We first performed a bulk mobility pattern analysis based on D1 and D2 by plotting the probability density function P ( Δ r ) of the individual travel distances (or jump sizes) Δr in a trace of agglomerated de-identified callers over a period of two weeks, for Ivory Coast (left plot, solid black line) and Portugal (right plot, solid black line), as shown in Figure 2A.
total costs of ownership, sum of all costs arising from the ownership of a car (car acquisition, fuel costs, insurance, maintenance, etc).. 13705_2013_65_MOESM1_ESM.docx Additional file 1: Mobility patterns, economic analysis, and additional results[81] [83].
Dr. Frey's analysis of mobility patterns found that while Hispanic and Asian immigrants were more likely to settle first in the nation's cities, "after they get settled, they follow the train to the suburbs".
We therefore turn next to an analysis of mobility patterns among likely unauthorized immigrants.
The first approach is the analysis of mobility patterns to model individuals and crowds, which has been used to identify concerts and sport events [8, 40].
The analysis of such mobility patterns and the understanding of how mobile nodes interact play a critical role when designing new routing protocols for DTNs.
Moreover, being a protocol which aims at reducing the impact of mobility, the analysis of different Mobility Patterns becomes inevitable while reasoning about routing specific parameters.
Some examples that make use of these data include the mathematical analysis of human mobility patterns (Cheng et al. 2011), new neighbourhood boundary definitions based on the characteristics of the people who commonly frequent them (Cranshaw et al. 2012) and the identification of events such as earthquakes (Crooks et al. 2013).
In developmental biology the representation of interactions among different genes as gene regulatory networks has been widely accepted [ 13- 17] and in social sciences the analysis of human mobility patterns using a human interaction network helped us shed light on the dynamics of our society [ 18].
The paper provides a comparative analysis of bicycle sharing spatial mobility patterns before, during, and after a disruption in public transportation system.
The innovative contribution of this paper is the special analysis of the changes in mobility patterns and GHG emissions during the economic crisis, when, for the first time, Spanish road traffic emissions decreased.
