Forest fire resource planning with integer programming: an application in Turkey

Forest fires are among the serious disasters that cause disruption of ecological balance, economic losses and threats to life safety. In order to effectively combat such disasters, strategic planning of firefighting equipment is of great importance. In this context, this study develops an optimal resource planning model for forest fire response using integer linear programming method. The model aims to make the most appropriate equipment allocation by considering parameters such as fire spread rate, fire priority level, number of equipment, and response time. In this context, 99 first response vehicles, 54 land vehicles, 18 water supply vehicles, and 2 helicopters used in fire fighting in the Edremit district of Balıkesir were included in the model. Each type of equipment is evaluated according to its operational capacity and mobility, and resource allocation is optimized accordingly. Within the scope of the application based on real-life data, the planning and allocation of firefighting equipment in Edremit district, one of the riskiest regions of Balıkesir province in terms of forest fires, has been optimized over four scenarios representing different fire conditions. The objective function aims to minimize the total transportation time and the model results show that the equipment reaches the fire points in the shortest time. The findings show that the proposed model can speed up the firefighting process and increase efficiency in resource utilization. It is thought that this study can guide decision makers in the fight against forest fires.

Authors

Institutions

Publication Details

Journal
Forest Science and Technology
Published
2025-06-13
DOI
https://doi.org/10.1080/21580103.2025.2513511
Citations
1
Primary Topic
Facility Location and Emergency Management
Type
article
Field-Weighted Citation Impact
2.76
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Forest fire resource planning with integer programming: an application in Turkey

Burcu Tezcan, Tamer Eren
1 citations
Forest Science and Technology
Facility Location and Emergency Management
2.76
article

Forest fire resource planning with integer programming: an application in Turkey

Burcu Tezcan, Tamer Eren
article en
1 citations

Abstract

Forest fires are among the serious disasters that cause disruption of ecological balance, economic losses and threats to life safety. In order to effectively combat such disasters, strategic planning of firefighting equipment is of great importance. In this context, this study develops an optimal resource planning model for forest fire response using integer linear programming method. The model aims to make the most appropriate equipment allocation by considering parameters such as fire spread rate, fire priority level, number of equipment, and response time. In this context, 99 first response vehicles, 54 land vehicles, 18 water supply vehicles, and 2 helicopters used in fire fighting in the Edremit district of Balıkesir were included in the model. Each type of equipment is evaluated according to its operational capacity and mobility, and resource allocation is optimized accordingly. Within the scope of the application based on real-life data, the planning and allocation of firefighting equipment in Edremit district, one of the riskiest regions of Balıkesir province in terms of forest fires, has been optimized over four scenarios representing different fire conditions. The objective function aims to minimize the total transportation time and the model results show that the equipment reaches the fire points in the shortest time. The findings show that the proposed model can speed up the firefighting process and increase efficiency in resource utilization. It is thought that this study can guide decision makers in the fight against forest fires.

Forest Science and TechnologyVol. 21(3)
Kırıkkale University (TR)
Openalex Percentile: Top 10%
Facility Location and Emergency Management
2.76
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Forest fire resource planning with integer programming: an application in Turkey — Burcu Tezcan, Tamer Eren · Forest Science and Technology (2025) | TGRS Research Map | TGRS