This study investigates the evolutionary game dynamics among electric vehicle distribution entities in the context of shared charging facilities, addressing the critical issue of inadequate charging resources. To understand the behavior of different stakeholders under government incentive policies, we develop an evolutionary game model involving a government department and two logistics enterprises (A and B). Through stability analysis, we explore equilibrium conditions of evolutionarily stable strategies (ESSs) for the tripartite evolutionary game. To ensure the robustness of our findings, we conduct a MATLAB simulation analysis to validate the analytical results. Our findings highlight that government subsidies, the costs incurred by logistics enterprises to share charging facilities, and the additional distribution income derived from this sharing are critical in determining whether the evolutionary game can achieve a stable equilibrium state. This research enables logistics companies to optimize the use of charging resources, lower operating costs, and enhance delivery efficiency. Additionally, government subsidy policies play a crucial role in encouraging logistics enterprises to engage in charging facility sharing, thereby fostering the sustainable development of the entire logistics industry. Based on these insights, the paper offers practical recommendations to further promote the sharing of charging facilities in electric vehicle distribution.

Energy supply is an important system that affects the overall efficiency of urban transportation. To improve the system operational efficiency and reduce costs, we formulate and solve a collaborative multidepot petrol station replenishment problem with multicompartments and time window assignment by establishing a mixed-integer linear programming model. The hybrid heuristic algorithm composed of genetic algorithm and particle swarm optimization is used as a solution, and then the Shapley value method is applied to analyze the profit allocation of each petrol depot under different coalitions. The optimal membership sequence of the cooperation is determined according to the strict monotone path. To analyze and verify the effectiveness of the proposed method, a regional petrol supply network in Chongqing city in China is investigated. Through cooperation between petrol depots in the supply network, the utilization of customer clustering, time window coordination, and distribution truck sharing can significantly reduce the total operation costs and improve the efficiency of urban transportation energy supply. This approach can provide theoretical support for relevant government departments and enterprises to make optimal decisions. The implementation of the joint distribution of energy can promote the sustainable development of urban transportation.

In recent years, emergency events have affected urban distribution with increasing frequency. For example, the 2019 novel coronavirus has caused a considerable impact on the supply guarantee of important urban production and living materials, such as petrol and daily necessities. On this basis, this study establishes a dual-objective mixed-integer linear programming model to formulate and solve the cooperative multidepot petrol emergency distribution vehicle routing optimization problem with multicompartment vehicle sharing and time window coordination. As a method to solve the model, genetic variation of multiobjective particle swarm optimization algorithm is considered. The effectiveness of the proposed method is analyzed and verified by first using a small-scale example and then investigating a regional multidepot petrol distribution network in Chongqing, China. Cooperation between petrol depots in the distribution network, customer clustering, multicompartment vehicle sharing, time window coordination, and vehicle routing optimization under partial road blocking conditions can significantly reduce the total operation cost and shorten the total delivery time. Meanwhile, usage of distribution trucks is optimized in the distribution network, that is, usage of single- and double-compartment trucks is reduced while that of three-compartment trucks is increased. This approach provides theoretical support for relevant government departments to improve the guarantee capability of important materials in emergencies and for relevant enterprises to improve the efficiency of emergency distribution.

Owing to the expansion of large cities, especially in China, gas stations queuing issues increasingly challenge normal operations and the fluidity of the entire transportation system. In fact, energy supply system is an important part of the traffic system, and the rapid access to refueling services positively affects the population’s travel experience. The purpose of this study is to use queuing theory to analyze one typical layout with two gas stations (G1 and G2) under two different conditions: Absence of queuing information guidance and availability of real-time queuing information at the gas station. Mathematical reasoning and numerical experiments prove that the mean customer acceptance rate increases and the mean waiting time decreases in two M/M/1/2, M/M/1/3 and M/M/2/3 models under information guidance. In addition, we compare the fluctuation of service intensities of G1 and G2 under the conditions defined above and find that the capacities of gas stations G1 and G2 are balanced. Furthermore, numerical simulations for M/M/1/4 and M/M/2/4 models are undertaken to yield the same conclusions regarding capacity balance in other types of gas station. In summary, transferring real-time information to drivers is helpful to optimize the management and reduce the negative effects of queuing at gas stations, and should be considered in relevant sectors.

At present, Chongqing expressway operation has entered a new stage, and how to improve its operation and management effectiveness has become a new research topic. The article first summarizes and analyzes the development characteristics and experiences of Chongqing expressway management system, and points out that the development of China's expressway management system should not only strengthen the specialization of managers in various functional departments, but also establish a corresponding coordination and control mechanism to improve the efficiency of management; then, it focuses on comparing and analyzing the similarities and differences of expressway law enforcement in Chongqing and Sichuan in the context of Sichuan-Chongqing integration; Finally, countermeasure suggestions are made based on the opportunities and challenges of Chongqing expressways under the integration of Sichuan and Chongqing, which provide some reference values for decision-making bodies at Chongqing and Sichuan levels when formulating policies on expressway operation and management.