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中国管理科学 ›› 2026, Vol. 34 ›› Issue (10): 209-219.doi: 10.16381/j.cnki.issn1003-207x.2024.2353

• • 上一篇    

基于综合匹配度的应急对口支援关系建模优化研究

刘明1(), 王洁1, 曹杰2   

  1. 1.南京理工大学经济管理学院,江苏 南京 210094
    2.南京工业大学应急管理学院,江苏 南京 211816
  • 收稿日期:2024-12-27 修回日期:2025-04-29 出版日期:2026-10-25 发布日期:2026-10-09
  • 通讯作者: 刘明 E-mail:liuming@njust.edu.cn
  • 基金资助:
    国家自然科学基金项目(72171119);国家自然科学基金项目(72571141);江苏省社会科学基金重点项目(24GLA001);国家社会科学基金重点项目(24AZD061)

Modeling and Optimization of Emergency Counterpart Assistance Relationship Based on Comprehensive Matching Degree

Ming Liu1(), Jie Wang1, Jie Cao2   

  1. 1.School of Economics and Management,Nanjing University of Science and Technology,Nanjing 210094,China
    2.School of Emergency Management,Nanjing Tech University,Nanjing 211816,China
  • Received:2024-12-27 Revised:2025-04-29 Online:2026-10-25 Published:2026-10-09
  • Contact: Ming Liu E-mail:liuming@njust.edu.cn

摘要:

对口支援制度是独具中国特色的国家治理方式,在应急救援中彰显了巨大价值,然而现有管理科学相关研究中,鲜有对这一应急实践进行具象化的模型构建。本文以重大突发公共卫生事件为背景,从资源匹配度、任务公平度、区域连通性等多维视角,创新设计应急对口支援结对关系的综合匹配度函数。在此基础上,建立考虑产能约束的多周期应急对口支援混合整数非线性规划模型,并进行等价线性转化,以便于求解。结果表明,需求较高的灾区,资源匹配度对配对结果影响更大;而需求较低的灾区则更易实现资源匹配与区域连通性的协同优化。此外,相比于医疗设备,应急消耗物资的产能限制放宽对综合匹配度的改善具有更显著的影响。

关键词: 重大公共卫生事件, 应急管理, 对口支援, 综合匹配度

Abstract:

China's counterpart support policy is a national governance approach with unique Chinese characteristics, which has demonstrated significant value in disaster response by enabling the directional flow and optimal allocation of emergency resources (including funds, equipment, and personnel) across affected regions through central government-led strategic planning and paired assistance mechanisms. This facilitates effective disaster mitigation and rapid economic recovery in recipient areas. However, theoretical research on emergency paired assistance lags behind practical applications, creating an academic motivation for this study.Taking a major public health emergency as the background, a multi-periods mixed integer nonlinear programming (MINLP) model for emergency paired assistance considering production capacity constraints is developed in this paper. The proposed model is subsequently transformed into an equivalent linear formulation for solvability. Distinct from existing studies, the contributions include: (1) an innovative composite matching function integrating three dimensions—demand fulfillment rate, task equity, and regional connectivity—to evaluate pairwise coordination between donor and recipient regions; (2) a production capacity-constrained multi-period MINLP model grounded in assignment theory, offering a novel perspective for establishing emergency assistance relationships; and (3) a versatile decision framework adaptable to human, material, and financial resource management, with potential applications extending beyond public health crises to earthquake relief, poverty alleviation programs, and other paired assistance scenarios.Computational experiments reveal that high-demand disaster zones exhibit greater sensitivity to resource matching efficiency, while low-demand zones allow synergistic optimization of resource allocation and regional connectivity. Human resources are found to be sufficiently available under China’s nationwide emergency mobilization system, whereas medical equipment and emergency consumables achieve near-100% utilization rates, indicating acute resource scarcity that necessitates accelerated production. Notably, relaxing production capacity constraints for emergency consumables yielded more pronounced improvements in composite matching performance compared to medical equipment.Managerial implications derived include (1) For high-demand disaster zones, “many-to-one” assistance models may outperform traditional “one-to-one” pairings in addressing multidimensional needs; (2) Emergency budgets and production capacity constraints demonstrate diminishing marginal returns on demand fulfillment, advocating for balanced resource allocation to avoid waste; and (3) Emergency resource security strategies should integrate emergency production and inventory management, with supply plans tailored to resource characteristics and demand dynamics for rapid crisis response.

Key words: major public health emergency, emergency management, counterpart assistance, comprehensive matching degree

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