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- 2018
利用时序手机通话数据识别城市用地功能
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Abstract:
城市土地利用是人的活动与城市物质空间交互所表现出的综合结果，因此人的活动与城市土地利用功能密切相关；具有不同时间段人的活动的空间聚集与分散规律的区域，其所属的社会功能属性亦不相同。随着大数据时代的到来，以居民手机数据为代表的基于位置的服务数据（local basic service，LBS）大量出现，使得实现时空全覆盖和精细化地监测城市人的活动成为可能。因此，利用手机数据的优势，能够实现从人的角度来区分识别城市用地功能类型。利用手机通话详单数据（call detail records，CDRs）提取面向地块尺度的居民通话聚合时序特征，提出了一种城市土地利用类型谱聚类识别方法。以武汉市为例进行实验分析，结果表明，该方法识别城市土地利用的平均精度为54.6%，为探知城市土地利用空间分布提供了一个有效的方法
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