TripBuilder is a mobile service helping tourists to build their own personalized sightseeing tour of a city. Given a targeted touristic area, the time available for the visit,...

Carpooling, i.e., the act where two or more travelers share the same car for a common trip, is one of the possibilities brought forward to reduce traffic and its...

It is a general method to determine the influence of social and mobility behavior over a specific geographical area in order to evaluate to what extent the current...

Non-Pharmaceutical Interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, have dramatically influenced our everyday behaviour. In this experiment, we...

Our method analyzes the potential impact of carpooling as a collective phenomenon emerging from people׳s mobility, by network analytics. Based on big mobility data from...

We used the mobility-emission methods (https://data.d4science.org/ctlg/ResourceCatalogue/mobility-emissions) to perform experiments on real GPS trajectories describing 433,272...

GeoSim, proposed by Toole et al. [1], is a mechanistic generative model for human mobility. GeoSim takes into account the social dimension between individuals during the...

This method is a fast and flexible approach to estimate privacy risk in human mobility data. The idea is to train classifiers to capture the relation between individual...

The framework provides a visual interface to a series of analytical processes for the comprehension of human mobility patterns. The framework is feeded with a series of models...

The increasingly crucial role of human displacements in complex societal phenomena, such as traffic congestion, segregation, and the diffusion of epidemics, is attracting the...

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...

The Sociometer is an analytical framework based on data mining methods that analizes users’ call habits, and classifies people into behavioral categories, among residents,...

This method provides the sql-postgis query to calculate the Origin-Destination matrix starting from a geometry table and a set of GPS trajectories. This kind of matrix, which...

An event classification package.

In this experiment we simulate the mobility of individuals in New York City, London, and Tokyo, using STS-EPR. For each city, we compare the synthetic trajectories generated...

Ordering points to identify the clustering structure (OPTICS) is an algorithm for finding density-based clusters in spatial data. Its basic idea is similar to DBSCAN, but it...

Non-Pharmaceutical Interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, have dramatically influenced our everyday behaviour. This method allows to...

This resource consists of a visual analytics framework and a set of supporting tools for deriving place meaning and reconstructing personal mobility diaries from episodic...

A collection of methods (relying on the scikit-mobility and OSMnx Python libraries) to compute emissions starting from vehicles' mobility trajectories. In particular, methods...

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...