Unknown

Dataset Information

Investigating the potential of aggregated mobility indices for inferring public transport ridership changes.


ABSTRACT: Aggregated mobility indices (AMIs) derived from information and communications technologies have recently emerged as a new data source for transport planners, with particular value during periods of major disturbances or when other sources of mobility data are scarce. Particularly, indices estimated on the aggregate user concentration in public transport (PT) hubs based on GPS of smartphones, or the number of PT navigation queries in smartphone applications have been used as proxies for the temporal changes in PT aggregate demand levels. Despite the popularity of these indices, it remains largely untested whether they can provide a reasonable characterisation of actual PT ridership changes. This study aims to address this research gap by investigating the reliability of using AMIs for infe

SUBMITTER: Lizana M 

PROVIDER: S-EPMC10769062 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature