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相关概念视频

Sustainable Development01:43

Sustainable Development

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As the human population continues to grow and use resources, we must be mindful of our planet’s natural limits. Sustainable development provides a pathway to maintain and improve human life now while also ensuring that future generations will have the resources that they need. The long-term success of sustainability efforts rests on understanding the interplay between human actions and ecological systems.
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Selected Data About Geographic Locations01:25

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Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
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Design Example: Sustainability in Concrete Building01:26

Design Example: Sustainability in Concrete Building

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As the construction industry moves towards more eco-friendly practices, concrete's adaptability and its ability to incorporate sustainable features make it a key material in the drive towards greener building solutions.
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Levels of Use of a GIS01:29

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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...
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相关实验视频

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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
PubMed
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.

关键词:
人工智能的人工智能是人工智能.数据驱动的方法数据驱动的方法可持续发展的发展是可持续的发展.城市复杂系统的城市复杂系统.

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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.