Time-clustering Behaviors of Urban Fires

It has been found that many systems are characterized by scaling behavior. Time-scaling scale-invariant approaches are used to analyze the temporal distribution of urban fire sequences recorded in the city of Wuhan (China) in present paper. The results of the coefficient of variation show that there is a clustering distribution in the occurrence sequence of urban fire in Wuhan. And with the study of Fano factor and Allan factor for the urban fire sequences in Wuhan, it is found that the urban fire sequences have obviously time-scaling behaviors. These reveal that the point process of urban fires is a fractal process with a high degree of time-clusterization of the events. The results will be helpful to estimate urban fire risk.