关键词: 交通工程, 公共交通, 交通效益, DEA模型, 指标体系, 超效率分析

Abstract: Aiming at the problems of different cities with different benefits of conventional public transport and low benefits of some cities, the DEA model with 10 indexes as influencing factors was established on the basis of the statistical data of public transport in each city, considering the influence objects such as travelers, government departments and public transport companies. The 10 indexes included the daily average passenger traffic volume of conventional public transport on the ground, the ownership rate of public transport for ten thousand people, the density of public transport network, the coverage rate of stations, the share rate of public transport for residents, and the public transport lines, waiting time per capita, average transfer times, non-linear coefficient, and daily average exhaust emissions. The public transport operation conditions of 8 cities in China were evaluated and relevant conclusions were obtained. The research shows that the data envelopment analysis method (DEA) is suitable for super-efficiency analysis of conventional bus traffic benefits in different cities. The analysis shows that the efficiency value of Xi’an is the largest and Shantou is the smallest; in addition, the public transport efficiency values of Xining, Taiyuan and Jilin are roughly the same. The research results are helpful to find out the reasons for the low efficiency of urban public transport and provide theoretical basis for improving the service level of urban public transport operation.

Key words: traffic engineering, public transit, traffic benefits, DEA model, index system, super-efficiency analysis