Optimizing Emergency Material Distribution for Urban Road Infrastructure Maintenance: A Case Study of Post-Torrential Rain Disaster Repair
Honghe Xian1  Jiayi Wang2

1 Zhongtu Dadi International Architectural Design co.,LTD，Shijiazhuang Hebei，050000；

2 College of Management, Hebei GEO University，Shijiazhuang Hebei，050000；

Abstract：Urban road infrastructure underpins city functionality, with rapid post-disaster recovery essential for safeguarding public safety, economic continuity, and social order.. Torrential rain disasters threaten urban road networks, causing flooding and damage. The efficiency of emergency repair depends on timely material distribution, but traditional methods often fail in the post-disaster environment, leading to delays and resource imbalances.

This study develops an optimization framework for emergency material distribution in urban road maintenance following torrential rain disasters. It first analyzes disaster - specific challenges like damaged transportation, uncertain demand, and resource competition. Then, it constructs a framework for an optimized distribution system with components such as multi - level depots and information platforms.

Based on this framework, it explores advanced optimization models and algorithms. A multi - objective model is proposed to minimize distribution time, maximize disaster - point satisfaction, and reduce logistics costs. Heuristic and metaheuristic algorithms are investigated for real - time solutions.

Emerging technologies like GIS, real - time traffic data, and IoT are emphasized for enhancing the distribution system's responsiveness. Operational strategies such as pre - positioning supplies, setting dynamic priority rules, and forming public - private partnerships are also discussed.

Simulation results indicate a 25-35% reduction in distribution time compared to traditional methods. A simplified simulated case shows that a scientific and technology - driven approach can outperform ad - hoc methods, enabling faster road recovery, efficient resource use, and greater societal resilience. This research offers a practical roadmap for urban managers to improve emergency material logistics in urban disaster response.

Keywords: Emergency Logistics; Material Distribution Optimization; Urban Road Maintenance; Torrential Rain Disaster; Multi-Objective Optimization; Heuristic Algorithms; GIS

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