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基于复杂适应系统理论的城市韧性研究——以兰西城市群为例。

Study on Urban Resilience from the Perspective of the Complex Adaptive System Theory: A Case Study of the Lanzhou-Xining Urban Agglomeration.

机构信息

College of Geography and Environment Science, Northwest Normal University, Lanzhou 730070, China.

Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730070, China.

出版信息

Int J Environ Res Public Health. 2022 Oct 21;19(20):13667. doi: 10.3390/ijerph192013667.

DOI:10.3390/ijerph192013667
PMID:36294255
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9602742/
Abstract

In the context of global environmental change and continuous urbanization, enhancing urban resilience is an important way to improve urban emergency management capacity and achieve sustainable development of urban systems. It is of great significance to clarify the mechanisms and effects of urban resilience and carry out resilience measurement to improve the level of urban system resilience and alleviate the pressure of environmental disturbances on the stable operation of urban systems. As an important part of the "Belt and Road" Initiative and one of the few leading economic regions in western China, promoting the high-quality development of the Lanzhou-Xining urban agglomeration is of profound significance for strengthening ethnic unity and stabilizing the northwest and southwest regions. Based on the complex adaptive system (CAS) theory and the adaptive cycle model, this study understands urban resilience as the comprehensive result of urban system stability, self-organization, learning adaptability and transformability, constructs a multi-level open index evaluation system, and analyzes the spatio-temporal evolution characteristics of urban resilience of the Lanzhou-Xining urban agglomeration from the proposed design to the formal planning in 2010-2017. The findings are as follows: (1) Research on the urban resilience of the Lanzhou-Xining urban agglomeration verifies the applicability of the evolutionary urban resilience analysis framework and makes preliminary findings on urban resilience based on CAS theory, which provide a certain theoretical reference for the research on the spatio-temporal evolution of urban resilience. (2) From 2010 to 2017, significant differences are observed between various urban attributes. Resilience exhibits an overall upward trend, and spatial evolution changes from a double core (Lanzhou and Xining) to three cores (Lanzhou, Xining and Haidong) and polycentric modes. (3) Based on urban resilience characteristics and an urban system adaptability cycle model, this paper divides the Lanzhou-Xining urban agglomeration cities into four types (exploitation-reorganization, conservation-release, conservation-exploitation and exploitation), and proposes corresponding adaptive management countermeasures. These could be adopted as a reference to promote the high-quality development of the Lanzhou-Xining urban agglomeration.

摘要

在全球环境变化和持续城市化的背景下,提高城市韧性是增强城市应急管理能力和实现城市系统可持续发展的重要途径。明确城市韧性的机制和效应,开展韧性测度,提高城市系统韧性水平,缓解环境扰动对城市系统稳定运行的压力,具有重要意义。作为“一带一路”倡议的重要组成部分和中国西部为数不多的领先经济区之一,推动兰西城市群高质量发展,对于加强民族团结、稳定西北和西南地区具有深远意义。本研究基于复杂适应系统(CAS)理论和自适应循环模型,将城市韧性理解为城市系统稳定性、自组织、学习适应性和转化性的综合结果,构建了多层次的开放指标评价体系,并从 2010 年提出构想至 2017 年正式规划,分析了兰西城市群城市韧性的时空演变特征。研究结果表明:(1)兰西城市群城市韧性研究验证了进化城市韧性分析框架的适用性,基于 CAS 理论对城市韧性进行了初步探索,为城市韧性的时空演变研究提供了一定的理论参考;(2)2010-2017 年,各城市属性之间存在显著差异。韧性呈现出整体上升的趋势,空间演化由双核心(兰州和西宁)转变为三核心(兰州、西宁和海东)和多核心模式;(3)基于城市韧性特征和城市系统适应性循环模型,将兰西城市群城市分为开发-重组型、保护-释放型、保护-开发型和开发-破坏型四种类型,并提出了相应的适应性管理对策。这可为推动兰西城市群高质量发展提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc7a/9602742/abf57e3f5c7e/ijerph-19-13667-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc7a/9602742/02872bdf9189/ijerph-19-13667-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc7a/9602742/80b11d20beae/ijerph-19-13667-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc7a/9602742/908fdb157113/ijerph-19-13667-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc7a/9602742/da54c93f943e/ijerph-19-13667-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc7a/9602742/19b58773de9b/ijerph-19-13667-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc7a/9602742/abf57e3f5c7e/ijerph-19-13667-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc7a/9602742/02872bdf9189/ijerph-19-13667-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc7a/9602742/80b11d20beae/ijerph-19-13667-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc7a/9602742/908fdb157113/ijerph-19-13667-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc7a/9602742/da54c93f943e/ijerph-19-13667-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc7a/9602742/19b58773de9b/ijerph-19-13667-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc7a/9602742/abf57e3f5c7e/ijerph-19-13667-g006.jpg

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