基于ANN-CA模型的城市增长边界的预测:广州的应用
Lijuan Zhang1,2, Zhenjie Liao1
1School of Management, Guangzhou Huashang College, Guangzhou, 511300, China.
Heliyon
|October 9, 2024
概括
城市增长的边界划定是可持续发展的关键. 一个人工神经网络-细胞自动机模型确定了广州的显著扩张,指导了未来的城市规划.
科学领域:
- 城市规划和发展.
- 地理信息系统 (GIS) 是指地理信息系统.
- 城市研究中的人工智能
背景情况:
- 城市增长边界 (UGB) 的划定对于中国的城市规划和全球可持续发展至关重要.
- 快速的城市化为管理城市扩张和土地利用带来了挑战.
- 现有的政策,比如
- 有三条控制线路.
- 需要有效的工具来实施.
研究的目的:
- 开发和应用一个创新的人工神经网络-细胞自动机 (ANN-CA) 模型,用于城市空间扩张模拟和UGB划分.
- 确定广州未来城市增长的关键领域.
- 为快速扩张的城市提供可持续城市规划的框架.
主要方法:
- 开发了一个影响因子模型,包括城市地形,环境,土地分类和社会经济因素.
- 采用人工神经网络-细胞自动机 (ANN-CA) 模型来模拟城市扩张,并为2030年划定UGB.
- 将保护区和可持续发展场景等限制因素纳入模拟中.
主要成果:
- 确定了南沙,潘和城地区作为2020年至2030年期间的主要城市扩张地区.
- 这些地区的模拟显著面积增加:南沙 (13.81公里2),潘 (8.94公里) 和城 (5.8公里).
- 建议在广州未来的城市扩建中优先考虑南部和东部地区.
结论:
- 在快速城市化的城市中,ANN-CA模型为UGB划分和城市扩张模拟提供了一个强大的框架.
- 这些发现支持广州的战略空间目标,并强调生态保护和密集土地利用.
- 该研究为国际城市增长管理和可持续发展战略提供了宝贵的见解.
相关概念视频
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
40
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
40
Manipulation and Analysis
21
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...
21
Levels of Use of a GIS
46
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...
46
Design Example: Alignment of a Road Line Using GIS
43
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
43
Selected Data About Geographic Locations
26
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...
26


