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Integrating node-place and trip end models to explore drivers of rail ridership in Flanders, Belgium

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  • Caset, Freke
  • Blainey, Simon
  • Derudder, Ben
  • Boussauw, Kobe
  • Witlox, Frank

Abstract

The node-place model is an analytical framework that was devised to identify spatial development opportunities for railway stations and their surroundings at the regional scale. Today, the model is predominantly invoked and applied in the context of ‘transit-oriented development’ planning debates. As a corollary, these model applications share the pursuit of supporting a transition towards increased rail ridership (and walking and cycling), and therefore assumingly a transition to more sustainable travel behavior. Surprisingly, analyses of the importance of node and place interventions in explaining rail ridership remain thin on the ground. Against this backdrop, this paper aims to integrate the node-place model approach with current insights that derive from the trip end modeling literature. To this end, we apply a series of regression analyses in order to appraise the most important explanatory factors that impact rail ridership in Flanders, Belgium, today. This appraisal is based on both geographical and temporal data segmentations, in order to test for different types of railway stations and for different periods of the day. Additionally, we explore spatial nonstationarity by calibrating geographically weighted regression models, and this for different time windows. The models developed should allow policy and planning professionals to investigate the possible demand impacts of changes to existing stations and the walkable area surrounding them.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:jotrge:v:87:y:2020:i:c:s0966692319308142
    DOI: 10.1016/j.jtrangeo.2020.102796
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    References listed on IDEAS

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    1. Reusser, Dominik E. & Loukopoulos, Peter & Stauffacher, Michael & Scholz, Roland W., 2008. "Classifying railway stations for sustainable transitions – balancing node and place functions," Journal of Transport Geography, Elsevier, vol. 16(3), pages 191-202.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Jun, Myung-Jin & Choi, Keechoo & Jeong, Ji-Eun & Kwon, Ki-Hyun & Kim, Hee-Jae, 2015. "Land use characteristics of subway catchment areas and their influence on subway ridership in Seoul," Journal of Transport Geography, Elsevier, vol. 48(C), pages 30-40.
    8. Chiang, Wen-Chyuan & Russell, Robert A. & Urban, Timothy L., 2011. "Forecasting ridership for a metropolitan transit authority," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(7), pages 696-705, August.
    9. Van Acker, Veronique & Witlox, Frank, 2010. "Car ownership as a mediating variable in car travel behaviour research using a structural equation modelling approach to identify its dual relationship," Journal of Transport Geography, Elsevier, vol. 18(1), pages 65-74.
    10. Kim, Hyojin & Sultana, Selima & Weber, Joe, 2018. "A geographic assessment of the economic development impact of Korean high-speed rail stations," Transport Policy, Elsevier, vol. 66(C), pages 127-137.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. Blainey, Simon, 2010. "Trip end models of local rail demand in England and Wales," Journal of Transport Geography, Elsevier, vol. 18(1), pages 153-165.
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    2. 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).
    3. 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).
    4. 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).
    5. 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).
    6. Cheng, Long & Wang, Kailai & De Vos, Jonas & Huang, Jie & Witlox, Frank, 2022. "Exploring non-linear built environment effects on the integration of free-floating bike-share and urban rail transport: A quantile regression approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 175-187.

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