| Bus is the most popular public transportation mode in the large or medium cities ofChina, the matching degree of bus transportation capacity influences the sustainabledevelopment of city public traffic. It is an effective measure to optimize the matchingdegree of bus transportation capacity for improving the level of public transport services,alleviating the congestion of city, guiding the low carbon of life and creating aharmonious environment. From the perspective of energy saving and emission reduction,the problems, including bus transportation structure configuration and bus linetransportation capacity configuration, are studied by multi-objective programmingmethod. The matching models are established. The main study works in this dissertationare as following:First, the influencing factors of bus transportation capacity configuration areanalyzed from the view of macroeconomic, medium and microcosmic. In macroscopicterms of influencing factors, the national policy, city scale, city economic andtechnological development, city environment are analyzed. In medium terms ofinfluencing factors, main including the characteristics of pasengers’ demands, full-loadratio of bus, road traffic conditions, capacity of lines and stations are analyzed. Inmicrocosmic terms of influencing factors, main including the purchase costs, operatingcosts, technical parameters of bus are analyzed.Secondly, bus transportation structure configuration is studied. First of all, thekinds and technical parameters of bus are analyzed, such as overall dimensions, specificpower, maximum climbing gradient, swerving radius and so on. Based on this analysis,the matching between bus transportation structure and road conditions is studied.What’s more, from the view of low carbon economy, the different kinds of bus carbonemissions and economic costs of bus carbon emissions are analyzed. Lastly, for thepurpose of minimizing the per capita cost, both of bus carbon emissions and publictransportation enterprise mode are established, constraints of the mode including busexhaust emissions, per capita carbon emissions, purchase costs, operating costs, scrapcosts and transportation scale and so on.Thirdly, a single bus line transportation capacity configuration model based onmultiple objective programming is established. In the model, the economic and environmental benefits are comprehensive considered. For the purpose of minimizingthe per capita cost of bus carbon emissions, public transportation enterprise and thetravel time cost of passenger, the multi-objective programming mode are established. Inorder to obtain the frequency, number and type of bus in a single bus line mode, manyconstraints are used, including the frequency of bus, traffic condition, passengersdemand and so on.Fourthly, the mode of transportation capacity configuration is verificated by usingPutian city bus as an example. |