bike-share

Researchers at the University of California, Davis analyzed the difference in service levels among dock-based and dockless systems in the cities of San Francisco and Los Angeles and analyzed the spatial distribution of service areas, availability of bikes and bike idle times, trip statistics, rebalancing, and other metrics to understand how well or poorly these systems serve designated “communities of concern”.

Using San Francisco and Los Angeles as case studies, the research team quantifies bikeshare service levels for communities of concern (CoCs) by analyzing the spatial distribution of service areas, available bikes and bike idle times, trip data, and rebalancing among the dock-based and dockless systems.

In this study, the researchers examine the rate of bike-share adoption by individuals from different socio-demographic groups and living in different bicycling contexts.

This study employs a novel approach combining spatial analysis and Factor Analysis of Mixed Data (FAMD) to delve into bikeshare users’ perceptions and expectations based on bikeshare systems' online platforms for user feedback.

Associated publication from Journal of Transport Geography on whether dockless or dock-based Bikeshare systems better address enhancing equitable service level outcomes.

This article discusses the model researchers used to estimate potential bikeshare demand and its distribution, evaluating performance over a set of objectives to find the most equitable distribution of stations.

This paper develops a framework for estimating vehicle miles reduced from the introduction of bike-share service.

This study uses data from bike-share user surveys in the Sacramento region to perform market segmentation based on perceptions of the bike-share service, mode use patterns, and bike-share use.