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Analysis of Spatial-Temporal Characteristics Based on Mobile Phone Data

机译:基于移动电话数据的空间特征分析

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The most traditional method to collect traffic data is household survey, which is a waste of manpower and material resources. OD matrices estimation using link volumes has been widely studied. But the significant shortcoming is the high cost of detectors. Besides, once installed in the network, the traffic detectors are not easy to be moved. Mobile phones' location data, however, can be acquired over a wider coverage without additional costs. The use of such data provides new spatiotemporal tools for improving urban transportation planning. This paper analyzes the nature and the pre-treatment of data from mobile phone operators in China and highlights the applicability of the data in domain of transportation. It also presents a typology of applications to analyze spatial-temporal characteristics based on mobile phone data.
机译:收集交通数据的最传统方法是家庭调查,这是一种浪费人力和物质资源。通过链路卷的OD矩阵估计已被广泛研究。但显着的缺点是探测器的高成本。此外,一旦安装在网络中,交通检测器不易移动。然而,移动电话的位置数据可以通过更广泛的覆盖范围来获取而无需额外的成本。这些数据的使用为改善城市交通规划提供了新的时空工具。本文分析了中国移动电话运营商数据的性质和预处理,并突出了数据在运输领域的适用性。它还提出了一种基于移动电话数据分析空间 - 时间特征的应用的类型。

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