Social sensing of urban land use based on analysis of Twitter users' mobility patterns.

ABSTRACT: A number of recent studies showed that digital footprints around built environments, such as geo-located tweets, are promising data sources for characterizing urban land use. However, challenges for achieving this purpose exist due to the volume and unstructured nature of geo-located social media. Previous studies focused on analyzing Twitter data collectively resulting in coarse resolution maps of urban land use. We argue that the complex spatial structure of a large collection of tweets, when viewed through the lens of individual-level human mobility patterns, can be simplified to a series of key locations for each user, which could be used to characterize urban land use at a higher spatial resolution. Contingent issues that could affect our approach, such as Twitter users' biases and te

SUBMITTER: Soliman A 

PROVIDER: S-EPMC5517059 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature