As an important part of urban public transport, bus service quality is an important factor affecting the choice of passenger travel mode. This paper constructs a set of satisfaction evaluation indicator systems from the perspective of passenger perception, covering the whole travel process. It is composed of 6 first-level indexes (timeliness, safety, convenience, comfort, reliability and economy) and 21 second-level indexes. Considering the scale of bus service in Beijing, this research carried out a stratified sampling on 100 bus lines and collected 3012 field questionnaire surveys. The basic information of the bus routes investigated, demographic questions and their opinions of the satisfaction of the bus service were all recorded in the questionnaire. After testing the reliability and validity of the indicator system, the paper proposes a satisfaction evaluation model weighted by the related coefficient. The results show that overall satisfaction score is 78.2 and the proportion of bus passengers who are satisfied with the bus service nearly 70%. Multivariate analysis of variance methods were employed to evaluate the satisfaction influencing factors. Conclusions can be drawn that the satisfaction score of timeliness is lowest, which is mainly influenced by three factors: the passenger’s age, travel purpose and time. The research provides positive contributions toward normalizing performance evaluation for public transportation and enhancing the sustainable development of bus.

In the urban public transport system, the ground bus is always playing an important role in residents’ traveling due to its high accessibility. During the past two years, the attraction of the ground bus has declined because of mismatch between supply and demand. For ground bus, understanding the characteristics of space distribution and evolution of public transit demand will contribute to the optimization of public transport capacity scheduling, as well as the adjustment of network, thus improving the quality and attractiveness of ground bus services. This work uses bus GPS positioning data, IC card data, and AFC card data, based on four time dimensions: 2015 January, June, December, and 2016 June, to analyze the characteristics of regional public transport demand evolution. All data were offered by Transportation Operations Coordination Center. The study uses the daily average boarding and alighting volume of the bus stations, the daily average passenger volume of bus lines, and regional daily average occurrence volume at morning peak to present the demand of ground bus at different levels. Identification methods were established to recognize special region which is under strong demand fluctuation, combined with the case analysis of typical region to explore the cause of the fluctuation. The work provides data support on decision making for the ground public transportation system in order to enhance residents’ attraction and balance demand and supply.