Scenario analysis of the energy demand and CO₂ emission reduction potential of the urban transport system of Beijing through 2030

Scenario analysis of the energy demand and CO₂ emission reduction potential of the urban transport system of Beijing through 2030

Abstract

An assessment of the energy demand and the potential for sector-based emission reductions will provide necessary background information for policy makers. In this paper, Beijing was selected as a special case for analysis in order to assess the energy demand and potential of CO₂ abatement in the urban transport system of China. A mathematical model was developed to generate three scenarios for the urban transport system of Beijing from 2010 to 2030. The best pattern was identified by comparing the three different scenarios and assessing their urban traffic patterns through cost information. Results show that in the high motorization-oriented pattern scenario, total energy demand is about 13.94% higher, and the average CO₂ abatement per year is 3.38 million tons less than in the reference scenario. On the other hand, in the bus and rail transit-oriented scenario, total energy demand is about 11.57% less, and the average CO₂ abatement is 2.8 million tons more than in the reference scenario. Thus, Beijing cannot and should not follow the American pattern of high motorization-oriented transport system but learn from the experience of developed cities of Europe and East Asia.

Keywords

scenario analysis / urban traffic pattern / energy demand / reduction potential

参考文献

[1] Mao H X. Research on person trip characteristics of Chinese citizens. Dissertation for the Doctoral Degree. Beijing: Beijing Polytechnic University, 2005 (in Chinese)

[2] Langel A. Sustainable transport in Davis. World Transport Policy & Practice, 2007, 13(3): 8-22

[3] Pucher J, Renne J. Socioeconomics of urban travel: evidence from the 2001 NTHS. Transportation Quarterly, 2003, 57(3): 12

[4] Ranjan K B. Energy demand and environmental implications in urban transport-case of Delhi. Atmospheric Environment, 1996, 30(3): 403-412

[5] Cooper J, Ryley T, Smyth A, Granzow E. Energy use and transport correlation linking personal and travel related energy uses to the urban structure. Environmental Science & Policy, 2001, 4(6): 307-318

[6] Huang C, Chen C H, Wang B Y, Dai Y, Zhao J, Wang H K. Urban travel modal split and its impact on energy and environment. Journal of Highway and Transportation Research and Development, 2005, 22(11): 163-166 (in Chinese)

[7] Qiu L X, Chen Y, Zhao D Q, Cai G T, Chen Y, Hu X L, Jiang K J. Scenario analysis of passenger traffic development in Guangzhou until 2020. Acta Scentlarum Naturalium Universitatis Sunyatsen, 2008, 47(Z1): 114-118 (in Chinese)

[8] Hu X L, Jiang K J. Evaluation of Technology and countermeasure for greenhouse gas mitigation in China. Beijing: China Environmental Science Press, 2001 (in Chinese)

[9] Zhou D D. China Sustainable Energy Scenarios in 2020. Beijing: China Environmental Science Press, 2003 (in Chinese)

[10] Bruee B, The Future of the US Motor Vehicle Emission Control Program, Manufactures of Emission Control Association, 1997

[11] Wang J W. Research on air environment influence of sustainable development urban transport. Dissertation for the Master Degree. Xi’an: Chang’an University, 2005 (in Chinese)

[12] IPCC Working Group III. The Fourth Assessment Report of the IPCC. London: Cambridge University Press, 2007

[13] IEA. World Energy Outlook 2009.

[14] Xiong W, Chen X H. Comparison of urban traffic patterns between domestic and overseas cities. City Planning Review, 2009, 33(3): 56-66 (in Chinese)

[15] Stephen M. Street & Patterns. New York: Spon Press, 2005

[16] Chen G, Cao G Y, Liu Y B, Pang L H, Zhang L, Ren Q, Wang H T, Zheng X Y. The Future Population of Beijing—A Projection on the Population. Human Capital and Urbanization using PDE Model, Population and Development, 2006, 12(4): 29-41(in Chinese)

[17] Ma X H, Hou Y F. A Study on Beijing’s Population Variation Trend in the Future 50 Years. Market and Demographic Analysis, 2004, 10(2): 46-62 (in Chinese)

[18] Caltrop E, Proost S. Road transport externalities. Environment and Resource Economics, 1998, 11(3,4): 335-348

[19] Litman T. Full cost accounting of urban transportation: Implication and tools. Software Review, 1997, 14(3): 169-174

[20] Bosi M, Ellis J. Exploring options for sectoral crediting mechanisms. OECD/IEA, 2005

版权

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg