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Bus travel time often fluctuates greatly due to disturbance factors such as traffic conditions and passenger flow, which causes a reduction in the transit service as it cannot be provided as planned. Bus dispatching is necessary to handle this problem. Two crucial factors for real-time bus dispatching have been analysed in this study namely the bus arrival time prediction and timetable redesign. First, a bus arrival time prediction model combining Support Vector Regression (SVR) and Kalman Filter (K-SVR) was proposed. The headway is selected as an intermediate variable to improve the prediction accuracy by limiting the disturbance factors between two adjacent bus stops. Besides, by adjusting the parameters of the Kalman Filter, the predictive results are more suitable for practice to avoid the frequency of unnecessary timetable adjustment. Furthermore, an automatic timetable redesign method is given based on the proposed circle search algorithm, which can minimise the impact on the initial schedule by finding the minimum adjustment range in consideration of the normal working order. A case study in Shenzhen, China was conducted and the results verify that the K-SVR method could improve the prediction accuracy especially in peak hours. On this basis, in comparison with the traditional method, the timetable redesign algorithm could allocate the transit resources appropriately and perform well on indicators such as the headway fluctuation, compliance rate of headways, and schedule completeness. Moreover, it is more operable and valuable as a result of sending the departure instructions appropriately and maintaining the normal working order of drivers realistically. [ABSTRACT FROM AUTHOR]

The cost-efficiency of public transport systems is a helpful measure for regulators to establish an effective subsidy mechanism. This study presents a cost-efficiency measurement model of bus routes based on stochastic frontier analysis, taking into account not only heterogeneous outputs but also operating environment factors. In addition, four new operating environment factors that can affect the efficiency of bus routes are introduced. An empirical analysis, based on 39 routes operating in Jiangyin City, China, is presented. It was found that vehicle kilometres have a bigger impact on total operating costs than other parameters such as fixed inputs and fuel price. Operating environment factors such as average bus stop density and the percentage of bus lanes have significant influences on cost-inefficiency differentials. Furthermore, the measurement of cost-efficiency enables identification of the difference between actual total operating costs and efficient total operating costs at a bus route level. The proposed approach could support regulators in setting reasonable cost benchmarks based on efficient total operating costs. [ABSTRACT FROM AUTHOR]