Meta-analysis of shared micromobility ridership determinants

Shared micromobility (S mu M)-shared e-scooters and (e-)bikes-offer moderate-speed, spaceefficient, and carbon-light mobility, promoting environmental sustainability and healthy travel. S mu M benefits and S mu M data availability have fueled a growing literature that analyses S mu M ridership. We present a meta-analysis of 29 studies that estimate statistical models of zone- or station-based S mu M trip counts, including 22 that examine station-based bikeshare systems. The meta-analysis reveals positive elasticities between S mu M usage and population density (median elasticity of 0.16), employment density (0.07), median household income (0.33), 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 S mu M providers and transportation planners seeking to plan/design S mu M 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.