Model Construction and Analysis of Bus User Portrait Based on Multivariate Data Fusion

In recent years, under the great social background of rapid development of the national economy and continuous improvement of residents’ living standards, the existing construction speed and scale of transportation infrastructure can not meet the increasing needs of urban transportation, and the contradiction between supply and demand is prominent. The key to solving a series of problems, such as urban traffic congestion caused by the increasing number of motor vehicles, is to promote public transportation vigorously. In the field of public transport, there are still a series of problems in current public transport, including unclear hot spots and unreasonable route planning. With the emergence of big data technology, a large amount of user travel data may be utilized for traffic planning, network construction, and user demand analysis of public transport systems. This paper introduces the establishment of urban user portrait labels based on public transport travel data of Suichang County, deconstructs and analyzes passenger flow, and puts forward application suggestions for the public transport system from the perspective of time and space, which has far-reaching significance for its route management and sustainable operation.