IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i12p2166-d120381.html

The Coupling Strategy Research of Urban Public Space and Traffic for Improving the Residents’ Low-Carbon Travel Accessibility: A Case Study of Hexi New City Central Area in Nanjing

Author

Listed:
  • Caiyun Qian

    (School of Architecture, Nanjing Tech University, Nanjing 211800, China)

  • Yang Zhou

    (School of Architecture, Nanjing Tech University, Nanjing 211800, China)

  • Jiadeng Chen

    (School of Architecture, Nanjing Tech University, Nanjing 211800, China)

Abstract

Under the current model of advocating urban intensive development and updating built-up areas, promoting the coupling optimization of space and public transport in built-up areas is an important way to realize sustainable urban development. Apart from researching the space and accessibility of the central area in Hexi new city of Nanjing and analyzing problems from various aspects, i.e., urban land use, road network planning, bus station distribution, non-motorized traffic, and space and environment design, combining with the OD (Origin & Destination) survey, this paper further put forward the corresponding improvement strategy for the public space accessibility of different levels and optimized design of non-motorized traffic.

Suggested Citation

  • Caiyun Qian & Yang Zhou & Jiadeng Chen, 2017. "The Coupling Strategy Research of Urban Public Space and Traffic for Improving the Residents’ Low-Carbon Travel Accessibility: A Case Study of Hexi New City Central Area in Nanjing," Sustainability, MDPI, vol. 9(12), pages 1-23, November.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:12:p:2166-:d:120381
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/12/2166/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/9/12/2166/
    Download Restriction: no
    ---><---

    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. Maoh, Hanna & Tang, Zhongyuan, 2012. "Determinants of normal and extreme commute distance in a sprawled midsize Canadian city: evidence from Windsor, Canada," Journal of Transport Geography, Elsevier, vol. 25(C), pages 50-57.
    3. repec:wbk:wbpubs:12233 is not listed on IDEAS
    4. Mercado, Ruben & Páez, Antonio, 2009. "Determinants of distance traveled with a focus on the elderly: a multilevel analysis in the Hamilton CMA, Canada," Journal of Transport Geography, Elsevier, vol. 17(1), pages 65-76.
    5. Pooler, James A., 1995. "The use of spatial separation in the measurement of transportation accessibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 29(6), pages 421-427, 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. Jiao Ye & Jun Chen & Hua Bai & Yifan Yue, 2018. "Analyzing Transfer Commuting Attitudes Using a Market Segmentation Approach," Sustainability, MDPI, vol. 10(7), pages 1-16, June.

    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. Su, Rongxiang & Xiao, Jingyi & McBride, Elizabeth C. & Goulias, Konstadinos G., 2021. "Understanding senior's daily mobility patterns in California using human mobility motifs," Journal of Transport Geography, Elsevier, vol. 94(C).
    2. Susilo, Yusak O. & Waygood, E. Owen D., 2012. "A long term analysis of the mechanisms underlying children’s activity-travel engagements in the Osaka metropolitan area," Journal of Transport Geography, Elsevier, vol. 20(1), pages 41-50.
    3. Elldér, Erik, 2014. "Residential location and daily travel distances: the influence of trip purpose," Journal of Transport Geography, Elsevier, vol. 34(C), pages 121-130.
    4. Hou, Yuting & Yap, Winston & Chua, Rochelle & Song, Siqi & Yuen, Belinda, 2020. "The associations between older adults’ daily travel pattern and objective and perceived built environment: A study of three neighbourhoods in Singapore," Transport Policy, Elsevier, vol. 99(C), pages 314-328.
    5. Islam, Md Rabiul & Saphores, Jean-Daniel M., 2022. "An L.A. story: The impact of housing costs on commuting," Journal of Transport Geography, Elsevier, vol. 98(C).
    6. Olivieri, Cecilia & Fageda, Xavier, 2021. "Urban mobility with a focus on gender: The case of a middle-income Latin American city," Journal of Transport Geography, Elsevier, vol. 91(C).
    7. Yang Zhou & Hui Ji & Songtian Zhang & Caiyun Qian & Zixiong Wei, 2019. "Empirical Study on the Boundary Space Form of Residential Blocks Oriented Toward Low-Carbon Travel," Sustainability, MDPI, vol. 11(10), pages 1-31, May.
    8. Lucas, Karen & Bates, John & Moore, José & Carrasco, Juan Antonio, 2016. "Modelling the relationship between travel behaviours and social disadvantage," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 157-173.
    9. Delclòs-Alió, Xavier & Miralles-Guasch, Carme, 2017. "Suburban travelers pressed for time: Exploring the temporal implications of metropolitan commuting in Barcelona," Journal of Transport Geography, Elsevier, vol. 65(C), pages 165-174.
    10. Haseeb, Attiya & Mitra, Raktim, 2023. "Do environmentally sustainable travel behaviours contribute to transportation-related social exclusion?," Journal of Transport Geography, Elsevier, vol. 113(C).
    11. Senes, Giulio & Rovelli, Roberto & Bertoni, Danilo & Arata, Laura & Fumagalli, Natalia & Toccolini, Alessandro, 2017. "Factors influencing greenways use: Definition of a method for estimation in the Italian context," Journal of Transport Geography, Elsevier, vol. 65(C), pages 175-187.
    12. Eldeeb, Gamal & Mohamed, Moataz & Páez, Antonio, 2021. "Built for active travel? Investigating the contextual effects of the built environment on transportation mode choice," Journal of Transport Geography, Elsevier, vol. 96(C).
    13. 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.
    14. Cheng, Long & Chen, Xuewu & Yang, Shuo & Cao, Zhan & De Vos, Jonas & Witlox, Frank, 2019. "Active travel for active ageing in China: The role of built environment," Journal of Transport Geography, Elsevier, vol. 76(C), pages 142-152.
    15. Motte, Benjamin & Aguilera, Anne & Bonin, Olivier & Nassi, Carlos D., 2016. "Commuting patterns in the metropolitan region of Rio de Janeiro. What differences between formal and informal jobs?," Journal of Transport Geography, Elsevier, vol. 51(C), pages 59-69.
    16. Martín, Belén & Páez, Antonio, 2019. "Individual and geographic variations in the propensity to travel by active modes in Vitoria-Gasteiz, Spain," Journal of Transport Geography, Elsevier, vol. 76(C), pages 103-113.
    17. Dong Wei & Xiaoshu Cao & Miaomiao Wang, 2019. "What Determines the Psychological Well-Being during Commute in Xi’an: The Role of Built Environment, Travel Attitude, and Travel Characteristics," Sustainability, MDPI, vol. 11(5), pages 1-21, March.
    18. Caiyun Qian & Yang Zhou & Ze Ji & Qing Feng, 2018. "The Influence of the Built Environment of Neighborhoods on Residents’ Low-Carbon Travel Mode," Sustainability, MDPI, vol. 10(3), pages 1-26, March.
    19. Cecilia Olivieri & Xavier Fageda, 2019. "Determinants of urban mobility with a focus on gender: a multilevel analysis in the Metropolitan Area of Montevideo, Uruguay," Documentos de Trabajo (working papers) 0419, Department of Economics - dECON.
    20. Marquet, Oriol & Miralles-Guasch, Carme, 2014. "Walking short distances. The socioeconomic drivers for the use of proximity in everyday mobility in Barcelona," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 210-222.

    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:9:y:2017:i:12:p:2166-:d:120381. 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 The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (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.