地理科学

地理科学 ›› 2022, Vol. 42 ›› Issue (5): 863-873.doi: 10.13249/j.cnki.sgs.2022.05.012

• 青藏高原环境变化与人类活动专栏 • 上一篇    下一篇

区域一体化视角下的弹性城市评价——以长江三角洲地区为例

郑涛1,2,3,4(), 孙斌栋1,2,3,4,*(), 王艺晓1,2,3,4   

  1. 1.华东师范大学中国行政区划研究中心，上海 200241
    2.崇明生态研究院，上海 202162
    3.华东师范大学城市与区域科学学院，上海 200241
    4.华东师范大学未来城市实验室，上海 200241
  • 收稿日期:2021-03-14 修回日期:2021-06-23 出版日期:2022-05-10 发布日期:2022-07-11
  • 通讯作者: 孙斌栋 E-mail:zhengtao16@mails.ucas.ac.cn;bdsun@re.ecnu.edu.cn
  • 作者简介:郑涛（1994‒），男，江苏溧阳人，博士研究生，主要从事城市地理、区域经济研究。E-mail: zhengtao16@mails.ucas.ac.cn
  • 基金资助:
    国家社会科学基金项目(17ZDA068);国家社会科学基金项目(18ZDA105);国家自然科学基金项目资助(42001183);国家自然科学基金项目资助(41901184);国家自然科学基金项目资助(42071210)

Evaluation of Resilient Cities from the Perspective of Regional Integration: A Case Study of the Yangtze River Delta Region

Zheng Tao1,2,3,4(), Sun Bindong1,2,3,4,*(), Wang Yixiao1,2,3,4   

  1. 1. Research Center for China Administrative Division, East China Normal University, Shanghai 200241, China
    2. Institute of Eco-Chongming, Shanghai 202162, China
    3. School of Urban & Regional Science, East China Normal University, Shanghai 200241, China
    4. The Future City Lab, East China Normal University, Shanghai 200241, China
  • Received:2021-03-14 Revised:2021-06-23 Online:2022-05-10 Published:2022-07-11
  • Contact: Sun Bindong E-mail:zhengtao16@mails.ucas.ac.cn;bdsun@re.ecnu.edu.cn
  • Supported by:
    National Social Science Foundation of China(17ZDA068);National Social Science Foundation of China(18ZDA105);National Natural Science Foundation of China(42001183);National Natural Science Foundation of China(41901184);National Natural Science Foundation of China(42071210)

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摘要：

随着各种“城市病”问题层出不断，以及重大公共事件突发的不确定性，弹性城市正成为城市发展的新方向。在长江三角洲区域一体化上升为国家战略的背景下，利用熵值?综合指数法测算该地区41个城市2003—2018年弹性建设水平，并利用空间分析法考察其空间分布特征。研究表明：① 研究区内各城市综合弹性指数总体呈上升趋势，且各城市间差距不断缩小，基本形成沿长江、环杭州湾和浙南地区高水平弹性城市格局，但皖北、苏北等长江三角洲外围大部分地区仍处于较低弹性水平；② 各城市弹性指数在空间上呈现明显的集聚特征，“高?高”集聚于上海及其周边城市，“低?低”集聚于皖北、苏北地区，而湖州、宣城等市表现出“低?高”集聚特征；③ 工程、社会和经济弹性的分布与变化特征相对一致，直辖市、省会城市和经济强市水平较高，而研究区内的城市生态弹性水平普遍较低。未来长江三角洲地区城市工程、社会和经济弹性建设应着重缩小地区差距，自然本底较好地区应加强对生态环境的维护，经济发达地区则应提升生态环境治理水平。

关键词: 区域一体化, 弹性城市, 熵值法, 空间自相关, 长江三角洲地区

Abstract:

With the recent spread of emerging ‘urban diseases’ and the uncertainty of major public events, resilient cities are becoming a priority for urban development. Considering the regional integration in the Yangtze River Delta as national strategy, the article uses entropy-comprehensive index method to calculate the elastic construction level of 41 cities in the region from 2003 to 2018. Besides, a spatial analysis method was used to investigate the spatial distribution characteristics. Our findings show that: 1) The comprehensive elasticity index of all cities in the study area is on the rise, and the gap between cities is narrowing. A high-level elastic city pattern has been formed along the Yangtze River, around the Hangzhou Bay and in the southern Zhejiang Province. However, most of the peripheral areas of the Yangtze River Delta, such as northern Anhui Province and the northern Jiangsu Province, are still at a low elasticity level. 2) The elasticity indexes of all cities have obvious spatial clustering characteristics. ‘High-High’ clustering appears in Shanghai and its surrounding cities, ‘Low-Low’ clustering appears in northern Anhui Province and northern Jiangsu Province, and ‘Low-High’ clustering appears in Huzhou, Xuancheng and other cities. 3) The distribution of engineering, social and economic elasticity characteristics are relatively consistent, which are relatively high in the municipality directly under the central government, provincial capital and economically strong city. However, the level of urban ecological resilience in the study area is generally low. The results suggest that urban engineering, social and economic resilience construction in the Yangtze River Delta region should pay attention to narrowing the regional gap in the future, the regions with better natural background should strengthen the maintenance of ecological environment, and the economically developed regions should improve the level of ecological environment governance.

Key words: regional integration, elastic city, entropy method, spatial autocorrelation, Yangtze River Delta region

中图分类号: 

  • F129.9