Due to imbalanced rental demand, public bike stations confront such issues as few bikes or few parking slots available. This study builds a temporal-spatial model to capture the above hot spots via 6 steps and 5 indicators. Operational characteristics of the hot spots were assessed based on a case study of Taipei U-bike. It was found the preferred bike utilization would be around 60%~70% to remain a well-functioning system. Conclusions and suggestions were made at the end for future research.