CCS).
Dielectric spectra were obtained at frequencies between 1 kHz and 40 MHz with a new, two-electrode cell design [Hollingsworth and Saville, J. Colloid Interface Sci. 257 (2003) 65 76]; mobility data were acquired with an electrophoretic light scattering instrument.
The calculated mobility data are then employed to identify with whom people were most likely to interact and the degree to which they were socially connected with particular groups of society (social networks), and integrated within society as a whole.
The model can do things like rapidly predict how a new development or telecommuting policy would affect overall transportation, or it could be a new tool for planning at a town level where little mobility data is available, says Margaret Martonosi, a computer scientist at Princeton who is working on the model.
A sample for the model is built when more than three consecutive days of mobility data are available.
This implies that a hybrid gravity model can be successfully applied even in places where no official mobility data is available.
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