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Aalto-Foursquare
The dataset consists of about 15 million of tweets which point to public Foursquare check-ins. -
Open data from NervousNet
This dataset contains anonymized proximity information sent by 154 mobile phones (both Android and iPhone) via phone apps. These information are sent by bluetooth beacons every...-
ZIP
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ZIP
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Micro Project Datasets: Academic Migration and Academic Networks
Datasets used and produced for and from the micro project titled: Academic Migration and Academic Networks: Evidence from Scholarly Big Data and the Iron Curtain-
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Activity data from the Covid19 period
Activity data from Telia telecommunications company, Finland reports the number of people dwelling in area for a certain amount of time. More precisely, activity count... -
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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Micro Project Experiments: Academic Migration and Academic Networks
The experiments and results material for the micro project titled Academic Migration and Academic Networks: Evidence from Scholarly Big Data and the Iron Curtain-
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Self-Rated Health Among Italian Immigrants Living in Norway: A Cross-Sectiona...
Most of the respondents (69%) rated their Health as “good” or “very good”. This figure was not significantly different with the Norwegian population, nor to the Italians... -
Private 64-tiles tessellation of Chicago
Squared tessellation of the city center of Chicago, Illinois, into 64 tiles. Tessellation only of the central part of Chicago, namely the neighborhoods 'LOOP', 'NEAR SOUTH... -
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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Analysis of GPS data to assess changes in mobility routines during the COVID-...
Non-Pharmaceutical Interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, have dramatically influenced our everyday behaviour. In this experiment, we... -
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... -
Python library for direct and indirect discrimination prevention in data mining
This python library implements the discrimination discovery and prevention method proposed in the paper: “A methodology for direct and indirect discrimination prevention in...-
GitHub
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GitHub
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Deep Gravity model
Deep Gravity is an effective model to generate flow probabilities that exploits many features (e.g., land use, road network, transport, food, health facilities) extracted from... -
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...-
GitHub
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GitHub
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STS-EPR - Trajectory generator
Modelling human mobility is crucial in several scientific areas, from urban planning to epidemic modeling, traffic forecasting, and what-if analysis. Existing models focus on...-
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text/x-python
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