ODT FLOW: Extracting, analyzing, and sharing multi-source multi-scale human mobility.
ODT FLOW: Extracting, analyzing, and sharing multi-source multi-scale human mobility.
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DOI：
10.1371/journal.pone.0255259
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发表时间：
2021
期刊：
影响因子：
3.7
通讯作者：
Li X
中科院分区：
文献类型：
--
作者：
Li Z;Huang X;Hu T;Ning H;Ye X;Huang B;Li X
为应对人类流动数据需求的飙升，特别是在COVID-19大流行等灾难事件期间，以及相关的大数据挑战，我们开发了一个可扩展的在线平台，用于提取，分析和共享多源多规模的人类流动流。在该平台内，提出了一个起点-目的地-时间（ODT）数据模型，与可扩展的查询引擎一起工作，以处理具有广泛空间覆盖的大量异构移动数据，这允许在服务器端并行地高效提取、查询和聚合十亿级的起点-目的地（OD）流。一个交互式的空间门户网站，ODT流浏览器，允许用户探索多源移动数据集与用户定义的时空尺度。为了提高可重复性和可复制性，我们进一步开发了ODT Flow REST API，为研究人员提供了通过工作流、代码和程序以编程方式访问数据的灵活性。提供演示来说明API与科学工作流和Applyter Notebook环境集成的潜力。我们相信，该平台加上衍生的多尺度流动数据，可协助在灾害事件（例如持续的COVID-19大流行）期间进行人员流动监测和分析，并使科学界和公众了解人员流动动态。
In response to the soaring needs of human mobility data, especially during disaster events such as the COVID-19 pandemic, and the associated big data challenges, we develop a scalable online platform for extracting, analyzing, and sharing multi-source multi-scale human mobility flows. Within the platform, an origin-destination-time (ODT) data model is proposed to work with scalable query engines to handle heterogenous mobility data in large volumes with extensive spatial coverage, which allows for efficient extraction, query, and aggregation of billion-level origin-destination (OD) flows in parallel at the server-side. An interactive spatial web portal, ODT Flow Explorer, is developed to allow users to explore multi-source mobility datasets with user-defined spatiotemporal scales. To promote reproducibility and replicability, we further develop ODT Flow REST APIs that provide researchers with the flexibility to access the data programmatically via workflows, codes, and programs. Demonstrations are provided to illustrate the potential of the APIs integrating with scientific workflows and with the Jupyter Notebook environment. We believe the platform coupled with the derived multi-scale mobility data can assist human mobility monitoring and analysis during disaster events such as the ongoing COVID-19 pandemic and benefit both scientific communities and the general public in understanding human mobility dynamics.
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