Proceedings of the 2025 7th International Conference on Civil Engineering, Environment Resources and Energy Materials (CCESEM 2025)

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A Study on Pedestrian Evacuation Way-finding Efficiency under the Influence of Memory and Natural Light

Authors
Lijuan Jiang1, Jun Zeng1, *, Weiyang Xu2
1Chongqing Vocational Institute of Engineering, Chongqing, China
2School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China
*Corresponding author. Email: zengjun@cqvie.edu.cn
Corresponding Author
Jun Zeng
Available Online 16 December 2025.
DOI
10.2991/978-94-6463-902-5_18How to use a DOI?
Keywords
Way-finding; Virtual reality; Original route; Light-oriented; Evacuation sign
Abstract

This study evaluates evacuation efficiency under four scenarios in AnyLogic, combining phototaxis, original path, and evacuation sign exits. Results show that the configuration with all three 2-meter-wide exits enables the fastest evacuation—90% in 39 seconds and 100% in 55 seconds. Scenarios missing exits experience longer times due to congestion. Surprisingly, the single evacuation sign exit outperforms a configuration with phototaxis and evacuation sign exits equally divided, suggesting that exit widths should reflect occupant flow rather than symmetry. Pre-evacuation delays were not included but could significantly lengthen total evacuation time. The study underscores the need for diversified and appropriately sized exits to improve emergency response and safety.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 7th International Conference on Civil Engineering, Environment Resources and Energy Materials (CCESEM 2025)
Series
Advances in Engineering Research
Publication Date
16 December 2025
ISBN
978-94-6463-902-5
ISSN
2352-5401
DOI
10.2991/978-94-6463-902-5_18How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Lijuan Jiang
AU  - Jun Zeng
AU  - Weiyang Xu
PY  - 2025
DA  - 2025/12/16
TI  - A Study on Pedestrian Evacuation Way-finding Efficiency under the Influence of Memory and Natural Light
BT  - Proceedings of the 2025 7th International Conference on Civil Engineering, Environment Resources and Energy Materials (CCESEM 2025)
PB  - Atlantis Press
SP  - 183
EP  - 191
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-902-5_18
DO  - 10.2991/978-94-6463-902-5_18
ID  - Jiang2025
ER  -