In order to study the evacuation rules of high-rise residential buildings and analyze the effect of the family group evacuation model on the people evacuation, this paper takes a 30-storey residential building as an example, then uses the Pathfinder evacuation software to establish an evacuation model for high-rise residential building to conduct simulation research. The simulation results show that the synergy between family groups has a negative effect on the evacuation process and increases the evacuation time to a certain extent. Family groups occupy a larger area, which is difficult for other people to surpass or intersperse, and hamper the movement of individuals with high speed in the following, causing the increase of the crowd congestion time. In addition, compared with the simulation results of the family group assisting one person to evacuate and assisting two people to evacuate, it is found that the more vulnerable groups in the evacuated population, the more assisted the evacuation situation, and the longer the evacuation time. Furthermore, we obtain that the existence of obstacles in the front room of the stairs has both rectifying and blocking effects, which is related to the relative position of obstacles and stairs. When the obstacle is located at the edge of the stairwell, the rectifying effect of the obstacle occupies a dominant position, on the contrary, obstacles dominate.
[1]
Tao Chen,et al.
Experimental study on small group behavior and crowd dynamics in a tall office building evacuation
,
2017
.
[2]
H. E. Chandler,et al.
Technical writer's handbook
,
1982,
IEEE Transactions on Professional Communication.
[3]
Timo Korhonen,et al.
Fire Dynamics Simulator with Evacuation: FDS+Evac: Technical Reference and User's Guide
,
2009
.
[4]
Musong Gu,et al.
The effects of group and position vacancy on pedestrian evacuation flow model
,
2014
.
[5]
Jonathan D. Sime,et al.
Affiliative behaviour during escape to building exits
,
1983
.
[6]
Xiaolin Hu,et al.
Modeling group structures in pedestrian crowd simulation
,
2010,
Simul. Model. Pract. Theory.
[7]
Gerta Köster,et al.
On Modeling Groups in Crowds: Empirical Evidence and Simulation Results Including Large Groups
,
2014
.