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Urban Passenger Transport Carbon Footprint Calculations And Analysis Of Influencing Factors

Posted on:2016-11-10Degree:MasterType:Thesis
Country:ChinaCandidate:Y N WeiFull Text:PDF
GTID:2272330479493787Subject:Traffic Information Engineering & Control
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With the accelerating pace of China’s reform and opening-up, the economic and social development of our country is becoming more and more robust, the urbanization is growing rapidly, motorization degree is increasing sharply. Thus, the daily transportation activities in China become more frequent dramatically increased the demand for urban transportation. Frequent transportation activities cause a surge of energy consumption in our country, bring huge pressure to the energy supply, increase greenhouse gas emissions substantially, and bring huge environmental pollution. One of the most important concepts of the scientific outlook on development are to promote harmony between man and nature, and to promote the common development between economic development and the living environment. With the demand of always adhering to implement the scientific concept of development, building a harmonious social of environment friendly and low carbon development, improving energy efficiency, coordinating the contradiction between demand and supply, it’s the inevitable choice of our country to build a low-carbon, efficient transportation development mode.This paper takes the urban passenger traffic as the research object, firstly collect and analyze the related literature on traffic carbon footprint research to provide insight into carbon footprint theory research and the relevant activities and enrich the theoretical foundation of the thesis. Then, according to the present situation and composition of urban traffic in our country, constructed two kinds of urban traffic carbon footprint calculation model and carbon footprint strength calculation formula based on energy consumption and driving distance, and made a computational tool for carbon footprint of urban passenger transportation. After that analyzed the main influence factors of our country’s urban passenger transportation carbon footprint, mainly in the aspects of scale of urban development, urban space layout, the city’s economic development level, traffic infrastructure construction, the passenger traffic structure and carbon emission reduction technology. Finally, on the basis of the analysis of urban carbon footprint calculation model and influence factors, studied the optimization model for urban traffic, which made the minimum urban carbon footprint, in accordance with urban transportation energy demand, and met the needs of the urban development.This paper calculated the carbon emissions of passenger traffic and carbon emission intensity of different modes of transport of Guangzhou city in 2010, using the caculation model based on driving distance. The results show that the carbon emissions intensity of the rail transport is smallest, next to the bus, the car, and the largest is the taxi. Then, taking Guangzhou as an example, built a passenger transport carbon footprint impact factor model of Guangzhou, coming to a conclusion that the influence coefficient of the effects mode of science and technology investment and public transport passenger volume increment in Guangzhou is negative, so it’s illustrating that the increase of these two factors could help the city carbon emissions.Finally,optimized the passenger traffic structure of Guangzhou by the built model of urban traffic structure. The result is that the sharing ratio of the public transport system(rail transit and conventional public transport) should increase to 63.5%. Among them, the sharing ratio of rail traffic should increase by nearly 12.5%, and the car and taxi’s sharing ratios reduce greatly. Therefore, efforts should be made to develop large capacity public transport, especially the rail transit, so it’s conducive to the realization of energy saving, emission reduction and low carbon development, at the same time ensure the normal travel of city residents.
Keywords/Search Tags:Carbon Footprint Theory, Urban Passenger Transportation, Influence Factors, Partial Least Squares Theory, Traffic Structure Optimization
PDF Full Text Request
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