基于多源数据的城市街道空间品质探索--以厦门市为例

Exploration of the Urban Street Spatial Quality Based on Multi-source Data: A Case Study of Xiamen

城市街道空间品质对市民的身心健康与出行质量具有重要影响。文章对影响街道空间品质的因素进行分析梳理,基于街景、POI等多源数据,从安居、乐业、畅行、趣游四个维度构建街道空间品质指标体系,对街道空间品质进行评价;进而通过层次分析法对厦门火车站片区和杏林湾片区的街道进行对比研究,探索两个片区在不同指标维度上表现差异的影响因素与主客观结合测算得到的街道空间品质得分情况;对比发现街道空间品质影响最显著的为“安居”系列指标,为未来打造高品质街道提供了启示。

The quality of urban street space directly or indirectly affects the physical and mental health of citizens and the quality of travel. In this paper, we analyze and sort out the factors affecting the quality of street space, and construct a street space quality index system based on multiple sources of data such as streetscape and POI, which is safe to live, happy to work, smart to travel and interesting to visit. Then, through hierarchical analysis, we conduct a comparative study to evaluate the spatial quality of streets based on the content of the indicators. The comparison reveals that the most significant impact on the spatial quality of the streets is the series of indicators of“safe to live”, which provides insight into the future development of high-quality streets.