智慧城市韧性评价与影响因素分析
CSTR:
作者:
作者单位:

江西理工大学经济管理学院,江西赣州 341000

作者简介:

郭金莹(2000—),女,硕士研究生,从事建筑经济与数字治理方面的研究。

通讯作者:

中图分类号:

F29

基金项目:

江西理工大学研究生创新专项资金资助项目(XY2024-S226)


Resilience evaluation and influencing factor analysis of smart cities
Author:
Affiliation:

School of Economics and Management, Jiangxi University of Science and Technology, Ganzhou 341000 , Jiangxi, China

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    随着城镇化进程的加速推进,城市病问题日益突出,智慧城市逐渐成为城市治理的重要方向。然而,当前智慧城市建设在城市韧性提升方面仍面临显著挑战。因此,韧性城市与智慧城市的协同发展将成为增强城市可持续性的关键路径。基于经济、生态、社会和基础设施4个维度构建城市韧性综合评价指标体系,选取我国15个副省级智慧城市2021年的截面数据,采用熵权法测度其韧性水平,并运用灰色关联分析探究韧性水平的影响因素。结果表明:1)我国15个副省级智慧城市的总体韧性水平处于中等偏下,呈现显著的“南强北弱”空间分异格局;2)城市韧性水平在很大程度上受经济韧性驱动,其中科学技术和教育支出占公共财政支出的比重对韧性提升的贡献率最高,其次为人均可支配收入,而进出口总额占GDP的比重影响最小。本文成果可为智慧城市建设与韧性提升的融合实践提供理论支撑与政策参考。

    Abstract:

    With the acceleration of urbanization, urban disease problems are becoming increasingly prominent, and smart cities have gradually become an important direction for urban governance. However, the construction of smart cities still faces significant challenges in improving urban resilience. Therefore, the coordinated development of resilient cities and smart cities will become a key path to enhance urban sustainability. A comprehensive evaluation index system for urban resilience based on four dimensions including economy, ecology, society and infrastructure is constructed. The cross-sectional data of 15 sub-provincial smart cities in China in 2021 are selected, and their resilience levels are measured by entropy weight method, and gray correlation analysis is used to explore the influencing factors of resilience levels. The results show that:1) The overall resilience level of 15 sub-provincial smart cities in China is at a moderate lower level, showing a significant spatial differentiation pattern of "strong south and weak north";2) The urban resilience level is largely driven by economic resilience, among which the proportion of science and technology and education expenditures in public fiscal expenditures has the highest contribution rate to the improvement of resilience, followed by per capita disposable income, while the proportion of total import and export to GDP has the least impact. The results can provide theoretical support and policy reference for the integrated practice of smart city construction and resilience improvement.

    参考文献
    相似文献
    引证文献
引用本文

郭金莹,徐水太.智慧城市韧性评价与影响因素分析[J].工程建设,2025,57(9):66-71

复制
分享
相关视频

文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2024-10-30
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2025-11-27
  • 出版日期:
文章二维码