Choosing new energy vehicles for travel, especially electric vehicles, is an important component of building a low-carbon urban transportation system. However, the charging need of electric vehicle users is still constrained by the unreasonable layout and insufficient supply of public charging piles in cities. Private charging pile sharing, as an alternative policy tool, can play a beneficial role in solving this problem. However, it needs decision-makers in urban transportation to take corresponding measures to promote. This paper constructs an evolutionary game model to study the decision behavior of participants in a private pile-sharing platform. Through numerical simulation analysis, it is found that under most parameter conditions, the government tends to establish a shared charging pile platform based on public interests. Private charging pile owners are influenced by the relationship between the cost of supply modification and revenue, and they tend to join the shared platform when they expect to recover the modification cost. The research conclusions of this paper will provide support for exploring how participants make decisions to maximize overall benefits in the development of low-carbon urban transportation.

In the context of global climate governance and the International Maritime Organization’s (IMO) stringent carbon reduction targets, the transition to green shipping fuels faces systemic challenges in supply chain coordination. This study focuses on the strategic interactions between governments and enterprises in the construction of green fuel supply chains. By constructing a multidimensional scenario framework encompassing time, technological development, social attention, policy intensity, and market competition, and using evolutionary game models and system dynamics simulations, we reveal the dynamic evolution mechanism of government–enterprise decision making. System dynamics simulations reveal that (1) short-term government intervention accelerates infrastructure development but risks subsidy inefficiency; (2) medium-term policy stability and market-driven mechanisms are critical for sustaining enterprise investments; and (3) high social awareness and mature technologies significantly reduce strategic uncertainty. This research advances the application of evolutionary game theory in sustainable supply chains and offers a decision support framework for balancing governmental roles and market forces in maritime decarbonization.

Because container terminals are facing pressure to achieve carbon neutrality in China, saving energy has become an important objective of container terminals. This paper analyzed the movement path of containers between the quay carne and the yard, and found that paths in the vertical direction existed, requiring unnecessary energy consumption. To solve the unnecessary energy consumption problem, a completely new work mode called the high platform operation mode was proposed. In this new mode, a high platform is built above the yard and container trucks drive onto the high platform. By building an energy consumption model to compare the energy consumption of the traditional and new modes, we found that the new mode is able to save 1.478 kWh of electricity compared to the traditional mode when handling one container. A terminal company in Tianjin Port was taken as an example to examine and validate the efficiency of the proposed mode. The computational results indicate that the electricity saved in 12 years would be able to cover the cost of building the high platform, meaning that the new mode could reduce container terminals’ energy consumption and accelerate the achievement of carbon neutrality.

Improving operational efficiency and reducing energy consumption are common objectives for all ports. In previous research by authors, a new high operation platform mode was proposed. It had been proven to reduce energy consumption and be economically feasible. On this basis, this paper studied the influence of high operation platform mode on automated container terminal (ACT) efficiency. This paper took U-shaped ACT as the research object, put forward the operation characteristics of U-shaped ACT under high operation platform mode, and constructed the operation time model of high and low operation platform mode respectively. This paper took 30 containers at the same bay as an example to calculate and verify. The computational results shows that when V ¹ _v / V ¹ _h is above the V ¹ _v / V ¹ _h - α curve, the operation time of high platform mode is shorter, and the operation efficiency of ACT is higher ( V ¹ _v represents the speed of spreader with container vertically moving; V ¹ _h represents the speed of spreader with container horizontally moving.); when V ¹ _v / V ¹ _h is under the V ¹ _v / V ¹ _h - α curve, the shortening time of quay cranes operation is greater than the increasing time of yard cranes operation, so the overall operational efficiency of ACT is still improved. Therefore, high operation platform mode can improve efficiency of ACT.

Choosing new energy vehicles for travel, especially electric vehicles, is an important component of building a low-carbon urban transportation system. However, the charging need of electric vehicle users is still constrained by the unreasonable layout and insufficient supply of public charging piles in the city. Private charging pile sharing as an alternative policy tool can play a very good role in solving this problem. But it needs decision-makers in urban transportation to take corresponding measures to promote. This paper constructs an evolutionary game model to study the decision behavior of participants in private piles sharing platform. Through numerical simulation analysis, it is found that under most parameter conditions, the government tends to establish a shared charging pile platform based on public interests. Private charging pile owners are influenced by the relationship between the cost of supply modification and revenue, and they tend to join the shared platform when they expect to recover the modification cost. The research conclusions of this paper will provide support for exploring how participants make decisions to maximize overall benefits in the development of low-carbon urban transportation.

Despite a number of adverse factors, China’s steel industry has maintained a rapid growth trend. China continues to consume two-thirds of the world’s iron ore, the majority of which is imported. In this context, Chinese steel companies have begun to consider integrating their supply chains to increase efficiency and lower costs. However, the increasingly volatile international environment makes this an extremely risky proposition. As a result, the issue of how Chinese steel producers should participate in global supply chain integration has emerged as a critical research question that requires investigation. In this paper, we examine the supply chain integration problem using a typical China–Australia steel trade as an example. Specifically, we discuss in detail whether relevant firms should continue to promote supply chain integration in the Chinese–Australian steel industry, as well as the decision boundary of influence, using evolutionary game theory and policy risk cost factors. The empirical analysis demonstrates that policy risk has a range of effects on different types of steel firms. Even when international tensions are considered, smaller steel companies may retain a greater willingness to integrate their supply chains. Overall, the above findings can provide necessary decision support for enterprises to formulate supply chain management strategies.