In order to solve the social stability risk problem of the adjusting goods vehicle calculation method (AGVCM) in the cancellation of toll stations at expressway provincial boundaries, a social stability risk evaluation model was proposed. Firstly, based on the possible time stages of the AGVCM, we built the social stability risk evaluation index system of the AGVCM including 4 levels, 3 grades, and 60 indicators. Secondly, we used the semantic information of cloud model to transform qualitative description and quantitative evaluation, calculated the risk level for social stability risk evaluation of AGVCM according to an integrated cloud algorithm, and proposed an optimal combination weighting—cloud model for the social stability risk evaluation of AGVCM. Finally, the feasibility of the evaluation model is verified by a case study in Yunnan province in China. The results showed that the cloud model’s numerical characteristic of social stability risk evaluation of AGVCM in Yunnan based on the optimal combination weighting—cloud model is (0.28, 0.073, 0.0008), implying the risk level is “small” and the conclusion is basically consistent with current standards. The model contains rich process information, which is helpful to better effectively eliminate the subjectivity and arbitrariness in the evaluation process of identifying the key factors affecting the project risk level.

Earthquakes often cause road damage, so the earthquake relief needs cooperative road rehabilitation and postearthquake emergency supply. In the thesis, the definition of connectivity degree on post-earthquake road network is proposed, and the rehabilitation order for road network is resolved according to its extended meaning. Then, the multistage dynamic problem is decomposed to multiple single phase problems. For each single one, the mathematical model, which balances between efficiency and fairness, is established, and a simulated annealing algorithm is adopted for solving the model, at last its feasibility is verified by a numerical example.

In view of China’s cargo airlines network, taking the airport of each city as the node and the number of flights between cities as the weight of the side, the network topology index and economic index are used to evaluate the current situation of the network and the development potential of the network. Then, the TOPSIS method is used to comprehensively evaluate China’s cargo airlines network. The results show that the network ranking of each airline is: China Cargo Airlines, SF Airlines, China Post Airlines, Jinpeng Airlines, Longhao Airlines, Yuantong Airlines. Finally, considering the development stage of China’s cargo airlines, the sensitivity analysis is conducted by resetting the weight to verify the effectiveness of TOPSIS method. At the same time, according to the different stages of the network of cargo airlines, some suggestions on the development of the network are given.

According to the logistic difficulty of different complete sets of equipment, complete sets of equipment will be divided into general logistics and large categories. And on this basis, in considering the case of market demand, a model of logistics outsourcing equipment is established. According to analyze the supply chain profit and their own profits from centralized decision and non-cooperative game, it is proved that the profit on centralized decision is greater than the profit of non-cooperation. Logistics outsourcing prices ultimately does not affect the market price , but belongs to the internal problems of supply chain system in the condition of centralized decision, and the ultimate market prices is a positive correlation function of the price of logistics outsourcing in the condition of non-cooperative game. The last, Robin Stein bargaining model is adopted to distribute the remaining profit produced by cooperation, and it is proved that Robbins bargaining model can achieve Pareto optimal allocation.