Meta-analysis of Shared Micromobility Ridership Determinants

Shared micromobility (SμM), i.e., shared e-scooters and (e-)bikes, offer moderate-speed, space-efficient, and carbon-light mobility, promoting environmental sustainability and healthy travel. The benefits of SμM and the availability of SμM data have fuelled a growing literature analysing SμM ridership. We present a meta-analysis of 30 studies that estimate statistical models of zone- or station-based SμM trip counts. The meta-analysis reveals positive elasticities between SμM usage and population density (median elasticity of 0.16), employment density (0.07), median household income (0.37), bus stops (0.12), metro stations (0.17), bike infrastructure (0.09), and nearby station capacity (0.32). In contrast, station elevation has a negative elasticity. These magnitudes can inform SμM providers and transportation planners seeking to plan/design SμM systems to promote environmentally sustainable travel. Additionally, we critique the existing literature’s failure to (i) capture spatial dependencies, and (ii) discuss the practical implications of model parameters. Finally, we identify themes for future research.