Spatiotemporal Data-Driven Multiperiod Relocation Optimization of Emergency Medical Services: Maximum Equality Objective

As a kind of first aid healthcare service, emergency medical services (EMSs) present high spatiotemporal sensitivity due to significant changes in the time-dependent urban environment. Taking full advantage big data realize multiperiod relocation optimization EMSs can reduce idle resources and improve service utilization efficiency fairness. First, we established dynamic accessibility equality model formulate maximization objective global equality. Second, proposed capacitated integer evolution algorithm that relocates vehicles optimize scheduling scheme. Based on mobile phone records online route planner data, research metropolis, Nanjing, China, rose by 41.5% average, which has an incentivizing effect alleviating tension prehospital minimizes disparities without constructing more infrastructure. We also created maps visualize patterns over time. This approach be regarded as trade-off dispatch sensitive provide practical tool for decision-makers evaluate public systems strategic planning.