Shao Yinghui, Han Wei, Jin Min, Wang Lizhe
School of Computer Science, China University of Geosciences, Wuhan, China.
Department of Electronic Information Engineering, Wuhan Business University, Wuhan, China.
iScience. 2025 Jun 18;28(7):112927. doi: 10.1016/j.isci.2025.112927. eCollection 2025 Jul 18.
Urban agglomerations are crucial for achieving the United Nations Sustainable Development Goals (SDGs). However, uncertainties remain in the indicators and methodologies used to measure their sustainability. This paper establishes and analyzes the SDGs network at national and urban agglomeration levels, highlighting that urban agglomerations are key scale to achieving sustainable development but are far more complex than a single city scale. Then, this paper proposes an assessment framework for urban agglomeration, which includes indicators, methodological approaches, and validation processes. By introducing the multi-level coupling coordination degree, various influencing mechanisms are integrated into the evaluation stage. In addition, this paper constructs redundancy and sensitivity analyses and establishes a correlation network between indicators and SDGs to collectively validate the robustness and international compatibility of the indicator system. This study provides strong support for understanding and promoting the sustainable development of urban agglomerations, contributing to the achievement of the 2030 Agenda.
城市群对于实现联合国可持续发展目标（SDGs）至关重要。然而，用于衡量其可持续性的指标和方法仍存在不确定性。本文建立并分析了国家和城市群层面的可持续发展目标网络，强调城市群是实现可持续发展的关键尺度，但远比单一城市尺度复杂得多。然后，本文提出了一个城市群评估框架，其中包括指标、方法路径和验证过程。通过引入多层次耦合协调度，将各种影响机制纳入评估阶段。此外，本文构建了冗余度和敏感度分析，并建立了指标与可持续发展目标之间的关联网络，以共同验证指标体系的稳健性和国际兼容性。本研究为理解和促进城市群的可持续发展提供了有力支持，有助于实现《2030年议程》。
