Abstract: An evaluation method of locations, an analysis method of driving behavior, and a driver management system are provided. In the method, sensing data is obtained. A parking state is determined according to the sensing data. A parking location category corresponding to the sensing data under the parking state is obtained. A location suggestion model is trained according to the parking location category and the sensing data. The location suggestion model is used for suggesting a parking location. The location suggestion model is trained through a machine learning algorithm. An energy-saving score of the sensing data is determined according to one or more energy-saving factors. The driving behavior report is generated according to the energy-saving scores. The energy-saving factor is a factor that affects energy consumption of the vehicle. The driving behavior report describes whether the energy-saving score is good or bad. Accordingly, the training and work efficiency could be improved.