Research of Intelligent Analysis based on 12328 Transportation Service Supervision Hotline Data

Based on large scale of calling record data collected by 12328 Transportation Service Supervision Hotline System, this paper conduct serveral analysis from the hotline's complaint issues. For the urban passenger traffic field, studies on the population-based number of complaint issues were conducted to analyze the operational service level of Shanghai, Beijing and other cities with large populations and relatively well-developed public transportation systems. Frequently reported complaint issues and its time distributions in Shanghai were also concluded as a part of research outcomes. Furthermore, this paper established an assessment method towards complaint issues on urban passenger traffic field, the assessment indicators were designed out of consideration on the perspectives of quantity, efficiency and quality. Combining with the recent hot issues of epidemic prevention and anabatic cargo transportation problem, this paper carried out a text clustering method based on LDA topic method, four types of critical cargo transpotation problems throughout the hotline's receving issues were clustered as the meaningful results of the algorithmic experiment.