Research On Energy Efficiency Management Of Urban Passenger Transport

The high speed development of urbanization and motorization brings forth urban passenger transport development. But there exist some negative effects while we should pay close attention to. These negative effects include lots of energy consumption and environment polluting etc. Be confronted with the decreasing oil resources and increasing oil price, the energy conservation of the urban passenger transport has become very important. The energy efficiency of urban passenger transport has direct relation to the fuel consumption of vehicles and the transfer in different vehicles of urban passenger transport system. The thesis analyzed the energy efficiency management of the urban passenger transport deeply using the theory of management and system analysis. Pointed out the theories and methods how to make a reasonable plan about the urban passenger transport system management and use the theory to supervise the process.1. The thesis analyzed the urban passenger transport structure system through system analysis method and established the energy efficiency transport structure through the angles of transport structure energy efficiency and transport vehicles energy efficiency by analyzing the different transport vehicle rate in the urban passenger transport structure.2. Pointed out methods how to make a reasonable plan about the scale of bicycles. Analyzed the function of the energy efficiency about the urban passenger in transport both the bicycle and the transfer of ride mode between bicycles and urban passenger transports.3. Pointed out the ways, steps and methods how to make a reasonable plan about the public transport and enhance the reasonable share of public transportation in urban passenger transport system. Through comparative analysis, it can be concluded that passengers who adopt mobile transportation shift to the public transportation will reduce energy consumption. Based on technology feasible, economy reasonable and environment sustainable, the thesis proposed the strategic measure of the shift.4. Because of the increasing vehicles resulted in the more and more energy consumption the thesis established the forecast model about the amount of urban passenger transport vehicles based on artificial neural networks, through which can forecast the increasing rate of vehicles scientifically, constitute the effective policy and the law, guide the resident to take a rational auto purchase and a reasonable use, reduce the bicycle energy consumption.5. Constructed travel mode based on the utility maximizing individual journey and the social maximum utility energy conservation which can lead resident to choose rational trip mode and reduce the resident unit journey energy consumption.