# Scheduling Optimization of Mobile Emergency Vehicles Considering Dual Uncertainties
## 5 Conclusions  
With the increasing frequency and damage intensity of sudden disasters, the traditional emergency mode has made it difficult to provide accurate and efficient emergency services. The emergence of mobile emergency mode undoubtedly provides an opportunity for upgrading and transforming the emergency system. As the core part of mobile emergency response, the mobile emergency vehicle scheduling mode shows various advantages in facility flexibility and planning intelligence compared with the traditional emergency response. Especially in the face of the uncertain impact caused by disasters, the mobile emergency vehicle scheduling model, considering dual uncertainties, provides a new way to reduce the uncertainty risk and maintain the rationalization of vehicle scheduling cost and time. To verify the superior performance of mobile emergency vehicle scheduling under uncertainty conditions, a vehicle scheduling of mobile emergency is proposed with two most intuitive impacts: path uncertainty risk and demand uncertainty risk. These uncertainty factors are measured by path complexity, path integrity, and demand disturbance variation. Considering the difference in data orders of magnitude, the model of multi  
Figure 8: Variation of mobile emergency cost and time in second scenario. Figure 10: Variation of mobile emergency cost and time in fourth scenario. Figure 9: Variation of mobile emergency cost and time in third scenario. objective programming is transformed into a single-objective optimal value problem. Then, a genetic algorithm is used to solve the problem and ensure the scheduling logic of each mobile emergency vehicle is feasible. Finally, taking the \"5.12\" Wenchuan earthquake as an example, the paper verifies the scientificity and superiority of the mobile emergency vehicle scheduling model. Further, the two kinds of influence of key uncertainty factors on the scheduling process of mobile emergency vehicles are discussed. After analyzing the four types of differentiated scenarios, decision suggestions about mobile emergency vehicle scheduling and overall emergency resource deployment are given as follows. (1) The changes in demand produce more impact on mobile emergency vehicle scheduling than the path factors. Thus, it is very important to obtain the change in demand information in time to improve the efficiency of emergency response. (2) The influence of path uncertainty on mobile emergency cost and time shows a linear trend with a quite low slope. That is, improvement in road conditions does not significantly improve emergency serviceability. (3) the minimum distribution cost and the shortest distribution time increase obviously with the control coefficient. This shows that eliminating the uncertainty of data can effectively enhance emergency decision-making ability. Although path uncertainty and demand uncertainty are considered in the vehicle scheduling optimization model of mobile emergency, there are many uncertainty factors that need to be analyzed, such as data transmission uncertainty, disaster evolution uncertainty, and material damage uncertainty. The next step can introduce more uncertainty factors into mobile emergency scheduling to enhance the practicability of the model. Another issue worth investigating is the optimal number and location of emergency resource centers. Conceptualization, J.L. and R.Z. ; methodology, H.F.; software, R.Z. ; validation, H.F., J.L. and K.K.L. ; formal analysis, J.L. ; investigation, R.Z. ; resources, J.L. ; data curation, H.F.; writing--original draft preparation, J.L. ; writing--review and editing, M.B.L; visualization, H.F.; supervision, J.L. ; project administration, K.K.L. ; funding acquisition, H.F. All authors have read and agreed to the published version of the manuscript. This research was funded by the National Social Science Fund of China, grant number 21 BGL200. Not applicable. The data that support the findings of this study are available from the corresponding author, [[PERSON]], upon reasonable request.