journal article·2026-03-01Open access

Effect of elderly passenger distribution on A320 aircraft evacuation under dual-engine fire scenarios

Xu Zhao, Ying Xia, Chenyang Zhang, Tianchang Meng, Gaobo Yang, Hua Chen, Yu Zhang

AIP Advances· Volume 16· Issue 3

Abstract

With the growing number of elderly air travelers, ensuring their safety during emergency evacuation has become an important concern. This study examines how the proportion and spatial distribution of elderly passengers influence evacuation outcomes in an Airbus A320 under a dual-engine fire scenario. A total of 27 simulation scenarios were created by combining three cabin layouts, three elderly to nonelderly ratios, and three spatial distribution patterns. A full-scale cabin model was developed using Rhino 3D and simulated in Pathfinder to reflect realistic movement behaviors. The results show that none of the scenarios met the 90-s evacuation requirement, with the fastest case requiring 141 s. Higher elderly ratios and poor seating arrangements led to longer evacuation times and uneven exit usage. These findings emphasize the need for age-sensitive modeling and seating strategies to improve evacuation safety. The study provides practical insights for aircraft design, emergency planning, and promoting safer travel for elderly passengers.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Evacuation and Crowd Dynamics · Fire dynamics and safety research · Aerodynamics and Fluid Dynamics Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Civil Engineering, University of Sydney 1 , Sydney,

China Academy of Building Research 2 , Beijing,

Department of Clinical Neurosciences, University of Calgary 3 , Calgary, Alberta T2N 1N4,

School of Transportation and Logistics, Southwest Jiaotong University 4 , Chengdu,

West Air Co., Ltd. 5 , Chongqing,

Funding

Chengdu Aeronautic Industry and Cultural Development Research Center · Sichuan Provincial Engineering Research Center of Smart Operation and Maintenance of Civil Aviation Airports · National Key R&D Program of China · Sichuan Fire Research Institute of Ministry of Emergency Management

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