Construction of a “demand-resource” matching optimization model for university library space service reconstruction driven by digital twin technology

Key Points

• The optimization model aims to improve library space utilization and service quality based on demand.
• Key metrics indicate that effective resource matching can increase space efficiency by 25%.
• The approach involves applying digital twin technology to simulate and optimize library layouts and services.
• This model may enable better planning in academic libraries, though practical validation is still needed.