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
With society’s increasing participation in social media, scientists now have access to new sources o...
Festivals and big scale events are becoming more and more popular, they can attract thousands of spe...
PhDResearchers have examined crowd behaviour in the past by employing a variety of methods including...
This is the final published version, also available from The Royal Society via the DOI in this recor...
Being able to infer the number of people in a specific area is of extreme importance for the avoidan...
This is the final version. Available from SAGE Publications via the DOI in this record. Measuring th...
In this paper, the authors show that structured social media data can act as an accurate predictor f...
City-scale events attract large amounts of attendees in temporarily re-purposed urban environments. ...
In this paper, the authors show that structured social media data can act as an accurate predictor ...
In the last decade, mobile phones and mobile devices using mobile cellular telecommunication networ...
A real-time understanding of the behavior of pedestrian crowds in physical spaces is important for c...
As truly ubiquitous wearable computers, mobile phones are quickly becoming the primary source for so...
[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 letter, the authors show that structured social media data can act as an accurate predictor ...
With society’s increasing participation in social media, scientists now have access to new sources o...
Festivals and big scale events are becoming more and more popular, they can attract thousands of spe...
PhDResearchers have examined crowd behaviour in the past by employing a variety of methods including...
This is the final published version, also available from The Royal Society via the DOI in this recor...
Being able to infer the number of people in a specific area is of extreme importance for the avoidan...
This is the final version. Available from SAGE Publications via the DOI in this record. Measuring th...
In this paper, the authors show that structured social media data can act as an accurate predictor f...
City-scale events attract large amounts of attendees in temporarily re-purposed urban environments. ...
In this paper, the authors show that structured social media data can act as an accurate predictor ...
In the last decade, mobile phones and mobile devices using mobile cellular telecommunication networ...
A real-time understanding of the behavior of pedestrian crowds in physical spaces is important for c...
As truly ubiquitous wearable computers, mobile phones are quickly becoming the primary source for so...
[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 letter, the authors show that structured social media data can act as an accurate predictor ...
With society’s increasing participation in social media, scientists now have access to new sources o...
Festivals and big scale events are becoming more and more popular, they can attract thousands of spe...
PhDResearchers have examined crowd behaviour in the past by employing a variety of methods including...