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Private Internal migration and mobile communication patterns among pairs with strong ...
Using large-scale call detail records of anonymised mobile phone service subscribers with demographic and location information, we investigate how a long-distance residential... -
Micro Project Methods: Academic Migration and Academic Networks
Methods used for the micro-project titled: Academic Migration and Academic Networks: Evidence from Scholarly Big Data and the Iron Curtain-
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Private TraffiCO2: a simulative framework to assess navigation systems' impact on CO2...
TraffiCO2 is a simulation framework to assess the impact of GPS navigation apps on urban well-being in terms of carbon dioxide (CO2) emissions. TraffiCO2 uses GPS data to... -
Private Connected vehicle simulation framework for parking occupancy prediction
This work demonstrates a simulation framework that collects data about connected vehicles' locations and surroundings in a realistic traffic scenario. Our focus lies on the... -
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Changes of mobility routines during the COVID-19 pandemic
Non-Pharmaceutical Interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, have dramatically influenced our everyday behaviour. This method allows to... -
Generating Synthetic Mobility Networks with Generative Adversarial Networks
The increasingly crucial role of human displacements in complex societal phenomena, such as traffic congestion, segregation, and the diffusion of epidemics, is attracting the... -
Analysis of changes in visits to public venues during the COVID-19 pandemic
The non-pharmaceutical interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, has dramatically influenced our behaviour in everyday life. We developed... -
Mobility-emissions
A collection of methods (relying on the scikit-mobility and OSMnx Python libraries) to compute emissions starting from vehicles' mobility trajectories. In particular, methods...-
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Privacy Risk on Trajectories
This method provides a Privacy Risk Assessment on mobility data, in terms of trajectories or aggregation of trajectories, i.e., locations with frequency of visit and locations...-
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Python
