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城市移动洞察力:用于探索网络拓和城市动态的数据集
D D Herrera-Acevedo1, D Sierra-Porta2
1Universidad Tecnológica de Bolívar, Facultad de Ingeniería, Parque Industrial y Tecnológico Carlos Vélez Pombo Km 1 Vía Turbaco, Cartagena de Indias, Bolívar 130010, Colombia.
Data in brief
|October 13, 2025
概括
这一数据集提供了65个城市的城市网络和社会人口统计数据,有助于移动准备分析. 它帮助城市评估其交通系统,并支持城市规划以实现可持续发展.
科学领域:
- 城市规划与网络科学 城市规划与网络科学
- 社会学和经济学的社会学和经济学.
背景情况:
- 城市流动的准备对于可持续发展至关重要.
- 像城市流动准备指数 (UMRi) 这样的现有指数提供了有价值的基准.
- 需要一个全面的数据集来分析各种城市环境中的网络结构和社会人口统计数据.
研究的目的:
- 为2023年65个全球城市提供一个新的城市网络结构和社会人口统计变量数据集.
- 为了方便分析网络拓和城市流动准备之间的关系.
- 为目前没有进入主要流动性排名的城市提供一个资源,以评估他们的准备.
主要方法:
- 基于城市流动准备指数 (UMRi) 的数据收集.
- 包括关键指标:图形,节点度,聚类系数,图形直径,人均GDP和人口密度.
- 为与分析工具集成而结构化的数据集.
主要成果:
- 一个针对65个城市的综合数据集,详细介绍城市网络拓和社会人口统计因素.
- 确定分析城市移动准备度所必需的关键指标.
- 该数据集使得与UMRi.com等既有指数进行比较分析成为可能.
结论:
- 该数据集是城市规划师和研究人员的宝贵资源.
- 它支持探索城市移动动态和战略开发.
- 促进可持续和高效的城市发展,特别是在服务不足的地区.
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