nav emailalert searchbtn searchbox tablepage yinyongbenwen piczone journalimg journalInfo journalinfonormal searchdiv searchzone qikanlogo popupnotification paper paperNew
2026, 07, v.26 2750-2761
基于XGBoost-SHAP的城市安全韧性与高质量发展耦合协调及影响因素——以郑州都市圈为例
基金项目(Foundation): 国家社会科学基金项目(23ZDA117,20BJY043)
邮箱(Email): l201657194@163.com;
DOI: 10.13637/j.issn.1009-6094.2025.1465
发布时间: 2026-05-11
出版时间: 2026-05-11
网络发布时间: 2026-05-11
移动端阅读
摘要:

探究郑州都市圈城市安全韧性与高质量发展的耦合协调机理,既是应对极端气候变化下城市复合灾害风险演化的现实需求,更是化解区域安全发展系统性矛盾的关键。以郑州都市圈9座城市为研究对象,基于演化韧性理论,综合运用熵权与逼近理想解排序法(Technique for Order Preference by Similarity to Ideal Solution, TOPSIS)、耦合协调度模型,分析2010—2023年郑州都市圈城市安全韧性和高质量发展的时空演化特征,并刻画两系统之间的耦合协调关系;借助极限梯度提升(eXtreme Gradient Boosting, XGBoost)决策树和夏普利加性解释(SHapley Additive exPlanations, SHAP)模型探寻两者耦合协调的驱动机理。结果表明:(1)2010—2023年,郑州都市圈城市安全韧性水平和高质量发展水平总体呈上升发展态势,但郑州都市圈城市内部结构非均衡性明显,从空间分布上看,均呈现“以郑州市为核心,外延式扩张”的空间分布格局;(2)研究期内,郑州都市圈城市安全韧性和高质量发展的耦合协调水平呈上升趋势,且耦合协调水平差异不断缩小,耦合协调类型经历了濒临失调、勉强协调、初级协调、中级协调、良性协调和高级协调六个发展阶段,从空间分布看,呈现“核心-边缘”特征,形成“以郑州市为核心,向四周辐射”的发展态势;(3)郑州都市圈城市安全韧性与高质量发展耦合协调遵循“信息-物理-社会-生态”驱动机理。为此,提出重塑三元空间发展格局、推动生态效能系统升级、优化区域协同机制的发展策略,为提升郑州都市圈城市安全韧性与高质量协调发展提供理论支撑。

Abstract:

Focusing on the nine cities within the Zhengzhou Metropolitan Circle, this study employs evolutionary resilience theory to analyze the spatiotemporal evolution of urban safety resilience and high-quality development from 2010 to 2023. Methodologically, it integrates the entropy-weighted technique with the Technique for Order Preference by Similarity to Ideal Solution(TOPSIS) method and a coupling coordination degree model to characterize the interdependencies between these two systems. eXtreme Gradient Boosting(XGBoost) and SHapley Additive exPlanations(SHAP) models further identify the driving mechanisms behind their coupling coordination degree. The research findings reveal that:(1) From 2010 to 2023, the levels of safety resilience and high-quality development in the cities of the Zhengzhou Metropolitan Circle have generally increased, although the internal structure remains notably unbalanced. Phased analysis indicates that urban safety resilience underwent an initial development phase from 2010 to 2015, followed by a rapid development phase from 2016 to 2020, and has since entered a period of steady growth post-2020. In contrast, high-quality urban development experienced rapid advancement from 2010 to 2013, a transformative phase from 2014 to 2018, and has been in a collaborative enhancement phase since 2018. Spatially, the distribution pattern can be characterized as “centered on Zhengzhou City and expanding outward”. Regions with medium-to-high resilience levels show a northwest-to-southeast distribution, while those with medium-to-high levels of high-quality development follow a similar pattern.(2) Throughout the study period, the coupled coordination level of urban safety resilience and high-quality development in the Zhengzhou Metropolitan Circle has demonstrated an increasing trend, with a narrowing gap in the levels of coordination. The types of coupled coordination have progressed through six developmental stages: near-disorder, barely coordinated, primary coordination, intermediate coordination, benign coordination, and advanced coordination. From a spatial distribution perspective, the coupling and coordination between urban safety resilience and high-quality development generally exhibit a ‘core-periphery' structural pattern, fostering a development trajectory centered on Zhengzhou City with outward radiation. Significant disparities exist among the cities regarding the levels of coupling and coordination.(3) The coupling and coordination level of urban safety resilience and high-quality development in the Zhengzhou Metropolitan Circle is driven by an “information-physical-social-ecological” mechanism. Consequently, a development strategy is proposed to reshape the ternary spatial development pattern, enhance the upgrading of the ecological efficiency system, and optimize regional synergy mechanisms. This approach aims to provide theoretical support for improving urban safety resilience and promoting coordinated high-quality development within the Zhengzhou Metropolitan Circle.

参考文献

[1] 王业宁,张小磊,赵永江,等.河南省高质量发展水平动态评价研究[J].地域研究与开发,2023,42(6):33-39.Wang Yening,Zhang Xiaolei,Zhao Yongjiang,et al.Dynamic evaluation of high quality development in Henan Province[J].Areal Research and Development,2023,42(6):33-39.

[2] 李崔茜,王义保,刘志翔.居民感知视角下城市公共安全韧性评估及提升路径研究:以南京市为例[J].中国安全科学学报,2024,34(9):209-216.Li Cuixi,Wang Yibao,Liu Zhixiang.Study on resilience assessment and improvement path of urban public safety from perspective of residents' perception:taking Nanjing as an example[J].China Safety Science Journal,2024,34(9):209-216.

[3] Holling C S.Understanding the complexity of economic,ecological and social systems[J].Ecosystems,2001,4(5):390-405.

[4] 宋周莺,虞洋,刘慧,等.跨境重大自然灾害防灾减灾机制及建议[J].科技导报,2020,38(16):88-95.Song Zhouying,Yu Yang,Liu Hui,et al.The cooperation mechanism of cross-border natural disaster prevention and mitigation[J].Science & Technology Review,2020,38(16):88-95.

[5] 杨敏行,黄波,崔翀,等.基于韧性城市理论的灾害防治研究回顾与展望[J].城市规划学刊,2016(1):48-55.Yang Minxing,Huang Bo,Cui Chong,et al.A Review and outlook on disaster prevention and mitigation based on resilient city theory[J].Urban Planning Forum,2016(1):48-55.

[6] 黄弘,李瑞奇,范维澄,等.安全韧性城市特征分析及对雄安新区安全发展的启示[J].中国安全生产科学技术,2018,14(7):5-11.Huang Hong,Li Ruiqi,Fan Weicheng,et al.Analysis on characteristics of safety resilient city and enlightenments for safe development of Xiongan New Area[J].Journal of Safety Science and Technology,2018,14(7):5-11.

[7] Cutter S L,Barnes L,Berry M,et al.A place-based model for understanding community resilience to natural disasters[J].Global Environmental Change,2008,18(4):598-606.

[8] 李亚,翟国方.我国城市灾害韧性评估及其提升策略研究[J].规划师,2017,33(8):5-11.Li Ya,Zhai Guofang.China's urban disaster resilience evaluation and promotion[J].Planners,2017,33(8):5-11.

[9] 许兆丰,田杰芳,张靖.防灾视角下城市韧性评价体系及优化策略[J].中国安全科学学报,2019,29(3):1-7.Xu Zhaofeng,Tian Jiefang,Zhang Jing.Urban resilience evaluation system and optimization strategy from perspective of disaster prevention[J].China Safety Science Journal,2019,29(3):1-7.

[10] 孙慧,原伟鹏.西部地区经济韧性与经济高质量发展的关系研究[J].区域经济评论,2020(5):23-35.Sun Hui,Yuan Weipeng.A study on the relationship between economic resilience and high-quality economic development in Western China[J].Regional Economic Review,2020(5):23-35.

[11] 陈为公,张娜,张友森,等.基于DEMATEL-ISM的城市灾害韧性影响因素研究[J].灾害学,2021,36(1):1-6,17.Chen Weigong,Zhang Na,Zhang Yousen,et al.Study on influencing factors of urban disaster resilience based on DEMATEL-ISM[J].Journal of Catastrophology,2021,36(1):1-6,17.

[12] 刘鹏,张书菡,张勤.推进社区韧性治理高质量发展的实践路径研究[J].中国行政管理,2024(1):151-159.Liu Peng,Zhang Shuhan,Zhang Qin.Research on the practical path of promoting high quality development of community resilience governance[J].Chinese Public Administration,2024(1):151-159.

[13] 樊杰.“十四五”“十五五”时期的区域协调发展及其经济地理学定律[J].经济地理,2025,45(1):1-7.Fan Jie.Regional coordinated development and its economic geography principles during the 14th Five-Year Plan and the 15th Five-Year Plan Periods[J].Economic Geography,2025,45(1):1-7.

[14] 范维澄.以安全韧性城市建设推进公共安全治理现代化[J].人民论坛·学术前沿,2022(增刊1):14-24.Fan Weicheng.Modernizing public safety governance with the construction of a safe and resilient city[J].Frontiers,2022(S1):14-24.

[15] 黄弘,范维澄.构建“安全韧性城市”:概念、理论与实施路径[J].北京行政学院学报,2024(2):1-9.Huang Hong,Fan Weicheng.Building “safe and resilient cities”:concepts,theories,and implementation approaches[J].Journal of Beijing Administration Institute,2024(2):1-9.

[16] 朱虎啸,欧向军,杨振,等.都市圈高质量发展及其驱动因素:以徐州都市圈为例[J].资源科学,2025,47(2):294-309.Zhu Huxiao,Ou Xiangjun,Yang Zhen,et al.High-quality development of metropolitan regions and its driving factors:a case study of the Xuzhou Metropolitan Region[J].Resources Science,2025,47(2):294-309.

[17] 康艳青,李春荷,朱永明.黄河流域城市群高质量发展评估与空间分异研究[J].生态经济,2023,39(2):86-91.Kang Yanqing,Li Chunhe,Zhu Yongming.High-quality development assessment and spatial differentiation of urban agglomeration in the Yellow River Basin[J].Ecological Economy,2023,39(2):86-91.

[18] 中华人民共和国国务院灾害调查组.河南郑州“7·20”特大暴雨灾害调查报告[EB/OL].(2022-01-21)[2025-06-12].https://www.mem.gov.cn/gk/sgcc/tbzdsgdcbg/202201/P020220121639049697767.pdf.Disaster Investigation Team of the State Council of the People's Republic of China.Investigation Report on the extraordinary heavy rain disaster in Zhengzhou,Henan on July 20[EB/OL].(2022-01-21)[2025-06-12].https://www.mem.gov.cn/gk/sgcc/tbzdsgdcbg/202201/P020220121639049697767.pdf.

[19] 邵帅,葛力铭,朱佳玲.人与自然何以和谐共生:地理要素视角下的环境规制与环境福利绩效[J].管理世界,2024,40(8):119-146.Shao Shuai,Ge Liming,Zhu Jialing.How to achieve the harmony between humanity and nature:environmental regulation and environmental welfare performance from the perspective of geographical factors[J].Journal of Management World,2024,40(8):119-146.

[20] 魏敏,李书昊.新时代中国经济高质量发展水平的测度研究[J].数量经济技术经济研究,2018,35(11):3-20.Wei Min,Li Shuhao.Study on the measurement of economic high-quality development level in China in the new era[J].Journal of Quantitative & Technological Economics,2018,35(11):3-20.

[21] 王淑佳,孔伟,任亮,等.国内耦合协调度模型的误区及修正[J].自然资源学报,2021,36(3):793-810.Wang Shujia,Kong Wei,Ren Liang,et al.Research on misuses and modification of coupling coordination degree model in China[J].Journal of Natural Resources,2021,36(3):793-810.

[22] 刘海龙,安芷萱,王焕珂,等.京津冀城市群县域城市韧性与创新效率耦合协调时空演变及影响因素的空间异质性[J].地理研究,2025,44(2):577-602.Liu Hailong,An Zhixuan,Wang Huanke,et al.The coupling of urban resilience and innovation efficiency for coordinated spatio-temporal evolution and spatial heterogeneity in the Beijing-Tianjin-Hebei urban agglomeration[J].Geographical Research,2025,44(2):577-602.

[23] 刘家福,张柏豪,祝悦,等.吉林省松花江流域城市洪灾韧性与生态系统服务耦合研究[J].安全与环境学报,2024,24(12):4870-4880.Liu Jiafu,Zhang Baihao,Zhu Yue,et al.Investigation into the coupling of urban flood resilience and ecosystem services in the Songhua River Basin,Jilin Province[J].Journal of Safety and Environment,2024,24(12):4870-4880.

[24] Lundberg S M,Lee S I.A unified approach to interpreting model predictions[C]//31st Conference on Neural Information Processing Systems,December 3-9,2017,Long Beach,CA,USA.Vancouver:Neural Information Processing Systems Foundation,2017:4765-4774.

[25] 河南省人民政府.河南省人民政府关于印发河南省“十四五”应急管理体系和本质安全能力建设规划的通知[EB/OL].(2022-02-23)[2025-06-12].https://www.henan.gov.cn/2022/02-23/2403410.html.The People's Government of Henan Province.Notice of the People's Government of Henan Province on issuing the Henan Province 14th Five-Year Plan for emergency management system and intrinsic safety capacity development[EB/OL].(2022-02-23)[2025-06-12].https://www.henan.gov.cn/2022/02-23/2403410.html.

[26] Zhu Shiyao,Feng Haibo,Arashpour M,et al.Enhancing urban flood resilience:a coupling coordinated evaluation and geographical factor analysis under SES-PSR framework[J].International Journal of Disaster Risk Reduction,2024,201:104243.

[27] 张悦倩,刘全龙,李新春.长三角城市群城市韧性与新型城镇化的耦合协调研究[J].城市问题,2022(5):17-27.Zhang Yueqian,Liu Quanlong,Li Xinchun.Spatiotemporal evolution of the coupling coordination of urban resilience and new urbanization in the urban agglomeration of Yangtze River delta[J].Urban Problems,2022(5):17-27.

[28] 任捷,王迪,王雅荣,等.黄河流域城市安全韧性正态云模型构建及时空分布研究[J].安全与环境学报,2025,25(2):633-645.Ren Jie,Wang Di,Wang Yarong,et al.Research on the development of a normal cloud model for urban safety resilience and its spatial-temporal distribution in the Yellow River basin[J].Journal of Safety and Environment,2025,25(2):633-645.

[29] 王璇,王成新,史佳璐.中原城市群城市韧性时空演进及跃迁机制[J].地理科学,2024,44(7):1206-1216.Wang Xuan,Wang Chengxin,Shi Jialu.Spatial and temporal evolution of urban resilience and its transition mechanism in Zhongyuan Urban Agglomeration[J].Geographical Science,2024,44(7):1206-1216.

[30] 王永明,郑姗姗.地方政府应急管理效能提升的多重困境与优化路径:基于“河南郑州‘7·20’特大暴雨灾害”的案例分析[J].管理世界,2023,39(3):83-96.Wang Yongming,Zheng Shanshan.Multiple dilemmas and optimization path for improving the efficiency of local government emergency management:case analysis based on Henan Zhengzhou torrential rain-caused disaster on July 20[J].Journal of Management World,2023,39(3):83-96.

[31] 王永杰,陈渝.条块联动与松散耦合:城市突发自然灾害应急协作网络的动态演变:来自郑州“7·20”特大暴雨灾害的案例分析[J].理论探讨,2025(2):112-122.Wang Yongjie,Chen Yu.Block-based coordination and loose coupling:the dynamic evolution of emergency collaboration networks for urban natural disasters:a case study of the July 20th torrential rain disaster in Zhengzhou[J].Theoretical Investigation,2025(2):112-122.

基本信息:

DOI:10.13637/j.issn.1009-6094.2025.1465

中图分类号:TU984.116;X4;F299.27

引用信息:

[1]李冲,齐际龙,程书波.基于XGBoost-SHAP的城市安全韧性与高质量发展耦合协调及影响因素——以郑州都市圈为例[J].安全与环境学报,2026,26(07):2750-2761.DOI:10.13637/j.issn.1009-6094.2025.1465.

基金信息:

国家社会科学基金项目(23ZDA117,20BJY043)

发布时间:

2026-05-11

出版时间:

2026-05-11

网络发布时间:

2026-05-11

检 索 高级检索