Container terminals, handling over 80% of global trade, face a "triple dilemma": complex multi-equipment coupling, frequent disturbances, and stringent international carbon mandates like the IMO policies and EU ETS. Traditional optimization methods struggle with real-time adaptation and low-carbon compliance. Digital Twin (DT) technology offers a new paradigm for virtual–physical mapping and carbon efficiency management. This paper systematically reviews port digital twins and intelligent scheduling, constructing a four-dimensional framework: architecture, problems, technologies, and applications. Findings indicate that DTs are characterized by bidirectional closed-loop interaction, with a four-layer architecture becoming the mainstream paradigm. While scheduling models for multi-equipment collaboration are maturing, the research frontier has shifted toward DT-driven uncertainty rescheduling and low-carbon strategies, such as equipment ratio optimization and charging management. Core technologies—data fusion, virtual modeling, and reinforcement learning—are increasingly robust. Practical implementations in major hubs like Qingdao and Yangshan ports demonstrate that DT solutions significantly enhance operational efficiency and reduce emissions. Ultimately, DT technology provides a critical pathway for terminals to navigate international carbon regulations and achieve green, high-quality development.

Urban renewal has entered a new stage where stock development is as important as quality improvement. At this stage, the urban renewal in policy new towns and ordinary new districts shows clearly distinguishable structural differences in terms of institutions, resources, and implementation. This study selects Qianhai and Xiongan as cases of policy new towns, and selects Bao 'an of Shenzhen and the main urban area of Baoding as ordinary new towns with the same geographic location, level and development period. The core focus of the study is the difference of urban renewal between policy new areas and ordinary new areas and which path will the next renewal take. Many documents indicate that policy-based new areas, leveraging their policy advantages, can shorten the decision-making process and gather information. In contrast, ordinary new areas have deficiencies in information acquisition and departmental collaboration, and urban renewal in these areas is prone to fluctuations and restrictions. For this purpose, we propose a differentiated urban renewal path centered on information governance, providing operational guidance for transitioning from pilot experience to large-scale promotion.