Global Journal of Engineering and Technology Research (GJETR) · Research article · Open access
Forecasting Fire Incidents and Direct Property Losses in Vietnam: A Comparative Time-Series Study
Nguyen Thi Lan Anh
25 April 2026 · Vol. 2, Issue 4, pp. 115-120
DOI: 10.65150/EP-gjetr/V2E4/2026-02
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What is this article about?
This article compares several short-term time-series models for forecasting fire incidents and direct property losses caused by fire in Vietnam. The study uses annual data for the 2020–2025 period compiled from official releases and published materials of the Fire Prevention, Firefighting and Rescue Police Department.
Article at a glance
- Published
- 25 April 2026
- Volume / issue / pages
- Vol. 2, Issue 4, pp. 115-120
- ISSN
- 3051-3782 (online) · 3051-3774 (print)
- Licence
- CC BY 4.0 — free to read and reuse with attribution
- Peer review
- Double-blind, at least two independent reviewers
- Publisher
- EP Journals Group
Abstract
This article compares several short-term time-series models for forecasting fire incidents and direct property losses caused by fire in Vietnam. The study uses annual data for the 2020–2025 period compiled from official releases and published materials of the Fire Prevention, Firefighting and Rescue Police Department. Five forecasting methods are employed: the average absolute increase method, the average growth rate method, linear trend regression, simple exponential smoothing, and the three-year moving average. The results show that the three-year moving average model is the most suitable for both indicators. According to this model, Vietnam may record approximately 3,568 fire incidents and VND 774.08 billion in direct property losses in 2026. The article also indicates that although the share of direct fire-related property losses in GDP remains small, the actual economic impact of fire on firms, households, and supply chains is substantial. The study therefore underscores the role of fire forecasting in fire prevention, firefighting, rescue operations, and economic risk governance.
Keywords: fire incidents, direct property losses, time-series models, short-term forecasting, fire prevention, firefighting and rescue, Vietnam
Cite this article
Nguyen Thi Lan Anh (2026). Forecasting Fire Incidents and Direct Property Losses in Vietnam: A Comparative Time-Series Study. Global Journal of Engineering and Technology Research, 2(4), 115-120. https://doi.org/10.65150/EP-gjetr/V2E4/2026-02
@article{Nguyen2026,
title = {Forecasting Fire Incidents and Direct Property Losses in Vietnam: A Comparative Time-Series Study},
author = {Nguyen Thi Lan Anh},
journal = {Global Journal of Engineering and Technology Research},
year = {2026},
volume = {2},
number = {4},
pages = {115-120},
doi = {10.65150/EP-gjetr/V2E4/2026-02},
url = {https://doi.org/10.65150/EP-gjetr/V2E4/2026-02}
}Questions about this article
Who wrote this article?
Nguyen Thi Lan Anh.
Where and when was it published?
In Global Journal of Engineering and Technology Research, Volume 2, Issue 4, pages 115-120, published by EP Journals Group on 25 April 2026.
Is this article free to read?
Yes. It is open access under a Creative Commons Attribution 4.0 (CC BY 4.0) licence, so anyone can read, share and reuse it with attribution.
What is the DOI of this article?
10.65150/EP-gjetr/V2E4/2026-02 (https://doi.org/10.65150/EP-gjetr/V2E4/2026-02).
How do I cite this article?
APA: Nguyen Thi Lan Anh (2026). Forecasting Fire Incidents and Direct Property Losses in Vietnam: A Comparative Time-Series Study. Global Journal of Engineering and Technology Research, 2(4), 115-120. https://doi.org/10.65150/EP-gjetr/V2E4/2026-02
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