从2020年1月起,塔林的道路网络的图形分解数据集从2020年1月起开始 OpenStreetMap数据数据
Mahdi Rasoulinezhad1, Nasim Eslamirad1,2, Jenni Partanen1,3
1Department of Civil Engineering & Architecture, Tallinn University of Technology, Tallinn, Estonia.
Data in brief
|July 17, 2025
概括
本研究介绍了塔林的道路网络图形分解的详细数据集,使得城市街道结构的分析成为可能. 本资源有助于理解城市形态和网络模式.
科学领域:
- 城市形态学城市形态学
- 网络科学 网络科学
- 地理信息科学 地理信息科学
背景情况:
- 城市道路网络展示了影响城市功能的复杂结构.
- 图形分解为量化局域网拓提供了一种方法.
- 之前的分析缺乏城市道路网络的全面图形数据集.
研究的目的:
- 为塔林的道路网络提供一套新的图形分解数据集.
- 为生成此类数据集提供可复制的方法.
- 促进城市街道结构和形态学的定量分析.
主要方法:
- 截至2020年1月,利用了Tallinn道路网络的OpenStreetMap (OSM) 数据.
- 使用Python ORbit计数算法 (PyORCA) 进行以节点为中心的图表计数.
- 开发了一个处理管道,包括图形构建和转换到GIS格式 (CSV,Shapefile).
主要成果:
- 为每个交叉点生成了所有四节点图形配置的综合数据集.
- 数据集以可访问的CSV和ESRI形状文件格式提供.
- 方法详细说明可重复性和适用于其他城市地区的方法.
结论:
- 该数据集使得城市街道模式和形态学的详细分析成为可能.
- 促进城市结构的比较研究和网络分析.
- 支持城市规划,交通和可持续发展方面的研究.
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