IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i2p385-d197405.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/2/385/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/2/385/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    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. repec:cdl:itsrrp:qt0dk1s0q5 is not listed on IDEAS
    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.
    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. Hui Liu & Jiwei Liu & Qun Li, 2022. "Asymmetric Effects of Economic Development, Agroforestry Development, Energy Consumption, and Population Size on CO 2 Emissions in China," Sustainability, MDPI, vol. 14(12), pages 1-34, June.
    2. Tim-Benjamin Lembcke & Mathias Willnat & Henrik Lechte & Maike Greve & Julia Heinsohn & Alfred Benedikt Brendel, 2021. "Mobility Need-Adaptive Housing Platforms: The Benefit of a Commute Time Search Feature," Sustainability, MDPI, vol. 13(6), pages 1-14, March.
    3. Jose-Benito Perez-Lopez & Alfonso Orro & Margarita Novales, 2021. "Environmental Impact of Mobility in Higher-Education Institutions: The Case of the Ecological Footprint at the University of A Coruña (Spain)," Sustainability, MDPI, vol. 13(11), pages 1-18, May.
    4. Marco Hölzel & Kai-Hendrik Kolsch & Walter Timo de Vries, 2022. "Location of Coworking Spaces (CWSs) Regarding Vicinity, Land Use and Points of Interest (POIs)," Land, MDPI, vol. 11(3), pages 1-32, February.

    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. Pu Lyu & Yongjie Lin & Yuanqing Wang, 2019. "The impacts of household features on commuting carbon emissions: a case study of Xi’an, China," Transportation, Springer, vol. 46(3), pages 841-857, June.
    2. Leroutier, Marion & Quirion, Philippe, 2022. "Air pollution and CO2 from daily mobility: Who emits and Why? Evidence from Paris," Energy Economics, Elsevier, vol. 109(C).
    3. Xibao Xu & Yan Tan & Shuang Chen & Guishan Yang & Weizhong Su, 2015. "Urban Household Carbon Emission and Contributing Factors in the Yangtze River Delta, China," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-21, April.
    4. Wang, Zhaohua & Liu, Wei, 2015. "Determinants of CO2 emissions from household daily travel in Beijing, China: Individual travel characteristic perspectives," Applied Energy, Elsevier, vol. 158(C), pages 292-299.
    5. Hongwu Zhang & Lequan Zhang & Keying Wang & Xunpeng Shi, 2019. "Unveiling Key Drivers of Indirect Carbon Emissions of Chinese Older Households," Sustainability, MDPI, vol. 11(20), pages 1-17, October.
    6. Gössling, Stefan, 2019. "Celebrities, air travel, and social norms," Annals of Tourism Research, Elsevier, vol. 79(C).
    7. Liu Yang & Yuanqing Wang & Yujun Lian & Xin Dong & Jianhong Liu & Yuanyuan Liu & Zhouhao Wu, 2023. "Rational planning strategies of urban structure, metro, and car use for reducing transport carbon dioxide emissions in developing cities," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6987-7010, July.
    8. Bel, Germà & Rosell, Jordi, 2017. "The impact of socioeconomic characteristics on CO2 emissions associated with urban mobility: Inequality across individuals," Energy Economics, Elsevier, vol. 64(C), pages 251-261.
    9. Heidi Bruderer Enzler & Andreas Diekmann, 2015. "Environmental Impact and Pro-Environmental Behavior: Correlations to Income and Environmental Concern," ETH Zurich Sociology Working Papers 9, ETH Zurich, Chair of Sociology.
    10. Li, Jun & Zhang, Dayong & Su, Bin, 2019. "The Impact of Social Awareness and Lifestyles on Household Carbon Emissions in China," Ecological Economics, Elsevier, vol. 160(C), pages 145-155.
    11. 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.
    12. Zhang, Hongwu & Shi, Xunpeng & Wang, Keying & Xue, Jinjun & Song, Ligang & Sun, Yongping, 2020. "Intertemporal lifestyle changes and carbon emissions: Evidence from a China household survey," Energy Economics, Elsevier, vol. 86(C).
    13. Liu Yang & Yuanqing Wang & Yujun Lian & Zhongming Guo & Yuanyuan Liu & Zhouhao Wu & Tieyue Zhang, 2022. "Key Factors, Planning Strategy and Policy for Low-Carbon Transport Development in Developing Cities of China," IJERPH, MDPI, vol. 19(21), pages 1-14, October.
    14. Zhang, Chuanguo & Nian, Jiang, 2013. "Panel estimation for transport sector CO2 emissions and its affecting factors: A regional analysis in China," Energy Policy, Elsevier, vol. 63(C), pages 918-926.
    15. 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.
    16. Yulin Liu & Min Zhang & Rujia Liu, 2020. "The Impact of Income Inequality on Carbon Emissions in China: A Household-Level Analysis," Sustainability, MDPI, vol. 12(7), pages 1-22, March.
    17. Zhen, Wei & Qin, Quande & Zhong, Zhangqi & Li, Li & Wei, Yi-Ming, 2018. "Uncovering household indirect energy-saving responsibility from a sectoral perspective: An empirical analysis of Guangdong, China," Energy Economics, Elsevier, vol. 72(C), pages 451-461.
    18. Ottelin, Juudit & Heinonen, Jukka & Junnila, Seppo, 2014. "Greenhouse gas emissions from flying can offset the gain from reduced driving in dense urban areas," Journal of Transport Geography, Elsevier, vol. 41(C), pages 1-9.
    19. Yuyao Ye & Changjian Wang & Yuling Zhang & Kangmin Wu & Qitao Wu & Yongxian Su, 2017. "Low-Carbon Transportation Oriented Urban Spatial Structure: Theory, Model and Case Study," Sustainability, MDPI, vol. 10(1), pages 1-16, December.
    20. Wicker, Pamela, 2019. "The carbon footprint of active sport participants," Sport Management Review, Elsevier, vol. 22(4), pages 513-526.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jsusta:v:11:y:2019:i:2:p:385-:d:197405. 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.