IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v4y2011i4p685-699d12143.html
   My bibliography  Save this article

Impacts of Urban Transportation Mode Split on CO 2 Emissions in Jinan, China

Author

Listed:
  • Dongquan He

    (The Energy Foundation, Room 1903, CITIC Building, Jianguomenwai Avenue, Beijing 100004, China)

  • Fei Meng

    (Tsinghua University, Department of Environmental Science and Engineering, Beijing 100084, China)

  • Michael Q. Wang

    (Argonne National Laboratory, Center for Transportation Research, Building 362, 9700 South Cass Avenue, Argonne, IL 60439, USA)

  • Kebin He

    (Tsinghua University, Department of Environmental Science and Engineering, Beijing 100084, China)

Abstract

As the world’s largest developing country, China currently is undergoing rapid urbanization and motorization, which will result in far-reaching impacts on energy and the environment. According to estimates, energy use and carbon emissions in the transportation sector will comprise roughly 30% of total emissions by 2030. Since the late 1990s, transportation-related issues such as energy, consumption, and carbon emissions have become a policy focus in China. To date, most research and policies have centered on vehicle technologies that promote vehicle efficiency and reduced emissions. Limited research exists on the control of greenhouse gases through mode shifts in urban transportation—in particular, through the promotion of public transit. The purpose of this study is to establish a methodology to analyze carbon emissions from the urban transportation sector at the Chinese city level. By using Jinan, the capital of China’s Shandong Province, as an example, we have developed an analytical model to simulate energy consumption and carbon emissions based on the number of trips, the transportation mode split, and the trip distance. This model has enabled us to assess the impacts of the transportation mode split on energy consumption and carbon emissions. Furthermore, this paper reviews a set of methods for data collection, estimation, and processing for situations where statistical data are scarce in China. This paper also describes the simulation of three transportation system development scenarios. The results of this study illustrate that if no policy intervention is implemented for the transportation mode split (the business-as-usual (BAU) case), then emissions from Chinese urban transportation systems will quadruple by 2030. However, a dense, mixed land-use pattern, as well as transportation policies that encourage public transportation, would result in the elimination of 1.93 million tons of carbon emissions—approximately 50% of the BAU scenario emissions.

Suggested Citation

  • Dongquan He & Fei Meng & Michael Q. Wang & Kebin He, 2011. "Impacts of Urban Transportation Mode Split on CO 2 Emissions in Jinan, China," Energies, MDPI, vol. 4(4), pages 1-15, April.
    • Handle: RePEc:gam:jeners:v:4:y:2011:i:4:p:685-699:d:12143
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/4/4/685/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/4/4/685/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. He, Kebin & Huo, Hong & Zhang, Qiang & He, Dongquan & An, Feng & Wang, Michael & Walsh, Michael P., 2005. "Oil consumption and CO2 emissions in China's road transport: current status, future trends, and policy implications," Energy Policy, Elsevier, vol. 33(12), pages 1499-1507, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tian Wu & Hongmei Zhao & Xunmin Ou, 2014. "Vehicle Ownership Analysis Based on GDP per Capita in China: 1963–2050," Sustainability, MDPI, vol. 6(8), pages 1-23, August.
    2. Daniel Neves Schmitz Gonçalves & Renata Albergaria de Mello Bandeira & Mariane Gonzalez da Costa & George Vasconcelos Goes & Tássia Faria de Assis & Márcio de Almeida D’Agosto & Isabela Rocha Pombo Le, 2020. "A Multitier Approach to Estimating the Energy Efficiency of Urban Passenger Mobility," Sustainability, MDPI, vol. 12(24), pages 1-18, December.
    3. Chuyu Xia & Yan Li & Yanmei Ye & Zhou Shi & Jingming Liu, 2017. "Decomposed Driving Factors of Carbon Emissions and Scenario Analyses of Low-Carbon Transformation in 2020 and 2030 for Zhejiang Province," Energies, MDPI, vol. 10(11), pages 1-16, October.
    4. Arne Höltl & Cathy Macharis & Klaas De Brucker, 2017. "Pathways to Decarbonise the European Car Fleet: A Scenario Analysis Using the Backcasting Approach," Energies, MDPI, vol. 11(1), pages 1-20, December.
    5. Marcelo Maciel & Luiz Rosa & Fernando Correa & Ursula Maruyama, 2012. "Energy, Pollutant Emissions and Other Negative Externality Savings from Curbing Individual Motorized Transportation (IMT): A Low Cost, Low Technology Scenario Analysis in Brazilian Urban Areas," Energies, MDPI, vol. 5(3), pages 1-27, March.
    6. Yang, Zhenshan & Jia, Peng & Liu, Weidong & Yin, Hongchun, 2017. "Car ownership and urban development in Chinese cities: A panel data analysis," Journal of Transport Geography, Elsevier, vol. 58(C), pages 127-134.
    7. Maria La Gennusa & Patrizia Ferrante & Barbara Lo Casto & Gianfranco Rizzo, 2015. "An Integrated Environmental Indicator for Urban Transportation Systems: Description and Application," Energies, MDPI, vol. 8(10), pages 1-19, October.
    8. Yang Li & Lu Miao & Ying Chen & Yike Hu, 2019. "Exploration of Sustainable Urban Transportation Development in China through the Forecast of Private Vehicle Ownership," Sustainability, MDPI, vol. 11(16), pages 1-18, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sierra, Jaime Cevallos, 2016. "Estimating road transport fuel consumption in Ecuador," Energy Policy, Elsevier, vol. 92(C), pages 359-368.
    2. Jianlei Lang & Shuiyuan Cheng & Ying Zhou & Beibei Zhao & Haiyan Wang & Shujing Zhang, 2013. "Energy and Environmental Implications of Hybrid and Electric Vehicles in China," Energies, MDPI, vol. 6(5), pages 1-23, May.
    3. Huo, Hong & Zhang, Qiang & He, Kebin & Yao, Zhiliang & Wang, Michael, 2012. "Vehicle-use intensity in China: Current status and future trend," Energy Policy, Elsevier, vol. 43(C), pages 6-16.
    4. Ziru Feng & Tian Cai & Kangli Xiang & Chenxi Xiang & Lei Hou, 2019. "Evaluating the Impact of Fossil Fuel Vehicle Exit on the Oil Demand in China," Energies, MDPI, vol. 12(14), pages 1-18, July.
    5. Xiaowei Song & Yongpei Hao, 2019. "Vehicular Emission Inventory and Reduction Scenario Analysis in the Yangtze River Delta, China," IJERPH, MDPI, vol. 16(23), pages 1-21, November.
    6. Yu, Wei & Pagani, Roberto & Huang, Lei, 2012. "CO2 emission inventories for Chinese cities in highly urbanized areas compared with European cities," Energy Policy, Elsevier, vol. 47(C), pages 298-308.
    7. Walls, W.D., 2010. "Petroleum refining industry in China," Energy Policy, Elsevier, vol. 38(5), pages 2110-2115, May.
    8. Wang, Kai-Hua & Su, Chi-Wei & Lobonţ, Oana-Ramona & Umar, Muhammad, 2021. "Whether crude oil dependence and CO2 emissions influence military expenditure in net oil importing countries?," Energy Policy, Elsevier, vol. 153(C).
    9. Shaheen, Susan & Martin, Elliot, 2006. "Assessing Early Market Potential for Carsharing in China: A Case Study of Beijing," Institute of Transportation Studies, Working Paper Series qt9hf9784f, Institute of Transportation Studies, UC Davis.
    10. Xu, Yang-Jie & Li, Guo-Xiu & Sun, Zuo-Yu, 2016. "Development of biodiesel industry in China: Upon the terms of production and consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 318-330.
    11. Zhang, Yong & Yu, Yifeng & Zou, Bai, 2011. "Analyzing public awareness and acceptance of alternative fuel vehicles in China: The case of EV," Energy Policy, Elsevier, vol. 39(11), pages 7015-7024.
    12. Peng, Tianduo & Ou, Xunmin & Yuan, Zhiyi & Yan, Xiaoyu & Zhang, Xiliang, 2018. "Development and application of China provincial road transport energy demand and GHG emissions analysis model," Applied Energy, Elsevier, vol. 222(C), pages 313-328.
    13. Andrea Ramírez & Martin K. Patel & Kornelis Blok, 2011. "Using Physical Indicators to Monitor Energy Efficiency in Energy-Extensive Sectors," Chapters, in: Raymond J.G.M. Florax & Henri L.F. de Groot & Peter Mulder (ed.), Improving Energy Efficiency through Technology, chapter 4, Edward Elgar Publishing.
    14. Sadri, A. & Ardehali, M.M. & Amirnekooei, K., 2014. "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," Energy, Elsevier, vol. 77(C), pages 831-843.
    15. Song, Malin & Zheng, Wanping & Wang, Zeya, 2016. "Environmental efficiency and energy consumption of highway transportation systems in China," International Journal of Production Economics, Elsevier, vol. 181(PB), pages 441-449.
    16. Wang, H. & Zhou, P. & Zhou, D.Q., 2012. "An empirical study of direct rebound effect for passenger transport in urban China," Energy Economics, Elsevier, vol. 34(2), pages 452-460.
    17. Rui Wang, 2011. "Environmental and resource sustainability of Chinese cities: A review of issues, policies, practices and effects," Natural Resources Forum, Blackwell Publishing, vol. 35(2), pages 112-121, May.
    18. Hao, Han & Wang, Hewu & Ouyang, Minggao, 2011. "Comparison of policies on vehicle ownership and use between Beijing and Shanghai and their impacts on fuel consumption by passenger vehicles," Energy Policy, Elsevier, vol. 39(2), pages 1016-1021, February.
    19. Cai, Bofeng & Yang, Weishan & Cao, Dong & Liu, Lancui & Zhou, Ying & Zhang, Zhansheng, 2012. "Estimates of China's national and regional transport sector CO2 emissions in 2007," Energy Policy, Elsevier, vol. 41(C), pages 474-483.
    20. Li, Yi & Wang, Zhaohua & Wang, Ke & Zhang, Bin, 2021. "Fuel economy of Chinese light-duty car manufacturers: An efficiency analysis perspective," Energy, Elsevier, vol. 220(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:4:y:2011:i:4:p:685-699:d:12143. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.