中国安全科学学报 ›› 2026, Vol. 36 ›› Issue (1): 234-241.doi: 10.16265/j.cnki.issn1003-3033.2026.01.1174

• 防灾减灾技术与工程 • 上一篇    下一篇

长三角自然灾害跨域协作网络的结构特征及其驱动因素

张晓君1(), 胡义1, 唐睿彬2,**()   

  1. 1 福州大学 经济管理学院,福建 福州 350108
    2 贵州省信息中心,贵州 贵阳 550001
  • 收稿日期:2025-09-25 修回日期:2025-11-05 出版日期:2026-01-28
  • 通信作者:
    ** 唐睿彬(2000—),女,贵州贵阳人,硕士研究生,研究方向为应急协同治理、人工智能与应急管理等。E-mail:
  • 作者简介:

    张晓君 (1990—),男,福建泉州人,博士,教授,博士生导师,主要从事应急管理政策、公共安全与应急管理等方面的研究。E-mail:

  • 基金资助:
    国家社会科学基金(25BZZ065)

Structural characteristics and driving factors of cross-regional collaborative networks for natural disasters in Yangtze River delta

ZHANG Xiaojun1(), HU Yi1, TANG Ruibin2,**()   

  1. 1 School of Economics and Management, Fuzhou University, Fuzhou Fujian 350108, China
    2 Information Centre of Guizhou Province, Guiyang Guizhou 550001, China
  • Received:2025-09-25 Revised:2025-11-05 Published:2026-01-28

摘要:

为探求自然灾害跨域合作的优化路径,聚焦长三角这一跨省域协作先行区,运用社会网络分析方法分析长三角自然灾害跨区域应急协同网络,从网络整体特征和节点特征等方面评估长三角地区自然灾害治理的跨区域协作程度,并通过二次指派程序(QAP)分析识别出推动长三角跨区域自然灾害协同治理的驱动因素。结果表明:长三角应急管理专题合作组成立以来,城市间合作壁垒逐渐被打破,长三角自然灾害跨区域应急协同网络趋于密集,区域间的合作治理愈发频繁;以三省一市为代表的省级政府是协同网络中的主导方,以宣城、嘉兴、苏州为代表的市级政府是协同网络中的积极推动者;地理位置、产业结构、交通基础设施、省际隶属和历史合作关系是长三角跨区域自然灾害应急协同治理形成的主要因素。

关键词: 长三角地区, 自然灾害, 跨域协作网络, 结构特征, 驱动因素, 社会网络分析, 二次指派程序(QAP)

Abstract:

To optimize the pathways for cross-regional collaboration in natural disaster management, focused on Yangtze River delta—a pioneering region in cross-provincial collaborative practices—and employed social network analysis and QAP analysis to construct a cross-regional emergency collaboration network for natural disaster response in the area. The study examined both the overall and nodal characteristics of the network to assess the current state of cross-regional emergency collaboration and identify the driving factors behind such cooperation. The results indicate that with the establishment and development of Yangtze River delta emergency management task force, intercity collaboration barriers have gradually diminished, and the emergency collaboration network has become increasingly dense, reflecting more frequent interregional cooperative governance. Provincial governments, represented by the three provinces and one municipality (Jiangsu, Zhejiang, Anhui and Shanghai), serve as the dominant actors in the collaborative network, while municipal governments such as Xuancheng, Jiaxing, and Suzhou act as proactive facilitators. Key factors driving the formation of this cross-regional collaborative governance mechanism include geographical proximity, industrial structure, transportation infrastructure, interprovincial administrative relationships, and historical cooperative ties.

Key words: Yangtze River delta region, natural disasters, cross-regional collaborative governance network, structural characteristics, driving factors, social network analysis, quadratic assignment procedure (QAP)

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