The invention discloses a people-vehicle multifactorial assessment method and system based on big data. The system performs analysis and specific logic rule analysis on obtained people, vehicle and environment mass data, and generates a criterion variable, a processing variable, a multitime processing variable and a metavariable set. Through a multi-angle model learning method, sub-models are established, and based on the sub-models, the system performs logic weight operation, and separately establishes a people-vehicle comprehensive assessment subsystem 08, a vehicle quality guarantee assessment subsystem 09, a vehicle fine assessment subsystem 10 and a vehicle owner credit analysis subsystem 11. The method and system can accurately realize people, vehicle and environment fragmentation information processing and positioning, radically solve the problem of information asymmetry of contracting parties in second-hand vehicle trading, and lack of quality assurance after second-hand vehicle multiple trading, increase vehicle re-trading values, meanwhile provide innovational business in the automobile insurance, automobile finance, automobile maintenance, automobile design and automobile related areas, and have great market values.