Meta-analysis of shared micromobility ridership determinants

Abstract

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

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