麻豆淫院

The collective motion of large crowds may be predictable past a certain density of people in a given area, according to a study in Nature. The findings, based on four years of observations at a traditional Spanish festival, offer insights that could help to predict dangerous crowd behavior in confined environments.

Dense crowds, such as those at concerts or festivals, can be a major hazard as hundreds of individuals can move en masse, leading to crushing, potential suffocation and death. Understanding how people in large crowds move in relation to each other can help prevent tragedy, but the dynamics in groups containing thousands of people have been difficult to describe or model especially due to the lack of repeatable and safe experiments at such a scale.

Denis Bartolo and colleagues tracked the crowds of an estimated 5,000 people over four instances of the San Ferm铆n festival in Pamplona, Spain, using cameras placed in two observation spots in the plaza, which is 50 meters long and 20 meters wide. Through their footage and a mathematical model鈥攚here people are so packed that crowds can be treated as a continuum, like a fluid鈥攖he authors found that the density of the crowds changed from two people per square meter in the hour before the festival began to six people per square meter during the event.

They also found that the crowds could reach a maximum density of 9 people per square meter. When this upper threshold density was met, the authors observed pockets of several hundred people spontaneously behaving like one fluid that oscillated in a predictable time interval of 18 seconds with no external stimuli (such as pushing).

To establish the general nature of their findings, the authors compare footage from the San Ferm铆n festival in Spain to that from the 2010 Duisburg Love Parade in Germany during which several hundred people in a panicked crowd were injured and 21 people died. Bartolo and colleagues found that when the Duisburg crowd reached a density similar to that of the San Ferm铆n festival, the same oscillations were observed.

The authors note that these findings could offer insights into how to anticipate the behavior of large crowds in confined spaces.