IDEAS home Printed from https://ideas.repec.org/a/sae/urbstu/v50y2013i14p2993-3010.html
   My bibliography  Save this article

Travel Time and Distance in International Perspective: A Comparison between Nanjing (China) and the Randstad (The Netherlands)

Author

Listed:
  • Jianxi Feng
  • Martin Dijst
  • Jan Prillwitz
  • Bart Wissink

Abstract

While Western countries are trying to reduce car dependency on the back of low carbon objectives, the ownership and use of private cars in urban China is increasing dramatically. In this paper, light is shed on both developments through a comparative study of the travel behaviour in two regions with a very different built environment: Nanjing, China, and the Randstad in the Netherlands. Controlled for car ownership, daily travel time and distance are analysed in both regions. The results indicate that, in the case of Nanjing, the suggestion is that the configurations of current land use which support walking and cycling should be preserved as much as possible and that, in the meanwhile, investments should be made in fast public transport to facilitate economic developments. As regards the Randstad, it would seem wise to promote the use of walking and cycling by continuing to encourage compact land use patterns in combination with relatively fast public transport developments.

Suggested Citation

  • Jianxi Feng & Martin Dijst & Jan Prillwitz & Bart Wissink, 2013. "Travel Time and Distance in International Perspective: A Comparison between Nanjing (China) and the Randstad (The Netherlands)," Urban Studies, Urban Studies Journal Limited, vol. 50(14), pages 2993-3010, November.
  • Handle: RePEc:sae:urbstu:v:50:y:2013:i:14:p:2993-3010
    DOI: 10.1177/0042098013482504
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0042098013482504
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0042098013482504?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
    ---><---

    References listed on IDEAS

    as
    1. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    2. Bhat, Chandra R. & Guo, Jessica Y., 2007. "A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels," Transportation Research Part B: Methodological, Elsevier, vol. 41(5), pages 506-526, June.
    3. David M. Levinson & Ajay Kumar, 1997. "Density and the Journey to Work," Growth and Change, Wiley Blackwell, vol. 28(2), pages 147-172, March.
    4. Tim Schwanen & Martin Dijst & Frans M Dieleman, 2002. "A Microlevel Analysis of Residential Context and Travel Time," Environment and Planning A, , vol. 34(8), pages 1487-1507, August.
    5. Cervero, Robert, 1996. "Mixed land-uses and commuting: Evidence from the American Housing Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(5), pages 361-377, September.
    6. Schafer, Andreas & Victor, David G., 2000. "The future mobility of the world population," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(3), pages 171-205, April.
    7. Potoglou, Dimitris & Kanaroglou, Pavlos S., 2008. "Modelling car ownership in urban areas: a case study of Hamilton, Canada," Journal of Transport Geography, Elsevier, vol. 16(1), pages 42-54.
    8. Stead, D., 1999. "Relationships between transport emissions and travel patterns in Britain," Transport Policy, Elsevier, vol. 6(4), pages 247-258, October.
    9. Hsing, You-tien, 2010. "The Great Urban Transformation: Politics of Land and Property in China," OUP Catalogue, Oxford University Press, number 9780199568048.
    10. Ng, Wei-Shiuen & Schipper, Lee & Chen, Yang, 2010. "China Motorization Trends: New Directions for Crowded Cities," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(3), pages 5-25.
    11. 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.
    12. Ingram, Gregory K. & Zhi Liu, 1999. "Determinants of motorization and road provision," Policy Research Working Paper Series 2042, The World Bank.
    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. Li, Si-ming & Liu, Yi, 2016. "The jobs-housing relationship and commuting in Guangzhou, China: Hukou and dual structure," Journal of Transport Geography, Elsevier, vol. 54(C), pages 286-294.
    2. Feng, Jianxi & Dijst, Martin & Wissink, Bart & Prillwitz, Jan, 2017. "Changing travel behaviour in urban China: Evidence from Nanjing 2008–2011," Transport Policy, Elsevier, vol. 53(C), pages 1-10.
    3. Zhao, Chunli & Nielsen, Thomas Alexander Sick & Olafsson, Anton Stahl & Carstensen, Trine Agervig & Meng, Xiaoying, 2018. "Urban form, demographic and socio-economic correlates of walking, cycling, and e-biking: Evidence from eight neighborhoods in Beijing," Transport Policy, Elsevier, vol. 64(C), pages 102-112.

    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. Ao, Yibin & Yang, Dujuan & Chen, Chuan & Wang, Yan, 2019. "Exploring the effects of the rural built environment on household car ownership after controlling for preference and attitude: Evidence from Sichuan, China," Journal of Transport Geography, Elsevier, vol. 74(C), pages 24-36.
    2. Veronique Acker & Frank Witlox, 2011. "Commuting trips within tours: how is commuting related to land use?," Transportation, Springer, vol. 38(3), pages 465-486, May.
    3. Zhu, Pengyu & Zhao, Songnian & Jiang, Yanpeng, 2022. "Residential segregation, built environment and commuting outcomes: Experience from contemporary China," Transport Policy, Elsevier, vol. 116(C), pages 269-277.
    4. Ding, Chuan & Wang, Donggen & Liu, Chao & Zhang, Yi & Yang, Jiawen, 2017. "Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 65-80.
    5. Guerra, Erick, 2015. "The geography of car ownership in Mexico City: a joint model of households’ residential location and car ownership decisions," Journal of Transport Geography, Elsevier, vol. 43(C), pages 171-180.
    6. Yibin Ao & Chuan Chen & Dujuan Yang & Yan Wang, 2018. "Relationship between Rural Built Environment and Household Vehicle Ownership: An Empirical Analysis in Rural Sichuan, China," Sustainability, MDPI, vol. 10(5), pages 1-18, May.
    7. Zhao, Pengjun & Zhang, Yixue, 2018. "Travel behaviour and life course: Examining changes in car use after residential relocation in Beijing," Journal of Transport Geography, Elsevier, vol. 73(C), pages 41-53.
    8. Li, Jingjing & Kim, Changjoo & Sang, Sunhee, 2018. "Exploring impacts of land use characteristics in residential neighborhood and activity space on non-work travel behaviors," Journal of Transport Geography, Elsevier, vol. 70(C), pages 141-147.
    9. Ding, Yu & Lu, Huapu, 2016. "Activity participation as a mediating variable to analyze the effect of land use on travel behavior: A structural equation modeling approach," Journal of Transport Geography, Elsevier, vol. 52(C), pages 23-28.
    10. Chetan Doddamani & M. Manoj, 2023. "Analysis of the influences of built environment measures on household car and motorcycle ownership decisions in Hubli-Dharwad cities," Transportation, Springer, vol. 50(1), pages 205-243, February.
    11. Jason Cao & Xiaoshu Cao, 2014. "The Impacts of LRT, Neighbourhood Characteristics, and Self-selection on Auto Ownership: Evidence from Minneapolis-St. Paul," Urban Studies, Urban Studies Journal Limited, vol. 51(10), pages 2068-2087, August.
    12. Liya Yang & Lingqian Hu & Zhenbo Wang, 2019. "The built environment and trip chaining behaviour revisited: The joint effects of the modifiable areal unit problem and tour purpose," Urban Studies, Urban Studies Journal Limited, vol. 56(4), pages 795-817, March.
    13. Tim Schwanen & Martin Dijst & Frans M. Dieleman, 2004. "Policies for Urban Form and their Impact on Travel: The Netherlands Experience," Urban Studies, Urban Studies Journal Limited, vol. 41(3), pages 579-603, March.
    14. Zheng, Zhong & Zhou, Suhong & Deng, Xingdong, 2021. "Exploring both home-based and work-based jobs-housing balance by distance decay effect," Journal of Transport Geography, Elsevier, vol. 93(C).
    15. Laviolette, Jérôme & Morency, Catherine & Waygood, E.O.D., 2022. "A kilometer or a mile? Does buffer size matter when it comes to car ownership?," Journal of Transport Geography, Elsevier, vol. 104(C).
    16. Shen, Qing & Chen, Peng & Pan, Haixiao, 2016. "Factors affecting car ownership and mode choice in rail transit-supported suburbs of a large Chinese city," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 31-44.
    17. Lara Engelfriet & Eric Koomen, 2018. "The impact of urban form on commuting in large Chinese cities," Transportation, Springer, vol. 45(5), pages 1269-1295, September.
    18. Yi Zhang & Wei Wu & Yuan Li & Qixing Liu & Chaoyang Li, 2014. "Does the Built Environment Make a Difference? An Investigation of Household Vehicle Use in Zhongshan Metropolitan Area, China," Sustainability, MDPI, vol. 6(8), pages 1-21, August.
    19. Tran, Minh Tu & Zhang, Junyi & Chikaraishi, Makoto & Fujiwara, Akimasa, 2016. "A joint analysis of residential location, work location and commuting mode choices in Hanoi, Vietnam," Journal of Transport Geography, Elsevier, vol. 54(C), pages 181-193.
    20. Van Acker, Veronique & Mokhtarian, Patricia L. & Witlox, Frank, 2014. "Car availability explained by the structural relationships between lifestyles, residential location, and underlying residential and travel attitudes," Transport Policy, Elsevier, vol. 35(C), pages 88-99.

    More about this item

    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:sae:urbstu:v:50:y:2013:i:14:p:2993-3010. 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: SAGE Publications (email available below). General contact details of provider: http://www.gla.ac.uk/departments/urbanstudiesjournal .

    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.