321 / 2019-02-20 09:46:31

Uncover Spatiotemporal Dynamics of Cycling Activities From A Dockless Bike-Sharing System

bike sharing,spatiotemporal analysis,mobility on demand,built environment

全体主题 > Land-use & Transportation modeling

The recent boom of sharing economy along with its technological underpinnings have brought new opportunities to urban transportation systems. Today, a new mobility option that provides station-less bike rental services is emerging. While previous studies mainly focus on analyzing station-based systems, little is known about how this new mobility service is used in cities. This research proposes an analytical framework to uncover the spatiotemporal dynamics of cycling activities from a dockless bike-sharing system. Using a four-month GPS dataset collected from a major bike-sharing operator in Singapore, we reconstruct the temporal usage patterns of shared bikes across urban locations and apply an eigendecomposition approach to uncover their hidden structures. Several key built environment indicators are then derived and correlated with the bicycle usage patterns.