Effect of pedestrian judgement on evacuation efficiency considering hesitation

Baobao Zou, Chunxia Lu, Shirong Mao and Yi Li

Physica A: Statistical Mechanics and its Applications, 2020, vol. 547, issue C

Abstract: In this paper, we propose a modification of cellular automata models by introducing the local density field and the hesitation time cost to study the effect of pedestrian judgement of the environment on evacuation. Some studies have employed the surrounding density to describe the decision-making process, while we believe that the anticipation of pedestrians’ moving direction within the visual range has a great impact on evacuation. In addition, the hesitation time cost can be used to illustrate the loss of payoff in the conflict game. Simulation results show that either the presence of too many cooperators or defectors in the evacuation group is not conducive to the safe evacuation. The time cost is the least when the number of cooperators is almost equal to the one of defectors. It is found that heterogeneous pedestrian speeds can improve the evacuation efficiency to a certain extent. The total evacuation time can be reduced if 20% of the pedestrians slow down. Moreover, the vision radius is an essential factor of the evacuation. The evacuation time is the shortest when the radius is about 4 cells.

Keywords: Pedestrian judgement; Visual range; Hesitation; Cellular automata; Conflict (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S037843711931667X
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:547:y:2020:i:c:s037843711931667x

DOI: 10.1016/j.physa.2019.122943

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().