Assessment of the Bike Sharing Socioeconomic Equity in the Use of Routes
This work analyzes socioeconomic equity in bike sharing systems. For this purpose, we propose using Social Network Analysis tools to estimate the probability of connection between two stations depending on income and controlling for other predictors. The method was applied to a bike sharing system located in the city of Las Palmas de Gran Canaria, in Spain. Results show that stations located at lower-income neighborhoods present lower probability to generate routes, and that higher-income areas are more likely to be connected to each other. Our contribution consists in proposing a new method to analyze the effect of income on bike sharing systems based on routes.