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Revealing Urban Carbon Dioxide (CO 2 ) Emission Characteristics and Influencing Mechanisms from the Perspective of Commuting

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  • Huihui Wang

    (State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China)

  • Weihua Zeng

    (State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China)

Abstract

Commuting to and from work is one of the most important and regular routines using urban transport, being a major source for an increase in transport-related carbon dioxide (CO 2 ) emissions. In this study, we explore the characteristics of CO 2 emissions from commuter travel in Beijing from different perspectives. A bottom-up approach from a macro perspective is used to analyze recent changing trends of carbon emissions due to commuter travel modes in Beijing, and to identify the main sources of carbon emission increases that affect transportation. To identify CO 2 emission characteristics and influencing mechanisms in Beijing, the proportion of commuting modes, commuting distance, and commuting-related CO 2 emissions by Ring Roads was analyzed. The commuting-related CO 2 emission model, based on Tobit models from the microscopic perspective, was constructed to explore the main factors affecting CO 2 emissions of individuals/households. Results show that CO 2 emissions due to commuting in Beijing in recent years has presented an increasing trend. In 2014, the amount of CO 2 emissions from commuters had already reached the level of 553.68 × 10 4 t, with CO 2 emissions generated by car trips accounting for 75–80% of emissions. Average individual/household commuting-related CO 2 emissions on the Ring Road inside the main urban areas of Beijing shows a gradual increasing trend, with the growth trends between the 3rd–5th Ring Road being the largest. Household locations separated by Ring Roads and the occupation type of residents are important factors affecting CO 2 emissions. Commuters with access to a car, those having a higher income, and those located in the outer regions of the main urban areas produce more CO 2 emissions. To reduce the increasing trend of CO 2 emissions in Beijing, it is important that the government accelerates the development of public transport, industry, and residential facilities along the outskirts of the city, along the Ring Road, and along the radix road.

Suggested Citation

  • Huihui Wang & Weihua Zeng, 2019. "Revealing Urban Carbon Dioxide (CO 2 ) Emission Characteristics and Influencing Mechanisms from the Perspective of Commuting," Sustainability, MDPI, vol. 11(2), pages 1-22, January.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:2:p:385-:d:197405
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    as
    1. Fabio Grazi & Jeroen C.J.M. van den Bergh & Jos N. van Ommeren, 2008. "An Empirical Analysis of Urban Form, Transport, and Global Warming," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 97-122.
    2. Hankey, Steve & Marshall, Julian D., 2010. "Impacts of urban form on future US passenger-vehicle greenhouse gas emissions," Energy Policy, Elsevier, vol. 38(9), pages 4880-4887, September.
    3. Olga Petrik & Filipe Moura & João de Abreu e Silva, 2016. "Measuring uncertainty in discrete choice travel demand forecasting models," Transportation Planning and Technology, Taylor & Francis Journals, vol. 39(2), pages 218-237, March.
    4. Brand, Christian & Preston, John M., 2010. "'60-20 emission'--The unequal distribution of greenhouse gas emissions from personal, non-business travel in the UK," Transport Policy, Elsevier, vol. 17(1), pages 9-19, January.
    5. Loo, Becky P.Y. & Li, Linna, 2012. "Carbon dioxide emissions from passenger transport in China since 1949: Implications for developing sustainable transport," Energy Policy, Elsevier, vol. 50(C), pages 464-476.
    6. Zuopeng Xiao & James H. Lenzer & Yanwei Chai, 2017. "Examining The Uneven Distribution Of Household Travel Carbon Emissions Within And Across Neighborhoods: The Case Of Beijing," Journal of Regional Science, Wiley Blackwell, vol. 57(3), pages 487-506, June.
    7. Pongthanaisawan, Jakapong & Sorapipatana, Chumnong, 2013. "Greenhouse gas emissions from Thailand’s transport sector: Trends and mitigation options," Applied Energy, Elsevier, vol. 101(C), pages 288-298.
    8. Yuanqing Wang & Liu Yang & Sunsheng Han & Chao Li & T. V. Ramachandra, 2017. "Urban CO2 emissions in Xi’an and Bangalore by commuters: implications for controlling urban transportation carbon dioxide emissions in developing countries," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(7), pages 993-1019, October.
    9. Brand, Christian & Goodman, Anna & Rutter, Harry & Song, Yena & Ogilvie, David, 2013. "Associations of individual, household and environmental characteristics with carbon dioxide emissions from motorised passenger travel," Applied Energy, Elsevier, vol. 104(C), pages 158-169.
    10. Haixiao Pan & Qing Shen & Ming Zhang, 2009. "Influence of Urban Form on Travel Behaviour in Four Neighbourhoods of Shanghai," Urban Studies, Urban Studies Journal Limited, vol. 46(2), pages 275-294, February.
    11. Grazi, Fabio & van den Bergh, Jeroen C.J.M., 2008. "Spatial organization, transport, and climate change: Comparing instruments of spatial planning and policy," Ecological Economics, Elsevier, vol. 67(4), pages 630-639, November.
    12. Brand, Christian & Boardman, Brenda, 2008. "Taming of the few--The unequal distribution of greenhouse gas emissions from personal travel in the UK," Energy Policy, Elsevier, vol. 36(1), pages 224-238, January.
    13. Stead, D., 1999. "Relationships between transport emissions and travel patterns in Britain," Transport Policy, Elsevier, vol. 6(4), pages 247-258, October.
    14. Wei, Yi-Ming & Liu, Lan-Cui & Fan, Ying & Wu, Gang, 2007. "The impact of lifestyle on energy use and CO2 emission: An empirical analysis of China's residents," Energy Policy, Elsevier, vol. 35(1), pages 247-257, January.
    15. Giovanni Baiocchi & Jan Minx & Klaus Hubacek, 2010. "The Impact of Social Factors and Consumer Behavior on Carbon Dioxide Emissions in the United Kingdom," Journal of Industrial Ecology, Yale University, vol. 14(1), pages 50-72, January.
    16. Brand, Christian & Tran, Martino & Anable, Jillian, 2012. "The UK transport carbon model: An integrated life cycle approach to explore low carbon futures," Energy Policy, Elsevier, vol. 41(C), pages 107-124.
    17. Cervero, Robert & Day, Jennifer, 2008. "Residential Relocation and Commuting Behavior in Shanghai, China: The Case for Transit Oriented Development," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0dk1s0q5, Institute of Transportation Studies, UC Berkeley.
    18. Büchs, Milena & Schnepf, Sylke V., 2013. "Who emits most? Associations between socio-economic factors and UK households' home energy, transport, indirect and total CO2 emissions," Ecological Economics, Elsevier, vol. 90(C), pages 114-123.
    19. Wang, Donggen & Chai, Yanwei, 2009. "The jobs–housing relationship and commuting in Beijing, China: the legacy of Danwei," Journal of Transport Geography, Elsevier, vol. 17(1), pages 30-38.
    20. Feng, Kuishuang & Hubacek, Klaus & Guan, Dabo, 2009. "Lifestyles, technology and CO2 emissions in China: A regional comparative analysis," Ecological Economics, Elsevier, vol. 69(1), pages 145-154, November.
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