Two-Stage Covering Location Model for Air–Ground Medical Rescue System
AbstractThis study tackled the multimodal facility location problem in emergency medical rescue. First, an intermodal setting was suggested, i.e., considering cooperation between ground ambulances and helicopters in emergency medical rescues. Specifically, four scheduling modes were structured: air only, ground only, air-ground combined mode if landing and take-off site for helicopters near the wounded is available, and air-ground transshipment if the landing and take-off site for helicopters near the wounded is not available. Second, a two-stage covering location model was proposed. In the first stage, a set-covering model was developed to achieve maximum coverage and minimal total construction cost of emergency rescue facilities. The optimal mixed allocation proportion of helicopters and ground ambulances was then obtained to guarantee cohesion between the hierarchical models and covering characteristics and the economic efficiency of location results. In the second stage, for given emergency locations, an emergency scheduling mode matrix was constructed for meeting response time and total rescue time constraints. The proposed model obtains optimal results in terms of coverage, construction cost, and rescue time. A case study of Beijing, China validated the feasibility and efficiency of the two-stage covering location model for multimodal emergency medical rescue network. The proposed air-ground rescue system and two-stage covering location model can be extended and also used for large-scale disaster rescue management. View Full-Text
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Zhang, M.; Zhang, Y.; Qiu, Z.; Wu, H. Two-Stage Covering Location Model for Air–Ground Medical Rescue System. Sustainability 2019, 11, 3242.
Zhang M, Zhang Y, Qiu Z, Wu H. Two-Stage Covering Location Model for Air–Ground Medical Rescue System. Sustainability. 2019; 11(12):3242.Chicago/Turabian Style
Zhang, Ming; Zhang, Yu; Qiu, Zhifeng; Wu, Hanlin. 2019. "Two-Stage Covering Location Model for Air–Ground Medical Rescue System." Sustainability 11, no. 12: 3242.
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