曲靖师范学院学报 ›› 2023, Vol. 42 ›› Issue (5): 17-26.

• 省域副中心城市建设研究 • 上一篇    下一篇

基于TOPSIS模型的曲靖城市韧性评价

朱海燕1, 徐安妮2   

  1. 1.曲靖师范学院 文化旅游学院,云南 曲靖 655011;
    2.曲靖第一中学麒麟学校,云南 曲靖 655011
  • 收稿日期:2023-06-13 出版日期:2023-09-26 发布日期:2023-12-01
  • 作者简介:朱海燕,曲靖师范学院文化旅游学院教授,主要从事城市与区域发展研究。
  • 基金资助:
    云南省哲学社会科学规划项目“云南乡村振兴与新型城镇化融合发展研究”(YB2021021)。

Urban Resilience Assessment Based on TOPSIS Model in Qujing

ZHU Haiyan1, XU Anni2   

  1. 1. School of Culture and Turism, Qujing Normal University:
    2. No.1 High School of Qilin District,Qujing Yunnan 655011,China
  • Received:2023-06-13 Published:2023-09-26 Online:2023-12-01

摘要: 以曲靖市下辖9个区县为研究对象,从经济、社会、生态三个层面选取13个指标构建城市韧性指标体系,利用熵值法、TOPSIS模型对2007-2020年9个区县的城市综合韧性及分项韧性水平进行评价。结果表明9个县区城市韧性水平在2007-2021年呈逐步上升趋势,整体发展较好。分项来看,生态韧性波动起伏,经济韧性和社会韧性逐步上升;各区县城市综合韧性水平和分项韧性水平的排名存在较大差异:麒麟区的综合韧性水平最高,宣威市、沾益区紧随其后,马龙区排名最后;经济韧性和社会韧性水平最高的依然是麒麟区,生态韧性水平排名前三的是宣威市、师宗县和马龙区;在空间分异格局上,曲靖市的韧性水平表现为聚散程度不均衡,聚类指数高的地区分布在中部和东部地区。

关键词: 城市韧性, 区县尺度, TOPSIS模型, 曲靖市

Abstract: The urban resilience index system is built based on the concept of toughness and the social, economic, ecological data from 2007 to 2020 by using TOPSIS model. The results show that the social and economic resilience in all the districts and counties Qujing is increasing steadily. In particular, the ecological resilience is fluctuating while the social and economic resilience is steadily increasing. There is great difference in the comprehensive urban resilience and specific resilience. For the comprehensive resilience, Qilin District is the highest followed by Xuanwei and Zhanyi, and Malong is the lowest; as for the economic, socialresilience, Qilin District is still the highest while the top three in the ecological resilience are Xuanwei, Shizhong, and Malong. In the spatial differentiation pattern, the toughness level of Qujing city shows the unbalanced degree of convergence and dispersion and the urban resilience gradually gathers to the areas with high cluster index, and the regions with high cluster index are distributed in the central and eastern regions.

Key words: urban resilience, district-county scale, TOPSIS model, Qujing

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