A recent study published on arXiv investigates the self-loop phenomenon in Shanghai's bike-sharing system, where users frequently return bikes to the same station from which they rented them (F1). Employing a multiscale spatiotemporal heterogeneity analysis, the research examines how various socioeconomic factors and geospatial locations contribute to this behavior (F2, F3). The findings underscore the complexity of usage patterns and suggest that these patterns are influenced by both the surrounding environment and user demographics. Importantly, the study highlights implications for equitable access to bike-sharing services, indicating that understanding self-loop behavior can inform policies aimed at improving service distribution and accessibility (F4). This analysis contributes to ongoing discussions about optimizing urban mobility and ensuring fair access to shared transportation resources. The research aligns with broader policy considerations focused on enhancing the effectiveness and inclusivity of bike-sharing systems within urban settings.