【摘要】 中国城镇化进程在过去的几十年间不断加快，然而当快速扩张的“增量模式”开始向注重质量的“存量模式”发展时，一系列城市问题开始逐渐被暴露出来。城市公共空间的问题主要围绕街道展开，街道空间品质成为当下关注的焦点。大数据为当前的研究提供了更为科学严谨的研究方法。文章使用OSM城市路网数据、街景图像数据作为数据源，以青岛市北区为例，试图从大尺度范围探究城市街道的空间品质，以期为城市街道研究提供帮助。更多还原

【Abstract】 China’s urbanization process has been accelerating over the past decades, but as the “incremental mode” of rapid expansion begins to evolve into a “stock mode” that focuses on quality, a series of urban problems are gradually exposed. The problems of urban public space mainly revolve around streets, and the quality of street space has become the focus of attention nowadays. Big data provides a more scientific and rigorous research method for the current research environment. This paper uses OSM urban road network data and streetscape image data as data sources to explore the spatial quality of urban streets from a large scale by taking Shibei district in Qingdao as an example, in order to provide help for the research on urban street.更多还原