Revealing urban area from mobile positioning data.

ABSTRACT: Researchers face the trade-off between publishing mobility data along with their papers while protecting the privacy of the individuals. In addition to the anonymization process, other techniques, such as spatial discretization and location concealing or removal, are applied to achieve these dual objectives. The primary research question is whether concealing the observation area is an adequate form of protection or whether human mobility patterns in urban areas are inherently revealing of location. The characteristics of the mobility data, such as the number of activity records in a given spatial unit, can reveal the silhouette of the urban landscape, which can be used to infer the identity of the city in question. The presented locating method was tested on multiple cities using differen

SUBMITTER: Pinter G 

PROVIDER: S-EPMC11681113 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature