A New User-Based Incentive Strategy for Improving Bike Sharing Systems’ Performance

The benefits of having a Bike Sharing System (BSS) in city are numerous. Among other advantages, it promotes cleaner environment with less traffic and pollution. One major problem the users such services encounter is that full or empty stations, causing user dissatisfaction. objective this work to propose new user-based incentive method enhance BSS performance. proposed relies on spatial outlier detection algorithm. It consists adapting departure arrival stations state by stimulating change their journeys view minimizing number stations. Experiments carried out compare our some existing methods for enhancing resource availability BSSs, they performed real dataset issued from well-known called Velib. results show strategy improves resources, even when collaboration partial.