This paper conducts systematic research on optimization of resource scheduling for emergency repair and construction scenarios. Addressing the spatiotemporal distribution characteristics and resource requirements of urgent tasks during emergencies, we construct a dynamic scheduling model incorporating time sensitivity, task priorities, and resource balancing. A greedy algorithm-based optimization method is designed to resolve critical issues including route optimization, resource conflicts, and response delays in resource allocation. Case studies demonstrate that the model effectively resolves resource allocation, task sequencing, and time optimization problems, providing theoretical guidance and practical references for enhancing the speed, reliability, and effectiveness of emergency repair and construction operations.