Multi-objective Hierarchical Site Selection for Fire Stations
Author Information
Author(s): He Junjie, Guan Xin, Lu Houjun, Yang Juntao
Primary Institution: Shanghai Fire Research Institute Of MEM, Shanghai, China
Hypothesis
How can we optimize the location of fire stations to effectively cover fire risk areas while minimizing construction costs?
Conclusion
The study developed a multi-objective model that effectively optimizes fire station locations, balancing coverage and costs.
Supporting Evidence
- The model incorporates a coverage attenuation function to reflect varying service levels of fire stations.
- Numerical experiments demonstrated that retaining existing fire stations can reduce costs but may compromise coverage of high-risk areas.
- Sensitivity analysis showed that increasing the number of fire stations improves coverage but with diminishing returns.
Takeaway
This study helps figure out the best places to put fire stations so they can help the most people while spending the least money.
Methodology
The study used a multi-objective hierarchical site selection model and a genetic algorithm to optimize fire station locations based on fire risk and construction costs.
Limitations
The study did not consider relocating existing fire stations or changing their hierarchical structure.
Digital Object Identifier (DOI)
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