Being able to infer the number of people in a specific area is of extreme importance for the avoidance of crowd disasters and to facilitate emergency evacuations. Here, using a football stadium and an airport as case studies, we present evidence of a strong relationship between the number of people in restricted areas and activity recorded by mobile phone providers and the online service Twitter. Our findings suggest that data generated through our interactions with mobile phone networks and the Internet may allow us to gain valuable measurements of the current state of society
There is a need for event organizers and emergency response personnel to detect emerging, potentiall...
Human mobility behavior emerging in social events involving huge masses of individuals bears potenti...
An automatic estimate of the number of attendees to events happening in the city can provide valuabl...
Being able to infer the number of people in a specific area is of extreme importance for the avoidan...
This is the final published version, also available from The Royal Society via the DOI in this recor...
This is the final version. Available from SAGE Publications via the DOI in this record. Measuring th...
City-scale events attract large amounts of attendees in temporarily re-purposed urban environments. ...
A real-time understanding of the behavior of pedestrian crowds in physical spaces is important for c...
In this letter, the authors show that structured social media data can act as an accurate predictor ...
Festivals and big scale events are becoming more and more popular, they can attract thousands of spe...
In this paper, the authors show that structured social media data can act as an accurate predictor ...
[EN] This paper discusses how datasets based on mobile phone usage were used to understand populatio...
Accurate spatiotemporal information on crowds is a necessity for a better management in general and ...
In this paper, the authors show that structured social media data can act as an accurate predictor f...
Some recent research projects, inspired by the widespread availability of sensor-provided smartphone...
There is a need for event organizers and emergency response personnel to detect emerging, potentiall...
Human mobility behavior emerging in social events involving huge masses of individuals bears potenti...
An automatic estimate of the number of attendees to events happening in the city can provide valuabl...
Being able to infer the number of people in a specific area is of extreme importance for the avoidan...
This is the final published version, also available from The Royal Society via the DOI in this recor...
This is the final version. Available from SAGE Publications via the DOI in this record. Measuring th...
City-scale events attract large amounts of attendees in temporarily re-purposed urban environments. ...
A real-time understanding of the behavior of pedestrian crowds in physical spaces is important for c...
In this letter, the authors show that structured social media data can act as an accurate predictor ...
Festivals and big scale events are becoming more and more popular, they can attract thousands of spe...
In this paper, the authors show that structured social media data can act as an accurate predictor ...
[EN] This paper discusses how datasets based on mobile phone usage were used to understand populatio...
Accurate spatiotemporal information on crowds is a necessity for a better management in general and ...
In this paper, the authors show that structured social media data can act as an accurate predictor f...
Some recent research projects, inspired by the widespread availability of sensor-provided smartphone...
There is a need for event organizers and emergency response personnel to detect emerging, potentiall...
Human mobility behavior emerging in social events involving huge masses of individuals bears potenti...
An automatic estimate of the number of attendees to events happening in the city can provide valuabl...