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超级城市:复杂城市的数据驱动的可持续发展
Yunke Zhang1, Yuming Lin1, Guanjie Zheng2
1Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China.
Innovation (Cambridge (Mass.))
|February 24, 2025
概括
本文介绍了MetaCity,一个使用数据驱动方法优化城市资源分配以实现可持续发展的框架. 它解决了复杂城市中的污染和不平等等挑战.
科学领域:
- 城市规划 城市规划
- 环境科学 环境科学
- 数据科学数据科学数据科学
背景情况:
- 城市是复杂的系统,有相互关联的人类和环境元素.
- 城市化带来了机遇,但也带来了污染,拥堵和不平等等挑战.
- 大规模的城市数据为数据驱动的可持续发展解决方案提供了潜力.
研究的目的:
- 提供数据驱动的城市可持续性实践的全面概述.
- 将MetaCity概念化,这是一个优化城市资源使用和分配的框架.
- 探索数据驱动的技术,以解决城市复杂性和实现可持续发展目标.
主要方法:
- 概念化数据驱动的城市可持续发展的MetaCity框架.
- 分解城市可持续目标 (如效率,弹性).
- 在框架内整合城市问题发现,系统模拟和决策.
主要成果:
- "MetaCity"框架为城市可持续性提供了一个统一的方法.
- 数据驱动的方法可以解决城市系统中的复杂性.
- 优化资源配置是实现可持续发展目标的关键.
结论:
- 在像MetaCity这样的框架中集成的数据驱动方法对于可持续的城市发展至关重要.
- 通过数据分析和模拟来解决城市复杂性,可以实现更好的资源管理.
- 实现城市可持续性需要优化资源配置,以提高效率和弹性.
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