广州市中心城区街道通行便捷性数据集

2015年12月，习近平总书记在中央城市工作会议上强调“坚持以人民为中心的发展思想，坚持人民城市为人民”，城市的街道是人群体验城市建设、感知城市温度的重要空间，人群使用街道空间期间的舒适便捷水平是衡量一个城市的规划是否以人为本的重要标准。本数据集以广州市中心城区越秀区的街道为研究区域，利用最新年份的大规模的百度街景数据与开源道路数据，通过图像语义分割等机器学习方法与地理信息空间分析技术，计算各条街道的机动化程度、步行化程度、街道连接度等衡量街道通行便捷性的指标，最后统计形成越秀区各条街道包含3个通行便捷性指标的数据集。本数据集可为挖掘城市空间规划现存问题、提升城市空间品质提供重要的数据与技术支撑。

In December 2015, General Secretary Xi Jinping emphasized at the Central Urban Work Conference that we must adhere to the people-centered development philosophy and uphold the principle that "cities are for the people". Urban streets are critical spaces for residents to experience urban construction and perceive the warmth of a city. The comfort and convenience experienced by people when using street spaces serves as a key criterion for judging whether a city’s planning is people-oriented. This dataset takes the streets within Yuexiu District, the central urban area of Guangzhou, as the research area. Leveraging large-scale Baidu Street View data from the most recent year and open-source road network data, as well as machine learning methods including image semantic segmentation and geographic information system (GIS) spatial analysis technologies, we calculated multiple indicators measuring street travel convenience, such as motorization degree, pedestrianization degree, and street connectivity. Finally, a dataset containing these three travel convenience indicators for each street in Yuexiu District was compiled. This dataset can provide important data and technical support for exploring existing problems in urban spatial planning and improving urban spatial quality.

搜集汇总

数据集介绍

特点

该数据集以广州市中心城区越秀区的街道为研究区域，通过机器学习方法和地理信息空间分析技术，计算了各条街道的机动化程度、步行化程度和街道连接度等通行便捷性指标。数据集主要服务于城市规划和管理部门，用于城市规划和精细化管理，同时也适用于高校和研究机构的相关研究。