中文摘要：

针对地铁系统,本文利用智能卡的地铁刷卡时空数据,重建了地铁站点客流量的时间分布,在此基础上进行聚类分析,识别了地铁站点周边的职住用地,并利用GIS手段进行了空间可视化分析,最后采用详细建筑GIS数据进行了验证。实验结果表明。地铁站点周边的土地利用类别对居民地铁出行需求有重要影响。本研究为理解城市土地利用和交通系统的互动提供了新途径。

英文摘要：

This paper proposes a smart card data-based approach to identify home and work land use regions in the vicinity of metro stations.First,temporal distributions of normalized passenger flow in metro stations are reconstructed.Then,passenger flow is clustered using hierarchical clustering.Land use type of neighborhood region around the metro station is inferred from the temporal features of passenger flow.Finally,we evaluate the obtained results using detailed building footprint data.The experiment was conducted with five days＇ smart card data of Shenzhen in GIS environment.The obtained results reveal the close relationship between smart card data and land use,and provide a new approach for understanding the interaction of land use and transportation system.