Spatiotemporal variability and prediction of e-bike battery levels in bike-sharing systems.

ABSTRACT: Bike Sharing Systems (BSSs) play a crucial role in promoting sustainable urban mobility by facilitating short-range trips and connecting with other transport modes. Traditionally, most BSS fleets have consisted of mechanical bikes (m-bikes), but electric bikes (e-bikes) are being progressively introduced due to their ability to cover longer distances and appeal to a wider range of users. However, the charging requirements of e-bikes often hinder their deployment and optimal functioning. This study examines the spatiotemporal variations in battery levels of Barcelona's BSS, revealing that bikes stationed in the city's expansion area (Eixample) tend to have shorter rest periods and lower average battery levels. Additionally, to improve the management of e-bike fleets, a Markov-chain approach

SUBMITTER: Bassolas A 

PROVIDER: S-EPMC11871074 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature