IDEAS home Printed from https://ideas.repec.org/p/hku/wpaper/201635.html
   My bibliography  Save this paper

Travel Behavior, Energy Use, and Carbon Emissions: Evidence from Shenzhen, China

Author

Listed:
  • Shengyuan Zhang

    (Division of Social Science, Hong Kong University of Science and Technology)

  • Jimin Zhao

    (Division of Social Science, Hong Kong University of Science and Technology
    Institute for Emerging Market Studies, Hong Kong University of Science and Technology)

  • Albert Park

    (Division of Social Science, Hong Kong University of Science and Technology
    Department of Economics, Hong Kong University of Science and Technology
    Institute for Emerging Market Studies, Hong Kong University of Science and Technology)

Abstract

In many developing and emerging economies, rapid income growth and changing demographics is leading to heightened demand for energy-intensive urban transportation. This study provides a comprehensive empirical framework for analyzing how income, age, and education influence individual energy use and carbon emissions through multiple dimensions of travel behavior, including number of trips, trip distance, transportation mode choice, vehicle ownership, and fuel economy of cars. Analyzing travel diary survey data collected by the authors in Shenzhen in 2014, we find that energy consumption and carbon emissions increase almost proportionally to income, and that older age and more education increase energy use and carbon emissions substantially, with the relative importance of different channels varying by factor.

Suggested Citation

  • Shengyuan Zhang & Jimin Zhao & Albert Park, 2016. "Travel Behavior, Energy Use, and Carbon Emissions: Evidence from Shenzhen, China," HKUST IEMS Working Paper Series 2016-35, HKUST Institute for Emerging Market Studies, revised Jun 2016.
  • Handle: RePEc:hku:wpaper:201635
    as

    Download full text from publisher

    File URL: http://iems.ust.hk/assets/publications/working-papers-2016/iemswp2016-35.pdf
    File Function: First version, 2015
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hickman, Robin & Ashiru, Olu & Banister, David, 2010. "Transport and climate change: Simulating the options for carbon reduction in London," Transport Policy, Elsevier, vol. 17(2), pages 110-125, March.
    2. Lee, Yuhwa & Hickman, Mark & Washington, Simon, 2007. "Household type and structure, time-use pattern, and trip-chaining behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 1004-1020, December.
    3. Stopher, Peter R. & Greaves, Stephen P., 2007. "Household travel surveys: Where are we going?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(5), pages 367-381, June.
    4. Hickman, Robin & Banister, David, 2007. "Looking over the horizon: Transport and reduced CO2 emissions in the UK by 2030," Transport Policy, Elsevier, vol. 14(5), pages 377-387, September.
    Full references (including those not matched with items on IDEAS)

    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. Camilleri, Rosalie & Attard, Maria & Hickman, Robin, 2022. "Understanding barriers to modal shift in Malta: A practice-theoretical perspective of everyday mobility," Journal of Transport Geography, Elsevier, vol. 104(C).
    2. Banister, David & Hickman, Robin, 2013. "Transport futures: Thinking the unthinkable," Transport Policy, Elsevier, vol. 29(C), pages 283-293.
    3. Ülengin, Füsun & Işık, Mine & Ekici, Şule Önsel & Özaydın, Özay & Kabak, Özgür & Topçu, Y. İlker, 2018. "Policy developments for the reduction of climate change impacts by the transportation sector," Transport Policy, Elsevier, vol. 61(C), pages 36-50.
    4. Hickman, Robin & Hall, Peter & Banister, David, 2013. "Planning more for sustainable mobility," Journal of Transport Geography, Elsevier, vol. 33(C), pages 210-219.
    5. Andrés, Lidia & Padilla, Emilio, 2018. "Driving factors of GHG emissions in the EU transport activity," Transport Policy, Elsevier, vol. 61(C), pages 60-74.
    6. Hickman, Robin & Saxena, Sharad & Banister, David & Ashiru, Olu, 2012. "Examining transport futures with scenario analysis and MCA," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 560-575.
    7. Hickman, Robin & Ashiru, Olu & Banister, David, 2011. "Transitions to low carbon transport futures: strategic conversations from London and Delhi," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1553-1562.
    8. Siti Indati Mustapa & Hussain Ali Bekhet, 2015. "Investigating Factors Affecting CO2 Emissions in Malaysian Road Transport Sector," International Journal of Energy Economics and Policy, Econjournals, vol. 5(4), pages 1073-1083.
    9. Kopnina, Helen, 2011. "Kids and cars: Environmental attitudes in children," Transport Policy, Elsevier, vol. 18(4), pages 573-578, August.
    10. Cerovac, Tin & Ćosić, Boris & Pukšec, Tomislav & Duić, Neven, 2014. "Wind energy integration into future energy systems based on conventional plants – The case study of Croatia," Applied Energy, Elsevier, vol. 135(C), pages 643-655.
    11. Marletto, Gerardo, 2011. "Structure, agency and change in the car regime. A review of the literature," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 47, pages 71-88.
    12. Goulden, Murray & Ryley, Tim & Dingwall, Robert, 2014. "Beyond ‘predict and provide’: UK transport, the growth paradigm and climate change," Transport Policy, Elsevier, vol. 32(C), pages 139-147.
    13. Bhat, Chandra R. & Astroza, Sebastian & Sidharthan, Raghuprasad & Alam, Mohammad Jobair Bin & Khushefati, Waleed H., 2014. "A joint count-continuous model of travel behavior with selection based on a multinomial probit residential density choice model," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 31-51.
    14. Zuo, Chengchoa & Birkin, Mark & Clarke, Graham & McEvoy, Fiona & Bloodworth, Andrew, 2018. "Reducing carbon emissions related to the transportation of aggregates: Is road or rail the solution?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 26-38.
    15. González, Rosa Marina & Marrero, Gustavo A. & Rodríguez-López, Jesús & Marrero, Ángel S., 2019. "Analyzing CO2 emissions from passenger cars in Europe: A dynamic panel data approach," Energy Policy, Elsevier, vol. 129(C), pages 1271-1281.
    16. Pye, Steve & Daly, Hannah, 2015. "Modelling sustainable urban travel in a whole systems energy model," Applied Energy, Elsevier, vol. 159(C), pages 97-107.
    17. Jariyasunant, Jerald & Carrel, Andre & Ekambaram, Venkatesan & Gaker, DJ & Kote, Thejovardhana & Sengupta, Raja & Walker, Joan L., 2011. "The Quantified Traveler: Using personal travel data to promote sustainable transport behavior," University of California Transportation Center, Working Papers qt9jg0p1rj, University of California Transportation Center.
    18. Gingerich, Kevin & Maoh, Hanna & Anderson, William, 2016. "Expansion of a GPS Truck Trip Sample to Remove Bias and Obtain Representative Flows for Ontario," 57th Transportation Research Forum (51st CTRF) Joint Conference, Toronto, Ontario, May 1-4, 2016 319310, Transportation Research Forum.
    19. Aihua Fan & Xumei Chen, 2020. "Exploring the Relationship between Transport Interventions, Mode Choice, and Travel Perception: An Empirical Study in Beijing, China," IJERPH, MDPI, vol. 17(12), pages 1-19, June.
    20. Li, Linchao & Zhu, Jiasong & Zhang, Hailong & Tan, Huachun & Du, Bowen & Ran, Bin, 2020. "Coupled application of generative adversarial networks and conventional neural networks for travel mode detection using GPS data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 282-292.

    More about this item

    Keywords

    ASIF; carbon emissions; energy consumption; urban transportation; scenario analysis; transportation policy;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hku:wpaper:201635. 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: Carla Chan (email available below). General contact details of provider: https://edirc.repec.org/data/ieusthk.html .

    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.