Evaluation model and empirical study on maturity of county-level flood emergency command capability based on social networks

doi:10.16265/j.cnki.issn1003-3033.2025.04.1107

Abstract

Abstract:

To gain a deep understanding and evaluate the command capability and current status of counties in response to flood disasters, this paper identified 12 major influencing factors through literature analysis. Social network analysis was conducted using Ucinet software, and Netdraw software was utilized for visualization to depict the social network relationship diagram among these influencing factors. By calculating the in-degree and out-degree, as well as centrality of the influencing factors, indicator classification was performed. Drawing on the maturity model of command and control capability, an assessment model based on social networks for the maturity of county-level flood disaster emergency command capability was developed. Puyang county was selected as the empirical research object. Through questionnaires and interviews, a total of 342 data entries from 24 townships in Puyang County were collected to evaluate the county's flood disaster emergency command capability. The results indicate that it is feasible to classify indicators hierarchically through social network analysis. The established indicator system is scientifically and accurately reflected in the comprehensive operational level of county-level flood disaster emergency command. The assessment model can effectively evaluate the maturity levels of emergency command capability.

Key words: social network, county-level flood disaster, emergency command capability, maturity, evaluation model

CLC Number:

X915.5

QIAN Hongwei, LI Xinyao. Evaluation model and empirical study on maturity of county-level flood emergency command capability based on social networks[J]. China Safety Science Journal, 2025, 35(4): 241-246.

Figures/Tables 5

Table 1

Table 2

Fig.1

Table 3

Table 4

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编号	影响因素	出现频次
M₁	应急预案完善度及可操作性	45
M₂	应急演练水平	27
M₃	组织结构	50
M₄	财政保障	17
M₅	应急监测与预警功能	55
M₆	信息传递与反馈情况	38
M₇	响应速度/能力	33
M₈	指挥官指挥能力	27
M₉	专家参与度	19
M₁₀	资源调度能力	49
M₁₁	智能化水平	20
M₁₂	高效的管理机制	38

编码	M₁	M₂	M₃	M₄	M₅	M₆	M₇	M₈	M₁₀	M₁₁	M₁₂
M₁	0	1	0	0	1	1	1	1	1	0	1
M₂	1	0	1	0	1	1	1	1	1	0	1
M₃	0	0	0	1	0	0	1	1	0	0	1
M₄	1	1	0	0	1	0	0	0	1	1	0
M₅	1	0	0	0	0	1	1	0	0	1	0
M₆	0	0	0	0	0	0	1	0	1	0	0
M₇	0	1	0	0	0	1	0	1	0	0	0
M₈	0	1	0	0	0	0	1	0	1	0	1
M₉	1	1	0	0	0	0	0	0	0	0	0
M₁₀	0	1	0	1	0	0	1	0	0	0	0
M₁₁	0	0	0	0	1	1	0	0	0	0	1
M₁₂	1	1	0	0	1	1	1	1	1	0	0

编码	影响因素	点出度	点入度	度中心度	绝对中介中心度	相对中介中心度
M₁	应急预案完善度及可操作性	7	5	12	8.167	7.424
M₂	应急演练水平	8	7	15	26.500	24.091
M₃	组织结构	4	1	5	1.083	0.985
M₄	财政保障	5	2	7	6.583	5.985
M₅	应急监测与预警功能	4	5	9	7.000	6.364
M₆	信息传递与反馈情况	2	6	8	2.917	2.652
M₇	响应速度/能力	3	8	11	6.917	6.288
M₈	指挥官指挥能力	4	5	9	2.000	1.818
M₉	专家参与度	2	0	2	0.000	0.000
M₁₀	资源调度能力	3	6	9	12.167	11.061
M₁₁	智能化水平	3	2	5	1.083	0.985
M₁₂	高效的管理机制	7	5	12	8.583	7.803

等级	标准
第1级	A、B、C类评价指标均未达到合格水平
第2级	C类评价指标达到合格及以上水平,A类和B类评价指标均未达到合格水平
第3级	B类评价指标达到合格及以上水平,A类和C类评价指标均未达到合格水平
第4级	A类评价指标达到合格及以上水平,B类和C类评价指标均未达到合格水平
第5级	B类和C类评价指标均达到合格及以上水平,A类评价指标未达到合格水平
第6级	A类和C类评价指标均达到合格及以上水平,B类评价指标未达到合格水平
第7级	A类和B类评价指标均达到合格及以上水平,C类评价指标未达到合格水平
第8级	A、B、C类评价指标均达到合格及以上水平

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