ODT FLOW: Extracting, analyzing, and sharing multi-source multi-scale human mobility.

ABSTRACT: 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 promo

SUBMITTER: Li Z 

PROVIDER: S-EPMC8341631 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature