移动人口普查用于监测城市快速发展
Gezhi Xiu1,2, Jianying Wang3, Thilo Gross4,5,6
1Institute of Remote Sensing and GIS, Peking University, Beijing, People's Republic of China.
Journal of the Royal Society, Interface
|May 8, 2024
概括
这项研究引入了一种分析人类流动性大数据的新方法,以了解城市发展. 它从移动通信数据中提取有意义的特征,以高分辨率和近乎实时的频率揭示城市动态.
科学领域:
- 城市研究 城市研究
- 数据科学数据科学数据科学
- 地理空间分析的研究.
背景情况:
- 传统的人口普查提供了有价值的城市数据,但可能缺乏快速发展的城市所需的时间分辨率.
- 像人类移动数据这样的大数据来源提供了潜在的可能性,但由于噪音和非结构化格式,它们也带来了挑战.
研究的目的:
- 开发和验证一种方法,从人类移动的大数据中提取有意义的变量和分类.
- 证明这种方法在监测城市结构和发展时具有高时空分辨率的实用性.
主要方法:
- 利用来自北京移动通信的人类运动数据.
- 开发了一种新的数据分析技术,从杂的非结构化移动数据中提取解释性特征和分类.
- 在500米空间分辨率和近实时频率下实现分析,具有高计算效率.
主要成果:
- 成功地从移动通信数据中提取了有意义的特征,揭示了城市动态.
- 证明了城市结构中分中心的出现和吸收.
- 展示了该方法适用于追踪事件驱动的移动性变化及其影响的适用性.
结论:
- 人类流动的大数据,当用适当的方法分析时,可以有效地补充城市监测的传统数据.
- 拟议的方法允许对城市动态进行高分辨率,近乎实时的分析,这对于理解当代城市发展至关重要.
- 这种方法提供了一种计算效率高的方法来追踪流动性变化对城市结构的影响.
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