Explorative Analysis of Wuhan Intra-Urban Human Mobility Using Social Media Check-In Data.

ABSTRACT: Social media check-in data as a geo-tagged information source have been used for revealing spatio-temporal patterns in the field of social and urban study, such as human behavior or public issues. This paper investigates a case study and presents a new method of representing the mobility of people within a city from check-in data. By dividing the data in a temporal sequence, this study examines the overall mobility in the case study city through the gradient/difference of population density with a series of time after computing the population density from the check-in data using an incorporated Thiessen polygon method. By classifying check-in data with their geo-tags into several groups according to travel purposes, and partitioning the data according to administrative district boundaries,

SUBMITTER: Li L 

PROVIDER: S-EPMC4545943 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature