The rescue of the wounded after the disaster is the core of the post disaster relief work. The number of ambulances compared to the quantity of casualties is obviously insufficient,so the rescue to the wounded is very difficult. However, the severity of the wounded is on the different level. According to "Emergency Time Window" theory, rescuing those who are badly wounded in the first hours after disaster can greatly improve their chance of survival. Beyond the "Emergency Time Window", the badly wounded have less rescuing value than the slightly wounded gradually. In short, the wounded should be classified according to their different characteristics and ambulance resources should be coordinated.
In this context, in order to achieve rapid treatment and placement of the wounded in large-scale disaster, and improve the utilization rate of ambulance resources, the triage treatment and transportation rescue mode, namely taking local treatment to the slightly injury and transporting the badly wounded into hospital by ambulances is proposed. Trauma index is used to calculate the change of the severity of the wounded during the waiting period. The optimization goal is to minimize the trauma index of all wounded, and the Multi-Trip, Split-Demand ambulance VRP mathematical model(MTSD-VRP) is established.
Based on the aboveissues, an approach base-on tabu search algorithm considering vehicle trips is developed for ambulance path optimization. The algorithm uses the "vehicle trip pool" to preserve the trips in better solution and generate new trips, and design the search operator and search strategy based on the trip. The algorithm flow mainly includes the trip generating process, the trip distribution process and the trip refreshing process.
The simulation result shows that the MTSDVRP model and the tabu search algorithm is suitable for ambulance path optimization with wounded classification. The data used in numerical simulation is primarily references to the actual situation of Ya'an City, Sichuan Province. The MTS-DVRP model with wounded classification and the tabu search algorithm based on the vehicle trip can be used as reference for other related studies.
WANG Jing, LIU Hao-tian, Huang Jun
. Research on the Route Optimization of Ambulance Treatment and Transportation after Disaster Based on the Injured Classification[J]. Chinese Journal of Management Science, 2017
, 25(8)
: 114
-122
.
DOI: 10.16381/j.cnki.issn1003-207x.2017.08.012
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