IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v115y2018icp486-493.html
   My bibliography  Save this article

Understanding the determinants of travel mode choice of residents and its carbon mitigation potential

Author

Listed:
  • Yang, Yuan
  • Wang, Can
  • Liu, Wenling
  • Zhou, Peng

Abstract

Effective low carbon transport policy-making needs to first understand what are the factors influencing residents’ modal choice and how it can be intervened. This study uses a discrete choice model to analyse the factors influencing residents’ mode choice in Beijing. A questionnaire survey was conducted in 2015, with sample data containing 865 respondents and 1704 trips collected. The results suggest that residents’ mode choice is closely related to their characteristics. Moreover, our study has linked residents’ mode choice with travel carbon emissions and estimated the emissions reduction potential of those policy measures aiming to improve public transport. For commuting and education trips, public transport improvements can reduce carbon emissions by 12.3~16.6% on average, but for other trip purposes, the reduction is only 2.9~6.8%. As commuting and education trips account for the largest proportion of urban residents’ daily travels, it suggests that policy should primarily focus on the improvement of public transport and its particular support for major commuting routes.

Suggested Citation

  • Yang, Yuan & Wang, Can & Liu, Wenling & Zhou, Peng, 2018. "Understanding the determinants of travel mode choice of residents and its carbon mitigation potential," Energy Policy, Elsevier, vol. 115(C), pages 486-493.
    • Handle: RePEc:eee:enepol:v:115:y:2018:i:c:p:486-493
    DOI: 10.1016/j.enpol.2018.01.033
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421518300429
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2018.01.033?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Vredin Johansson, Maria & Heldt, Tobias & Johansson, Per, 2006. "The effects of attitudes and personality traits on mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 507-525, July.
    3. Redman, Lauren & Friman, Margareta & Gärling, Tommy & Hartig, Terry, 2013. "Quality attributes of public transport that attract car users: A research review," Transport Policy, Elsevier, vol. 25(C), pages 119-127.
    4. Watkins, Kari Edison & Ferris, Brian & Borning, Alan & Rutherford, G. Scott & Layton, David, 2011. "Where Is My Bus? Impact of mobile real-time information on the perceived and actual wait time of transit riders," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(8), pages 839-848, October.
    5. Yang, Yuan & Wang, Can & Liu, Wenling & Zhou, Peng, 2017. "Microsimulation of low carbon urban transport policies in Beijing," Energy Policy, Elsevier, vol. 107(C), pages 561-572.
    6. Salon, Deborah, 2009. "Neighborhoods, cars, and commuting in New York City: A discrete choice approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(2), pages 180-196, February.
    7. O'Fallon, Carolyn & Sullivan, Charles & Hensher, David A, 2004. "Constraints affecting mode choices by morning car commuters," Transport Policy, Elsevier, vol. 11(1), pages 17-29, January.
    8. Li, Shengxiao & Zhao, Pengjun, 2015. "The determinants of commuting mode choice among school children in Beijing," Journal of Transport Geography, Elsevier, vol. 46(C), pages 112-121.
    9. Habibian, Meeghat & Kermanshah, Mohammad, 2013. "Coping with congestion: Understanding the role of simultaneous transportation demand management policies on commuters," Transport Policy, Elsevier, vol. 30(C), pages 229-237.
    10. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    11. Wang, Lanlan & Xu, Jintao & Qin, Ping, 2014. "Will a driving restriction policy reduce car trips?—The case study of Beijing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 279-290.
    12. Jean-Pierre Nicolas & Damien David, 2009. "Passenger transport and CO2 emissions: What does the French transport survey tell us?," Post-Print halshs-00372439, HAL.
    13. Can Wang & Yuan Yang & Junjie Zhang, 2015. "China's sectoral strategies in energy conservation and carbon mitigation," Climate Policy, Taylor & Francis Journals, vol. 15(sup1), pages 60-80, December.
    14. Wang, Lanlan & Xu, Jintao & Zheng, Xinye & Qin, Ping, "undated". "Will a Driving Restriction Policy Reduce Car Trips? A Case Study of Beijing, China," RFF Working Paper Series dp-13-11-efd, Resources for the Future.
    15. Gu, Yizhen & Deakin, Elizabeth & Long, Ying, 2017. "The effects of driving restrictions on travel behavior evidence from Beijing," Journal of Urban Economics, Elsevier, vol. 102(C), pages 106-122.
    16. Hoen, Anco & Koetse, Mark J., 2014. "A choice experiment on alternative fuel vehicle preferences of private car owners in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 199-215.
    17. Sungyop Kim & Gudmundur Ulfarsson, 2008. "Curbing automobile use for sustainable transportation: analysis of mode choice on short home-based trips," Transportation, Springer, vol. 35(6), pages 723-737, November.
    18. Hensher, David A. & Rose, John M., 2007. "Development of commuter and non-commuter mode choice models for the assessment of new public transport infrastructure projects: A case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(5), pages 428-443, June.
    19. 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.
    20. Yang, Jun & Liu, Ying & Qin, Ping & Liu, Antung A., 2014. "A review of Beijing׳s vehicle registration lottery: Short-term effects on vehicle growth and fuel consumption," Energy Policy, Elsevier, vol. 75(C), pages 157-166.
    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. Kevin Credit & Zander Arnao, 2023. "A method to derive small area estimates of linked commuting trips by mode from open source LODES and ACS data," Environment and Planning B, , vol. 50(3), pages 709-722, March.
    2. Jing Li & Yongbo Lv & Jihui Ma & Yuan Ren, 2019. "Factor Analysis of Customized Bus Attraction to Commuters with Different Travel Modes," Sustainability, MDPI, vol. 11(24), pages 1-13, December.
    3. Hao, Jingjing & Zhang, Ling & Ji, Xiaofeng & Tang, Jinjun, 2020. "Modeling and analyzing of family intention for the customized student routes: A case study in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    4. Zhesong Hao & Ying Peng, 2022. "Comparing Nonlinear and Threshold Effects of Bus Stop Proximity on Transit Use and Carbon Emissions in Developing Cities," Land, MDPI, vol. 12(1), pages 1-21, December.
    5. Ha, Jaehyun & Lee, Sugie & Ko, Joonho, 2020. "Unraveling the impact of travel time, cost, and transit burdens on commute mode choice for different income and age groups," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 147-166.
    6. Jindo Jeong & Jiwon Lee & Tae‐Hyoung Tommy Gim, 2022. "Travel mode choice as a representation of travel utility: A multilevel approach reflecting the hierarchical structure of trip, individual, and neighborhood characteristics," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 745-765, June.
    7. Li, Xi & Zhang, Runsen & Chen, Jundong & Jiang, Yida & Zhang, Qiong & Long, Yin, 2021. "Urban-scale carbon footprint evaluation based on citizen travel demand in Japan," Applied Energy, Elsevier, vol. 286(C).
    8. Bi, Hui & Ye, Zhirui & Hu, Liyang & Zhu, He, 2021. "Why they don't choose bus service? Understanding special online car-hailing behavior near bus stops," Transport Policy, Elsevier, vol. 114(C), pages 280-297.
    9. Zhou, Heng & Norman, Richard & Xia, Jianhong(Cecilia) & Hughes, Brett & Kelobonye, Keone & Nikolova, Gabi & Falkmer, Torbjorn, 2020. "Analysing travel mode and airline choice using latent class modelling: A case study in Western Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 187-205.
    10. Rui Zhao & Linchuan Yang & Xinrong Liang & Yuanyuan Guo & Yi Lu & Yixuan Zhang & Xinyun Ren, 2019. "Last-Mile Travel Mode Choice: Data-Mining Hybrid with Multiple Attribute Decision Making," Sustainability, MDPI, vol. 11(23), pages 1-15, November.
    11. Fanying Zheng & Fu Gu & Wujie Zhang & Jianfeng Guo, 2019. "Is Bicycle Sharing an Environmental Practice? Evidence from a Life Cycle Assessment Based on Behavioral Surveys," Sustainability, MDPI, vol. 11(6), pages 1-25, March.
    12. Enhui Chen & Zhirui Ye & Hui Bi, 2019. "Incorporating Smart Card Data in Spatio-Temporal Analysis of Metro Travel Distances," Sustainability, MDPI, vol. 11(24), pages 1-22, December.
    13. Zijia Wang & Juanjuan Ding & Lichang Wang & Ziqiang Zhu, 2022. "Ex-ante and ex-post approaches of evaluating carbon emission reduction in urban rail transit," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(7), pages 1-21, October.
    14. Lin, Boqiang & Wang, Xia, 2021. "Does low-carbon travel intention really lead to actual low-carbon travel? Evidence from urban residents in China," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 743-756.
    15. Zhou, Heng & Norman, Richard & Kelobonye, Keone & Xia, Jianhong (Cecilia) & Hughes, Brett & Nikolova, Gabi & Falkmer, Torbjorn, 2020. "Market segmentation approach to investigate existing and potential aviation markets," Transport Policy, Elsevier, vol. 99(C), pages 120-135.
    16. Pengfei Zhao & Lingxiang Wei & Dong Pan & Jincheng Yang & Yuchuan Ji, 2023. "Analysis of Key Factors Affecting Low-Carbon Travel Behaviors of Urban Residents in Developing Countries: A Case Study in Zhenjiang, China," Sustainability, MDPI, vol. 15(6), pages 1-16, March.

    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. Li, Shengxiao (Alex) & Guan, Xiaodong & Wang, Donggen, 2022. "How do constrained car ownership and car use influence travel and life satisfaction?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 202-218.
    2. Qian, Lixian & Grisolía, Jose M. & Soopramanien, Didier, 2019. "The impact of service and government-policy attributes on consumer preferences for electric vehicles in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 70-84.
    3. Soto, Jose J. & Macea, Luis F. & Cantillo, Victor, 2023. "Analysing a license plate-based vehicle restriction policy with optional exemption charge: The case in Cali, Colombia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    4. Magalhães, David José Ahouagi Vaz de & Rivera-Gonzalez, Carlos, 2021. "Car users’ attitudes towards an enhanced bus system to mitigate urban congestion in a developing country," Transport Policy, Elsevier, vol. 110(C), pages 452-464.
    5. 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.
    6. Habibian, Meeghat & Kermanshah, Mohammad, 2013. "Coping with congestion: Understanding the role of simultaneous transportation demand management policies on commuters," Transport Policy, Elsevier, vol. 30(C), pages 229-237.
    7. Zhang, Linling & Long, Ruyin & Chen, Hong, 2019. "Do car restriction policies effectively promote the development of public transport?," World Development, Elsevier, vol. 119(C), pages 100-110.
    8. Ko, Joonho & Lee, Sugie & Byun, Miree, 2019. "Exploring factors associated with commute mode choice: An application of city-level general social survey data," Transport Policy, Elsevier, vol. 75(C), pages 36-46.
    9. Linn, Joshua & Wang, Zhongmin & Xie, Lunyu, 2016. "Who will be affected by a congestion pricing scheme in Beijing?," Transport Policy, Elsevier, vol. 47(C), pages 34-40.
    10. 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).
    11. Diao, Qinghua & Sun, Wei & Yuan, Xinmei & Li, Lili & Zheng, Zhi, 2016. "Life-cycle private-cost-based competitiveness analysis of electric vehicles in China considering the intangible cost of traffic policies," Applied Energy, Elsevier, vol. 178(C), pages 567-578.
    12. Zhao, Chunli & Nielsen, Thomas Alexander Sick & Olafsson, Anton Stahl & Carstensen, Trine Agervig & Fertner, Christian, 2018. "Cycling environmental perception in Beijing – A study of residents' attitudes towards future cycling and car purchasing," Transport Policy, Elsevier, vol. 66(C), pages 96-106.
    13. Wang, Yacan & Geng, Kexin & May, Anthony D. & Zhou, Huiyu, 2022. "The impact of traffic demand management policy mix on commuter travel choices," Transport Policy, Elsevier, vol. 117(C), pages 74-87.
    14. De Witte, Astrid & Hollevoet, Joachim & Dobruszkes, Frédéric & Hubert, Michel & Macharis, Cathy, 2013. "Linking modal choice to motility: A comprehensive review," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 329-341.
    15. Moeinaddini, Amin & Habibian, Meeghat, 2023. "Transportation demand management policy efficiency: An attempt to address the effectiveness and acceptability of policy packages," Transport Policy, Elsevier, vol. 141(C), pages 317-330.
    16. Liu, Zhiyong & Li, Ruimin & Wang, Xiaokun (Cara) & Shang, Pan, 2020. "Noncompliance behavior against vehicle restriction policy: A case study of Langfang, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 1020-1033.
    17. Linn, Joshua & Wang, Zhongmin & Xie, Lunyu, 2018. "The long-run effects of housing location on travel behavior: Evidence from China's housing reform," China Economic Review, Elsevier, vol. 49(C), pages 114-140.
    18. Jin, Tanhua & Cheng, Long & Liu, Zhicheng & Cao, Jun & Huang, Haosheng & Witlox, Frank, 2022. "Nonlinear public transit accessibility effects on housing prices: Heterogeneity across price segments," Transport Policy, Elsevier, vol. 117(C), pages 48-59.
    19. Fowri, Hamid R. & Seyedabrishami, Seyedehsan, 2020. "Assessment of urban transportation pricing policies with incorporation of unobserved heterogeneity," Transport Policy, Elsevier, vol. 99(C), pages 12-19.
    20. Liu, Zhiyong & Li, Ruimin & Wang, Xiaokun(Cara) & Shang, Pan, 2018. "Effects of vehicle restriction policies: Analysis using license plate recognition data in Langfang, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 89-103.

    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:eee:enepol:v:115:y:2018:i:c:p:486-493. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    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.