IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v99y2022ics0966692322000011.html
   My bibliography  Save this article

Does intercity rail station placement matter? Expansion of the node-place model to identify station location impacts on Amtrak ridership

Author

Listed:
  • Cummings, Christopher
  • Mahmassani, Hani

Abstract

The node-place model has been used in previous studies to categorize urban transit rail stations, and to study impacts on transit station ridership. Similar studies have not been performed for intercity rail station ridership. This study uses the node-place model to examine the station-level factors affecting station ridership on the Amtrak network in the United States. The local factors include measures of the node and place quality of each station. The node-place model is expanded to include accessibility, an important consideration for the large catchment areas of intercity rail. Measures and indices defining each node-place-accessibility category are constructed and analyzed in two groups of Amtrak stations. A multivariate regression is used to determine the effects of each measure and category on the station ridership. The results indicate that the quality of place and accessibility for stations significantly impact station ridership for both groups of Amtrak stations. The findings contribute to a better understanding of the drivers of intercity rail ridership; the resulting insights could be used to improve service and development planning for intercity rail networks.

Suggested Citation

  • Cummings, Christopher & Mahmassani, Hani, 2022. "Does intercity rail station placement matter? Expansion of the node-place model to identify station location impacts on Amtrak ridership," Journal of Transport Geography, Elsevier, vol. 99(C).
  • Handle: RePEc:eee:jotrge:v:99:y:2022:i:c:s0966692322000011
    DOI: 10.1016/j.jtrangeo.2022.103278
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692322000011
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.jtrangeo.2022.103278?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. 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.
    2. 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.
    3. Caset, Freke & Blainey, Simon & Derudder, Ben & Boussauw, Kobe & Witlox, Frank, 2020. "Integrating node-place and trip end models to explore drivers of rail ridership in Flanders, Belgium," Journal of Transport Geography, Elsevier, vol. 87(C).
    4. Gutiérrez, Javier & Cardozo, Osvaldo Daniel & García-Palomares, Juan Carlos, 2011. "Transit ridership forecasting at station level: an approach based on distance-decay weighted regression," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1081-1092.
    5. Doina Olaru & Simon Moncrieff & Gary McCarney & Yuchao Sun & Tristan Reed & Cate Pattison & Brett Smith & Sharon Biermann, 2019. "Place vs. Node Transit: Planning Policies Revisited," Sustainability, MDPI, vol. 11(2), pages 1-14, January.
    6. 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.
    7. Nigro, Antonio & Bertolini, Luca & Moccia, Francesco Domenico, 2019. "Land use and public transport integration in small cities and towns: Assessment methodology and application," Journal of Transport Geography, Elsevier, vol. 74(C), pages 110-124.
    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. Taylor, Brian D. & Miller, Douglas & Iseki, Hiroyuki & Fink, Camille, 2003. "Analyzing the Determinants of Transit Ridership Using a Two-Stage Least Squares Regression on a National Sample of Urbanized Areas," University of California Transportation Center, Working Papers qt7xf3q4vh, University of California Transportation Center.
    10. Renne, John L. & Hamidi, Shima & Ewing, Reid, 2016. "Transit commuting, the network accessibility effect, and the built environment in station areas across the United States," Research in Transportation Economics, Elsevier, vol. 60(C), pages 35-43.
    11. Zhi Dong & Patricia Mokhtarian & Giovanni Circella & James Allison, 2015. "The estimation of changes in rail ridership through an onboard survey: did free Wi-Fi make a difference to Amtrak’s Capitol Corridor service?," Transportation, Springer, vol. 42(1), pages 123-142, January.
    12. Sung, Hyungun & Choi, Keechoo & Lee, Sugie & Cheon, SangHyun, 2014. "Exploring the impacts of land use by service coverage and station-level accessibility on rail transit ridership," Journal of Transport Geography, Elsevier, vol. 36(C), pages 134-140.
    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. 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).
    2. Weiyao Yang & Wanglin Yan & Lihua Chen & Haichen Wei & Shuang Gan, 2024. "Developing a TOD assessment model based on node–place–ecology for suburban areas of metropolitan cities: A case in Odawara," Environment and Planning B, , vol. 51(4), pages 839-853, May.
    3. Yaqi Hu & Yingzi Chen, 2022. "Coupling of Urban Economic Development and Transportation System: An Urban Agglomeration Case," Sustainability, MDPI, vol. 14(7), pages 1-17, March.
    4. 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).

    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 & 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).
    2. Caset, Freke & Blainey, Simon & Derudder, Ben & Boussauw, Kobe & Witlox, Frank, 2020. "Integrating node-place and trip end models to explore drivers of rail ridership in Flanders, Belgium," Journal of Transport Geography, Elsevier, vol. 87(C).
    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. 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).
    5. 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.
    6. Aston, Laura & Currie, Graham & Kamruzzaman, Md. & Delbosc, Alexa & Teller, David, 2020. "Study design impacts on built environment and transit use research," Journal of Transport Geography, Elsevier, vol. 82(C).
    7. Du, Qiang & Zhou, Yuqing & Huang, Youdan & Wang, Yalei & Bai, Libiao, 2022. "Spatiotemporal exploration of the non-linear impacts of accessibility on metro ridership," Journal of Transport Geography, Elsevier, vol. 102(C).
    8. 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).
    9. Eizaguirre-Iribar, Arritokieta & Grijalba, Olatz, 2020. "A methodological proposal for the analysis of disused railway lines as territorial structuring elements: The case study of the Vasco-Navarro railway," Land Use Policy, Elsevier, vol. 91(C).
    10. Li, Shaoying & Lyu, Dijiang & Huang, Guanping & Zhang, Xiaohu & Gao, Feng & Chen, Yuting & Liu, Xiaoping, 2020. "Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China," Journal of Transport Geography, Elsevier, vol. 82(C).
    11. 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).
    12. 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.
    13. 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).
    14. 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).
    15. Wu, Hao & Lee, Jinwoo (Brian) & Levinson, David, 2023. "The node-place model, accessibility, and station level transit ridership," Journal of Transport Geography, Elsevier, vol. 113(C).
    16. Ingvardson, Jesper Bláfoss & Nielsen, Otto Anker, 2018. "How urban density, network topology and socio-economy influence public transport ridership: Empirical evidence from 48 European metropolitan areas," Journal of Transport Geography, Elsevier, vol. 72(C), pages 50-63.
    17. Mohammad Hamed Abdi & Ali Soltani, 2022. "Which Fabric/Scale Is Better for Transit-Oriented Urban Design: Case Studies in a Developing Country," Sustainability, MDPI, vol. 14(12), pages 1-22, June.
    18. 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.
    19. Verachtert, Els & Mayeres, Inge & Vermeiren, Karolien & Van der Meulen, Maarten & Vanhulsel, Marlies & Vanderstraeten, Geoffrey & Loris, Isabelle & Mertens, Geert & Engelen, Guy & Poelmans, Lien, 2023. "Mapping regional accessibility of public transport and services in support of spatial planning: A case study in Flanders," Land Use Policy, Elsevier, vol. 133(C).
    20. Wang, Jing & Wan, Feng & Dong, Chunjiao & Yin, Chaoying & Chen, Xiaoyu, 2023. "Spatiotemporal effects of built environment factors on varying rail transit station ridership patterns," Journal of Transport Geography, Elsevier, vol. 109(C).

    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:99:y:2022:i:c:s0966692322000011. 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.