Inventory and Policy Reduction Potential of Greenhouse Gas and Pollutant Emissions of Road Transportation Industry in China

In recent years, emissions from the road transportation industry in China have been increasing rapidly. To evaluate the reduction potential of greenhouse gas and pollutant emissions of the industry in China, its emission inventory was calculated and scenario analysis was created for the period between 2012 and 2030 in this paper. Based on the Long-range Energy Alternatives Planning System (LEAP) model, the development of China’s road transportation industry in two scenarios (the business-as-usual (BAU) scenario and the comprehensive-mitigation (CM) scenario) was simulated. In the Comprehensive Mitigation scenario, there are nine various measures which include Fuel Economy Standards, Auto Emission Standards, Energy-saving Technology, Tax Policy, Eco-driving, Logistics Informatization, Vehicle Liquidation, Electric Vehicles, and Alternative Fuels. The cumulative energy and emission reductions of these specific measures were evaluated. Our results demonstrate that China’s road transportation produced 881 million metric tons of CO 2 and emitted 1420 thousand tons of CO, 2150 thousand tons of NO x , 148 thousand tons of PM 10 , and 745 thousand tons of HC in 2012. The reduction potential is quite large, and road freight transportation is the key mitigation subsector, accounting for 85%–92% of the total emission. For energy conservation and carbon emission mitigation, logistics informatization is the most effective method, potentially reducing 1.80 billion tons of coal equivalent and 3.83 billion tons of CO 2 from 2012 to 2030. In terms of air pollutant emission mitigation, the auto emission standards measure performs best with respect to NO x , PM 10 , and HC emission mitigation, and logistic informatization measure is the best in CO emission reduction. In order to maximize the mitigation potential of China’s road transportation industry, the government needs to implement various measures in a timely and strict fashion.

[1]  Bryan W. Karney,et al.  Long-term scenario alternatives and their implications: LEAP model application of Panama׳s electricity sector , 2014 .

[2]  Zhu Liu,et al.  China's Carbon Emissions Report 2016 , 2016 .

[3]  J. Burniaux,et al.  Mitigation potential of removing fossil fuel subsidies: a general equilibrium assessment , 2010 .

[4]  Zhao Tao,et al.  Research on the prospects of low-carbon economic development in China based on LEAP model , 2011 .

[5]  Qipeng Sun,et al.  Calculation and Analysis of Transportation Energy Consumption Level in China , 2010 .

[6]  A.J.H. Visschedijk,et al.  A revised estimate of copper emissions from road transport in UNECE-Europe and its impact on predicted copper concentrations , 2007 .

[7]  E Dooley.  Institute for Energy and Environmental Research , 2002, Environmental Health Perspectives.

[8]  Carlos Chavez-Baeza,et al.  Sustainable passenger road transport scenarios to reduce fuel consumption, air pollutants and GHG (greenhouse gas) emissions in the Mexico City Metropolitan Area , 2014 .

[9]  Master Student,et al.  Vehicle Emission and Near-Road Air Quality Modeling in Shanghai, China, Based on Taxi GPS Data and MOVES Revised Emission Inventory , 2013 .

[10]  Michael Sivak,et al.  Eco-driving: Strategic, tactical, and operational decisions of the driver that influence vehicle fuel economy , 2012 .

[11]  Jong-Wook Kim,et al.  Analysis on the level of contribution to the national greenhouse gas reduction target in Korean transportation sector using LEAP model , 2016 .

[12]  Can Wang,et al.  CO2 mitigation scenarios in China’s road transport sector , 2007 .

[13]  Yoshitsugu Hayashi,et al.  Strategies and instruments for low-carbon urban transport: An international review on trends and effects , 2013 .

[14]  Lee Schipper,et al.  Transport and Carbon Dioxide Emissions: Forecasts, Options Analysis, and Evaluation , 2009 .

[15]  Anil Singh,et al.  Trends of greenhouse gas emissions from the road transport sector in India. , 2008, The Science of the total environment.

[16]  Roberto Bellasio,et al.  Emission inventory for the road transport sector in Sardinia (Italy) , 2007 .

[17]  M. M. Ardehali,et al.  General procedure for long-term energy-environmental planning for transportation sector of developing countries with limited data based on LEAP (long-range energy alternative planning) and EnergyPLAN , 2014 .

[18]  R. Crookes,et al.  ENERGY DEMAND AND EMISSIONS FROM ROAD TRANSPORTATION VEHICLES IN CHINA , 2010 .

[19]  Leonidas Ntziachristos,et al.  COPERT: A European road transport emission inventory model , 2009, ITEE.

[20]  Felix Creutzig,et al.  Low-Carbon Land Transport: Policy Handbook , 2013 .

[21]  Rawshan Ara Begum,et al.  Energy consumption and emission projection for the road transport sector in Malaysia: an application of the LEAP model , 2016, Environment, Development and Sustainability.

[22]  Shu Han,et al.  Vehicle Emission and Near-Road Air Quality Modeling for Shanghai, China , 2013 .

[23]  Charles Abraham,et al.  Can we reduce car use and, if so, how? A review of available evidence , 2011 .

[24]  Yu Zhou,et al.  Historic and future trends of vehicle emissions in Beijing, 1998–2020: A policy assessment for the most stringent vehicle emission control program in China , 2014 .