IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v100y2022ics0966692322000564.html
   My bibliography  Save this article

Evaluating the performance of transit-oriented development in Beijing metro station areas: Integrating morphology and demand into the node-place model

Author

Listed:
  • Liao, Cong
  • Scheuer, Bronte

Abstract

Transit-oriented development (TOD) is being promoted as a promising development strategy to integrate transit and land use around public transportation stations. The node-place model provides a useful framework to evaluate the performance of TOD by focusing on the balancing of node and place characteristics. Although the demand characteristics in station areas reflects current development situation and hierarchical status at the station level and regional level respectively, which promotes the reshaping of urban spatial structures, the demand related factors have rarely been systematically incorporated into the node-place model in previous studies compared to various morphological factors used in TOD evaluation. In this study, the demand related factors derived from multi-source geotagged big data in ‘Transit’, ‘Development’ and ‘Interaction’ dimensions of TOD are implemented into the node-place model. Metro station areas in Beijing were used as the case study area and were classified using K-means clustering method based on combination of both demand and morphology indicators. Our results show that the performance of TOD in station areas in terms of demand and morphology do not necessarily match well, especially for ‘Transit’ and ‘Interaction’ dimensions. The five identified types with different TOD characteristics based on demand factors indicate three levels of station areas (large, medium and small) in Beijing. The seven identified types based on both morphological and demand factors provide a more comprehensive characterization of TOD station area. We suggest adding demand factors to the node-place model to better assess the existing level of station areas.

Suggested Citation

  • Liao, Cong & Scheuer, Bronte, 2022. "Evaluating the performance of transit-oriented development in Beijing metro station areas: Integrating morphology and demand into the node-place model," Journal of Transport Geography, Elsevier, vol. 100(C).
    • Handle: RePEc:eee:jotrge:v:100:y:2022:i:c:s0966692322000564
    DOI: 10.1016/j.jtrangeo.2022.103333
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692322000564
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jtrangeo.2022.103333?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. Ibraeva, Anna & Correia, Gonçalo Homem de Almeida & Silva, Cecília & Antunes, António Pais, 2020. "Transit-oriented development: A review of research achievements and challenges," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 110-130.
    2. Yu Liu & Xi Liu & Song Gao & Li Gong & Chaogui Kang & Ye Zhi & Guanghua Chi & Li Shi, 2015. "Social Sensing: A New Approach to Understanding Our Socioeconomic Environments," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 105(3), pages 512-530, May.
    3. Jian Feng & Yixing Zhou & Fulong Wu, 2008. "New Trends of Suburbanization in Beijing since 1990: From Government-led to Market-oriented," Regional Studies, Taylor & Francis Journals, vol. 42(1), pages 83-99.
    4. van Wee, Bert, 2016. "Accessible accessibility research challenges," Journal of Transport Geography, Elsevier, vol. 51(C), pages 9-16.
    5. Zemp, Stefan & Stauffacher, Michael & Lang, Daniel J. & Scholz, Roland W., 2011. "Classifying railway stations for strategic transport and land use planning: Context matters!," Journal of Transport Geography, Elsevier, vol. 19(4), pages 670-679.
    6. Singh, Yamini Jain & Lukman, Azhari & Flacke, Johannes & Zuidgeest, Mark & Van Maarseveen, M.F.A.M., 2017. "Measuring TOD around transit nodes - Towards TOD policy," Transport Policy, Elsevier, vol. 56(C), pages 96-111.
    7. Dan Vickers & Phil Rees, 2007. "Creating the UK National Statistics 2001 output area classification," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(2), pages 379-403, March.
    8. Kamruzzaman, Md. & Baker, Douglas & Washington, Simon & Turrell, Gavin, 2014. "Advance transit oriented development typology: case study in Brisbane, Australia," Journal of Transport Geography, Elsevier, vol. 34(C), pages 54-70.
    9. Vale, David S., 2015. "Transit-oriented development, integration of land use and transport, and pedestrian accessibility: Combining node-place model with pedestrian shed ratio to evaluate and classify station areas in Lisbo," Journal of Transport Geography, Elsevier, vol. 45(C), pages 70-80.
    10. Zemp, Stefan & Stauffacher, Michael & Lang, Daniel J. & Scholz, Roland W., 2011. "Generic functions of railway stations--A conceptual basis for the development of common system understanding and assessment criteria," Transport Policy, Elsevier, vol. 18(2), pages 446-455, March.
    11. Zhang, Yuerong & Marshall, Stephen & Manley, Ed, 2019. "Network criticality and the node-place-design model: Classifying metro station areas in Greater London," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    12. Papa, Enrica & Bertolini, Luca, 2015. "Accessibility and Transit-Oriented Development in European metropolitan areas," Journal of Transport Geography, Elsevier, vol. 47(C), pages 70-83.
    13. F. Semboloni, 2008. "Hierarchy, cities size distribution and Zipf's law," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 63(3), pages 295-301, June.
    14. Su, Shiliang & Zhang, Hui & Wang, Miao & Weng, Min & Kang, Mengjun, 2021. "Transit-oriented development (TOD) typologies around metro station areas in urban China: A comparative analysis of five typical megacities for planning implications," Journal of Transport Geography, Elsevier, vol. 90(C).
    15. Nasri, Arefeh & Zhang, Lei, 2014. "The analysis of transit-oriented development (TOD) in Washington, D.C. and Baltimore metropolitan areas," Transport Policy, Elsevier, vol. 32(C), pages 172-179.
    16. Jingyi Lin & Yifang Ban, 2013. "Complex Network Topology of Transportation Systems," Transport Reviews, Taylor & Francis Journals, vol. 33(6), pages 658-685, November.
    17. Daquan Huang & Zhen Liu & Xingshuo Zhao, 2015. "Monocentric or Polycentric? The Urban Spatial Structure of Employment in Beijing," Sustainability, MDPI, vol. 7(9), pages 1-25, August.
    18. 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.
    19. Timothy F. Welch & Alyas Widita, 2019. "Big data in public transportation: a review of sources and methods," Transport Reviews, Taylor & Francis Journals, vol. 39(6), pages 795-818, November.
    20. van Wee, Bert, 2011. "Evaluating the impact of land use on travel behaviour: the environment versus accessibility," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1530-1533.
    21. El-Geneidy, Ahmed & Levinson, David & Diab, Ehab & Boisjoly, Genevieve & Verbich, David & Loong, Charis, 2016. "The cost of equity: Assessing transit accessibility and social disparity using total travel cost," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 302-316.
    22. Jiangping Zhou & Yuling Yang & Chris Webster, 2020. "Using Big and Open Data to Analyze Transit-Oriented Development," Journal of the American Planning Association, Taylor & Francis Journals, vol. 86(3), pages 364-376, July.
    23. Bagchi, M. & White, P.R., 2005. "The potential of public transport smart card data," Transport Policy, Elsevier, vol. 12(5), pages 464-474, September.
    24. Singh, Yamini Jain & Fard, Pedram & Zuidgeest, Mark & Brussel, Mark & Maarseveen, Martin van, 2014. "Measuring transit oriented development: a spatial multi criteria assessment approach for the City Region Arnhem and Nijmegen," Journal of Transport Geography, Elsevier, vol. 35(C), pages 130-143.
    25. Chorus, Paul & Bertolini, Luca, 2011. "An application of the node-place model to explore the spatial development dynamics of station areas in Tokyo," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 4(1), pages 45-58.
    26. Higgins, Christopher D. & Kanaroglou, Pavlos S., 2016. "A latent class method for classifying and evaluating the performance of station area transit-oriented development in the Toronto region," Journal of Transport Geography, Elsevier, vol. 52(C), pages 61-72.
    27. Li, Zekun & Han, Zixuan & Xin, Jing & Luo, Xin & Su, Shiliang & Weng, Min, 2019. "Transit oriented development among metro station areas in Shanghai, China: Variations, typology, optimization and implications for land use planning," Land Use Policy, Elsevier, vol. 82(C), pages 269-282.
    28. Atkinson-Palombo, Carol & Kuby, Michael J., 2011. "The geography of advance transit-oriented development in metropolitan Phoenix, Arizona, 2000–2007," Journal of Transport Geography, Elsevier, vol. 19(2), pages 189-199.
    29. Lyu, Guowei & Bertolini, Luca & Pfeffer, Karin, 2016. "Developing a TOD typology for Beijing metro station areas," Journal of Transport Geography, Elsevier, vol. 55(C), pages 40-50.
    30. Yongqiang Lv & Xinqi Zheng & Lin Zhou & Lulu Zhang, 2017. "Decentralization and Polycentricity: Spatial Changes of Employment in Beijing Metropolitan Area, China," Sustainability, MDPI, vol. 9(10), pages 1-17, October.
    31. Becky P. Y. Loo & Frederic du Verle, 2017. "Transit-oriented development in future cities: towards a two-level sustainable mobility strategy," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 21(0), pages 54-67, August.
    32. Ed Manley & Chen Zhong & Michael Batty, 2018. "Spatiotemporal variation in travel regularity through transit user profiling," Transportation, Springer, vol. 45(3), pages 703-732, May.
    33. Zhen Liu & Shenghe Liu, 2018. "Polycentric Development and the Role of Urban Polycentric Planning in China’s Mega Cities: An Examination of Beijing’s Metropolitan Area," Sustainability, MDPI, vol. 10(5), pages 1-14, May.
    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. Chen, Zhiheng & Li, Peiran & Jin, YanXiu & Bharule, Shreyas & Jia, Ning & Li, Wenjing & Song, Xuan & Shibasaki, Ryosuke & Zhang, Haoran, 2023. "Using mobile phone big data to identify inequity of aging groups in transit-oriented development station usage: A case of Tokyo," Transport Policy, Elsevier, vol. 132(C), pages 65-75.
    2. Robillard, Arianne & Boisjoly, Geneviève & van Lierop, Dea, 2024. "Transit-oriented development and bikeability: Classifying public transport station areas in Montreal, Canada," Transport Policy, Elsevier, vol. 148(C), pages 79-91.
    3. Zhou, Mingzhi & Zhou, Jiali & Zhou, Jiangping & Lei, Shuyu & Zhao, Zhan, 2023. "Introducing social contacts into the node-place model: A case study of Hong Kong," Journal of Transport Geography, Elsevier, vol. 107(C).
    4. Zhang, Zhaolin & Zhai, Guocong & Xie, Kun & Xiao, Feng, 2022. "Exploring the nonlinear effects of ridesharing on public transit usage: A case study of San Diego," Journal of Transport Geography, Elsevier, vol. 104(C).

    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, Shiliang & Zhang, Hui & Wang, Miao & Weng, Min & Kang, Mengjun, 2021. "Transit-oriented development (TOD) typologies around metro station areas in urban China: A comparative analysis of five typical megacities for planning implications," Journal of Transport Geography, Elsevier, vol. 90(C).
    2. Li, Zekun & Han, Zixuan & Xin, Jing & Luo, Xin & Su, Shiliang & Weng, Min, 2019. "Transit oriented development among metro station areas in Shanghai, China: Variations, typology, optimization and implications for land use planning," Land Use Policy, Elsevier, vol. 82(C), pages 269-282.
    3. Choi, Yunkyung & Guhathakurta, Subhrajit, 2024. "Unraveling the diversity in transit-oriented development," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
    4. Chen, Zhiheng & Li, Peiran & Jin, YanXiu & Bharule, Shreyas & Jia, Ning & Li, Wenjing & Song, Xuan & Shibasaki, Ryosuke & Zhang, Haoran, 2023. "Using mobile phone big data to identify inequity of aging groups in transit-oriented development station usage: A case of Tokyo," Transport Policy, Elsevier, vol. 132(C), pages 65-75.
    5. Su, Shiliang & Wang, Zhuolun & Li, Bozhao & Kang, Mengjun, 2022. "Deciphering the influence of TOD on metro ridership: An integrated approach of extended node-place model and interpretable machine learning with planning implications," Journal of Transport Geography, Elsevier, vol. 104(C).
    6. Liu, Yunzhe & Singleton, Alex & Arribas-Bel, Daniel, 2020. "Considering context and dynamics: A classification of transit-orientated development for New York City," Journal of Transport Geography, Elsevier, vol. 85(C).
    7. Ibraeva, Anna & Correia, Gonçalo Homem de Almeida & Silva, Cecília & Antunes, António Pais, 2020. "Transit-oriented development: A review of research achievements and challenges," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 110-130.
    8. Jeffrey, Dana & Boulangé, Claire & Giles-Corti, Billie & Washington, Simon & Gunn, Lucy, 2019. "Using walkability measures to identify train stations with the potential to become transit oriented developments located in walkable neighbourhoods," Journal of Transport Geography, Elsevier, vol. 76(C), pages 221-231.
    9. Ying Liang & Wei Song & Xiaofeng Dong, 2021. "Evaluating the Space Use of Large Railway Hub Station Areas in Beijing toward Integrated Station-City Development," Land, MDPI, vol. 10(11), pages 1-22, November.
    10. Zhang, Yuerong & Marshall, Stephen & Manley, Ed, 2019. "Network criticality and the node-place-design model: Classifying metro station areas in Greater London," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    11. Papa, Enrica & Bertolini, Luca, 2015. "Accessibility and Transit-Oriented Development in European metropolitan areas," Journal of Transport Geography, Elsevier, vol. 47(C), pages 70-83.
    12. Zheng, Lingwei & Austwick, Martin Zaltz, 2023. "Classifying station areas in greater Manchester using the node-place-design model: A comparative analysis with system centrality and green space coverage," Journal of Transport Geography, Elsevier, vol. 112(C).
    13. Yingqun Zhang & Rui Song & Rob van Nes & Shiwei He & Weichuan Yin, 2019. "Identifying Urban Structure Based on Transit-Oriented Development," Sustainability, MDPI, vol. 11(24), pages 1-21, December.
    14. Wei Wu & Prasanna Divigalpitiya, 2022. "Assessment of Accessibility and Activity Intensity to Identify Future Development Priority TODs in Hefei City," Land, MDPI, vol. 11(9), pages 1-17, September.
    15. Rao, Fujie & Pafka, Elek, 2021. "Shopping morphologies of urban transit station areas: A comparative study of central city station catchments in Toronto, San Francisco, and Melbourne," Journal of Transport Geography, Elsevier, vol. 96(C).
    16. Vale, David S. & Viana, Cláudia M. & Pereira, Mauro, 2018. "The extended node-place model at the local scale: Evaluating the integration of land use and transport for Lisbon's subway network," Journal of Transport Geography, Elsevier, vol. 69(C), pages 282-293.
    17. Qiaoling Fang & Tomo Inoue & Dongqi Li & Qiang Liu & Jian Ma, 2023. "Transit-Oriented Development and Sustainable Cities: A Visual Analysis of the Literature Based on CiteSpace and VOSviewer," Sustainability, MDPI, vol. 15(10), pages 1-18, May.
    18. Pezeshknejad, Parsa & Monajem, Saeed & Mozafari, Hamid, 2020. "Evaluating sustainability and land use integration of BRT stations via extended node place model, an application on BRT stations of Tehran," Journal of Transport Geography, Elsevier, vol. 82(C).
    19. Su, Shiliang & Zhao, Chong & Zhou, Hao & Li, Bozhao & Kang, Mengjun, 2022. "Unraveling the relative contribution of TOD structural factors to metro ridership: A novel localized modeling approach with implications on spatial planning," Journal of Transport Geography, Elsevier, vol. 100(C).
    20. Singh, Yamini Jain & Lukman, Azhari & Flacke, Johannes & Zuidgeest, Mark & Van Maarseveen, M.F.A.M., 2017. "Measuring TOD around transit nodes - Towards TOD policy," Transport Policy, Elsevier, vol. 56(C), pages 96-111.

    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:jotrge:v:100:y:2022:i:c:s0966692322000564. 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: https://www.journals.elsevier.com/journal-of-transport-geography .

    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.