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Research on multi-objective optimization of forest fire station site selection based on improved NSGA-II
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Hua LI1, Xin CHEN1, Peng YI**, 1, Lizhou WU2
China Safety Science Journal | 2026, 36(3) : 171 - 177
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China Safety Science Journal | 2026, 36(3): 171-177
Public Safety and Emergency Management
Research on multi-objective optimization of forest fire station site selection based on improved NSGA-II
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Hua LI1, Xin CHEN1, Peng YI**, 1, Lizhou WU2
Affiliations
  • 1School of Resources Engineering, Xi'an University of Architecture and Technology, Xi'an Shaanxi 710055, China
  • 2School of Safety Science and Engineering, Xi'an University of Science and Technology, Xi'an Shaanxi 710054, China
Published: 2026-03-28 doi: 10.16265/j.cnki.issn1003-3033.2026.03.1051
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In order to enhance the emergency response capability of the firefighting and rescue teams and the overall efficiency of the forest and grassland fire prevention and control layout, an optimization method for the site selection of forest and grassland fire stations based on hybrid fire prevention emergency roads was proposed. By combining the eight-direction tilt point algorithm with digital elevation model data, a hybrid fire emergency road network was constructed to enhance the fire brigade's early prevention and emergency response capabilities. Subsequently, the location allocation model of the improved NSGA-II was adopted to optimize the site selection of the fire station, ensuring the rational allocation of resources and expanding the coverage. The results show that the coverage rate of the hybrid fire prevention emergency road in the overall area is 96.91%, and the coverage rate in the high-risk area is 93.51%, which improves the ability of the rescue team to deal with complex terrains. The optimized layout of the fire stations has a coefficient of variation of 0.26, ensuring the inspection and response capabilities of the teams. The overall demand satisfaction rate is 0.86, ensuring that the key areas are fully protected. The optimization model proposed in this study can provide a theoretical basis for the layout of forest and grassland fire prevention and control, improve the utilization rate of rescue resources, and promote the precise development of forest fire management.

non-dominated sorting genetic algorithms II(NSGA-II)  /  forest and grassland fires  /  fire station  /  multi-objective  /  site selection optimization  /  location allocation
Hua LI, Xin CHEN, Peng YI, Lizhou WU. Research on multi-objective optimization of forest fire station site selection based on improved NSGA-II[J]. China Safety Science Journal, 2026 , 36 (3) : 171 -177 . DOI: 10.16265/j.cnki.issn1003-3033.2026.03.1051
Year 2026 volume 36 Issue 3
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2026.03.1051
  • Receive Date:2025-09-10
  • Online Date:2026-07-08
  • Published:2026-03-28
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  • Received:2025-09-10
  • Revised:2025-12-13
Affiliations
    1School of Resources Engineering, Xi'an University of Architecture and Technology, Xi'an Shaanxi 710055, China
    2School of Safety Science and Engineering, Xi'an University of Science and Technology, Xi'an Shaanxi 710054, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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