With the rapid development of the logistics industry, the load demand in logistics parks equipped with electric heavy-duty trucks and cold chain facilities has increased sharply, leading to higher overall operating costs. To address this, a shared energy storage system is introduced as a thirdparty energy transaction platform, and a scheduling optimization method for multi-integrated energy systems based on a game-theoretic pricing incentive mechanism is proposed. This method considers the complementary characteristics between the high load demand of logistics parks and the renewable energy generation features of conventional integrated energy systems, solving the interaction strategies of all participants while pursuing their respective optimal objectives. A load-shifting model is constructed by analyzing the load characteristics of electric heavy-duty trucks and cold chain facilities. A flexible charging and discharging capacity-sharing rental model for energy storage is adopted, and an interaction model between the logistics park system with shared energy storage and conventional integrated energy systems is developed. On this basis, a dynamic pricing analysis based on a leaderfollower game is established to explore energy transaction interactions among multiple systems. The results show that the proposed multi-system interaction model not only meets the energy scheduling demands of electricity and cooling loads in logistics parks but also ensures the lowest cost across multiple energy systems, reduces wind and solar energy curtailment, and achieves a 6.0% reduction in overall system costs compared to traditional models.